JP2018077574A - Electric power demand procurement supporting system, information processing apparatus, information processing method and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To take advantage of a real time trading by performing notification of a demand procurement plan according to a notification method and a format.SOLUTION: An information processing apparatus includes: an electric power demand prediction unit calculating an electric power demand prediction amount of a new electric power company; an electronic bidding unit conducting an electronic bidding for an electric power trading market on the basis of the electric power demand prediction amount and acquiring a contract price and an electric power procurement amount which are results of the electronic bidding; another electric power procurement unit procuring a difference between the electric power demand prediction amount and the electric power procurement amount procured from the electric power trading market, from another electric power source; a first notification unit performing electronic notification of a first demand procurement plan including the electric power demand prediction amount of the new electric power company, the electric power procurement amount procured from the electric power trading market and a procured electric power amount procured from the other electric power source in a next day, to an organization promoting electric power wide area operations; and a second notification unit performing electronic notification of a second demand procurement plan including the electric power demand prediction amount of the new electric power company, an adjustment value of the electric power procurement amount procured from the electric power trading market, and an adjustment amount of the electric power procurement amount procured from the other electric power source before the time, to the organization promoting electric power wide area operations.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a technology that supports the demand procurement of electric power by a new electric power company.

  In the above technical field, Non-Patent Documents 1 and 2 include a sales plan and a procurement plan for a new electric power company (PPS), a power generation plan for a power generation / transmission / distribution / consignor, The supply and demand plan notification procedure and description format are shown.

Receiving business such as power generation plan Business protocol standard (simultaneous amount of planned value) (Ver. 3A) Electricity wide area operation promotion organization, July 2015, https://www.occto.or.jp/jigyosha/shisutemurenkei/ files / hatudenkeikakuBP_V3A.pdf Business plan standard (Ver. 3C) Electricity wide area operation promotion organization, April 2016, https://www.occto.or.jp/jigyosha/shisutemurenkei/files/hatudenkeikakuBP_V3C.PDF

  However, in the new power utility (PPS), even in real-time transactions before the time, with the notification according to the format of the power wide-area operation promotion organization of the rapid sales plan and procurement plan, to other power sources such as consignors However, notification by the specified notification method in the specified format is required. However, the notification method and format are different from the results of contracts by the Japan Wholesale Electric Power Exchange (hereinafter referred to as JEPX), and the notification method and format are not uniform, making it impossible to fully utilize real-time transactions before the time. It was.

  The objective of this invention is providing the technique which solves the above-mentioned subject.

In order to achieve the above object, an information processing apparatus according to the present invention provides:
A power demand forecasting means for calculating a power demand forecast amount of a new power company;
An electronic bidding means for performing an electronic bidding on the electric power trading market based on the electric power demand forecast amount, and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
Other power procurement means for procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. A first notification means for electronically communicating to the administrative promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification means for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
Is provided.

In order to achieve the above object, an information processing method according to the present invention includes:
A power demand forecasting step for calculating a power demand forecast amount of a new power company;
An electronic bidding step of performing an electronic bidding on the electric power trading market based on the predicted electric power demand amount and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
The other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. The first notification step to electronically communicate with the operational promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification step for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
including.

In order to achieve the above object, an information processing program according to the present invention provides:
A power demand forecasting step for calculating a power demand forecast amount of a new power company;
An electronic bidding step of performing an electronic bidding on the electric power trading market based on the predicted electric power demand amount and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
The other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. The first notification step to electronically communicate with the operational promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification step for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
Is executed on the computer.

In order to achieve the above object, a power demand procurement support system according to the present invention includes:
A power demand forecasting means for forecasting the future power demand forecast amount of each power consumer;
A power procurement distribution means for appropriately allocating a future power procurement amount to a power consumer participating in a new power company based on a predicted future power demand amount of each power consumer;
A power bidding means for bidding on the power trading market according to the distribution of the power procurement amount;
Electric power demand procurement notification means for notifying the electric power wide area operation promotion organization of the electric power demand and electric power procurement amount of the new electric power company including the result of the bidding at a predetermined time;
A power demand procurement support system including
The power demand procurement notification means is:
Other power procurement means for procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. A first notification means for electronically communicating to the administrative promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification means for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
Is provided.

  According to the present invention, it is possible to promptly notify the demand procurement plan according to the notification method and format, and to fully utilize the real-time transaction before the time.

It is a block diagram which shows the structure of the information processing apparatus which concerns on 1st Embodiment of this invention. It is a figure which shows the outline | summary of the electric power demand procurement assistance process by the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the structure of the electric power demand procurement assistance system containing the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the structure of the electric power supply-and-demand management system including the manual operation which concerns on a base technology. It is a sequence diagram which shows the operation | movement sequence of the market one day ago of the electric power demand procurement assistance system containing the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a sequence diagram which shows the operation | movement sequence of the market before time of the electric power demand procurement assistance system containing the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the electric power demand procurement assistance server as an information processing apparatus which concerns on 2nd Embodiment of this invention. It is a figure which shows the data flow of the electric power demand procurement assistance server as an information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the demand prediction part which concerns on 2nd Embodiment of this invention. It is a figure which shows the structure of the database for demand prediction which concerns on 2nd Embodiment of this invention. It is a figure which shows the structure of the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the explanatory variable used with the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the other explanatory variable used with the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the accumulation | storage state of the explanatory variable in the database for demand prediction used with the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the parameter used with the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the output information from the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the other structure of the demand prediction calculation part which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the position generation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the structure of the database for position calculation which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the position calculation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the input information and input parameter of the position calculation part which concern on 2nd Embodiment of this invention. It is a figure which shows the input / output information of the position calculation part which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the JEPX bid control part which concerns on 2nd Embodiment of this invention. It is a figure which shows the structure of the database for JEPX bids concerning 2nd Embodiment of this invention. It is a figure which shows the bid sequence and bid information to the market one day ago in JEPX which concerns on 2nd Embodiment of this invention. It is a figure explaining the contract price determination method of the market one day ago in JEPX which concerns on 2nd Embodiment of this invention. It is a figure which shows the contract information from the market one day ago in JEPX which concerns on 2nd Embodiment of this invention. It is a figure which shows the bidding sequence and bid information to the market before time in JEPX which concerns on 2nd Embodiment of this invention. It is a figure explaining the contract price determination method of the market before time in JEPX which concerns on 2nd Embodiment of this invention. It is a figure which shows the contract information from the market before time in JEPX which concerns on 2nd Embodiment of this invention. It is a figure explaining the contract price determination of the JBU market in JEPX which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the wide area engine notification production | generation part which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the other power supply communication production | generation part which concerns on 2nd Embodiment of this invention. It is a figure which shows the structure of the notification database which concerns on 2nd Embodiment of this invention. It is a sequence diagram which shows the communication procedure of the electric power demand procurement support server which concerns on 2nd Embodiment of this invention, and a wide area organization. It is a figure which shows the notification information one day before of the notification style by the wide area organization which concerns on 2nd Embodiment of this invention. It is a figure which shows the notification information one day before of the notification style by the wide area organization which concerns on 2nd Embodiment of this invention. It is a figure which shows the notification information of the day (1 hour ago) of the notification style by the wide area organization which concerns on 2nd Embodiment of this invention. It is a figure which shows the contact information of the contact style in the other electric power source which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the hardware constitutions of the electric power demand procurement assistance server as an information processing apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the process sequence of the electric power demand procurement assistance server as an information processing apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the other process sequence of the electric power demand procurement assistance server as an information processing apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the procedure of the demand prediction process which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the procedure of the position production | generation process which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the procedure of the electric power procurement process which concerns on 2nd Embodiment of this invention. It is a flowchart which shows the procedure of the notification transmission process which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the structure of the electric power demand procurement assistance system containing the information processing apparatus which concerns on 3rd Embodiment of this invention. It is a block diagram which shows the function structure of the electric power demand procurement assistance server as an information processing apparatus which concerns on 3rd Embodiment of this invention. It is a figure which shows the structure of the database for group bids concerning 3rd Embodiment of this invention. It is a block diagram which shows the outline | summary of the electric power demand procurement assistance system containing the information processing apparatus which concerns on 4th Embodiment of this invention. It is a block diagram which shows the function structure of the electric power demand procurement assistance server as an information processing apparatus which concerns on 4th Embodiment of this invention. It is a figure which shows the structure of the database for secondary markets which concerns on 4th Embodiment of this invention.

  Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. However, the constituent elements described in the following embodiments are merely examples, and are not intended to limit the technical scope of the present invention only to them.

[First Embodiment]
An information processing apparatus 100 as a first embodiment of the present invention will be described with reference to FIG. The information processing apparatus 100 is an apparatus for supporting the demand procurement of electric power by a new electric power company.

  As illustrated in FIG. 1, the information processing apparatus 100 includes a power demand prediction unit 101, an electronic bidding unit 102, another power procurement unit 103, a first notification unit 104, and a second notification unit 105. The power demand prediction unit 101 calculates a power demand prediction amount of a new power company. The electronic bidding unit 102 performs electronic bidding on the electric power trading market based on the predicted power demand, and acquires a contract price and a power procurement amount as a result of the electronic bidding. The other power procurement unit 103 procures the difference between the predicted power demand and the amount of power procurement from the power trading market from other power sources. The 1st notification part 104 is the 1st demand procurement plan containing the electric power demand forecast amount of the new electric power company on the next day, the electric power procurement amount procured from an electric power trading market, and the procured electric energy amount procured from other electric power sources. Communicate electronically to the regional power promotion organization. The second notification unit 105 includes the predicted amount of power demand of the new electric power company, the adjustment amount of the power procurement amount procured from the power trading market, and the adjustment amount of the power procurement amount procured from other power sources before time. The second demand procurement plan including is electronically notified to the electric power wide-area operation promotion organization.

  According to the present embodiment, the demand procurement plan is promptly notified according to the notification method and format from the predicted amount of power demand, the result of electronic bidding to the power trading market, and the amount of procurement from other power sources. Real-time trading can be fully utilized.

[Second Embodiment]
Next, an information processing apparatus according to the second embodiment of the present invention will be described. The information processing apparatus according to the present embodiment provides a new power operator with a power demand prediction unit that predicts a future power demand forecast amount of each power consumer, and a future power demand forecast amount of each power consumer. A new power business that includes the power procurement allocation unit that appropriately allocates the future power procurement amount to participating power consumers, the power bidding unit that bids on the power trading market according to the distribution of the power procurement amount, and the results of the bidding A power demand procurement notification section that communicates the power demand amount and power procurement amount of a person to a wide-area organization at a predetermined time.

  Among these, the characteristic configuration of the present invention is to promptly notify the wide-area organization at a predetermined time of the power demand amount and power procurement amount of the new electric power company including the result of bidding. That is, the other power procurement unit adjusts the combination of procurement from other power sources based on the purchase unit and unit price of other power sources. In addition, the first demand procurement plan and the second demand procurement plan include a procurement plan according to a communication format with other power sources. In addition, a communication unit that communicates data including the amount of power procured from another power source in accordance with a communication protocol instructed by the other power source in accordance with a communication format instructed by the other power source is further provided. Then, the first notification unit and the second notification unit respectively generate the first demand procurement plan and the second demand by converting the first demand procurement plan and the second demand procurement plan into data systems designated by the wide area organization. An electronic communication is made according to the communication protocol instructed by the regional organization for procurement plans

《Outline of power demand procurement support processing》
FIG. 2 is a diagram showing an outline of the power demand procurement support process 200 by the information processing apparatus according to the present embodiment.

  The basic configuration of the power demand procurement support processing 200 according to the present embodiment corresponds to daily spot trading of electricity one day before and to real-time trading one hour before electricity to the Japan Wholesale Power Exchange (hereinafter referred to as JEPX). By automatically processing the series of processes, the power demand procurement management of a new electric power company (hereinafter referred to as PPS) is supported.

  In relation to the daily spot transaction of the power demand procurement support process 200 in the present embodiment, a series of AI demand forecast 211, optimum position calculation 212, power purchase bid 213 one day before to the JEPX spot market, The continuous backup power supply communication 214 and the notification 215 of the power demand procurement information one day ago to the wide-area organization are automatically executed without human operation. In the spot market, 48 frames every 30 minutes on the next day are bid together.

  In addition, in connection with the real-time transaction of the power demand procurement support process 200 in the present embodiment, a series of AI demand forecasts 221, a corrected position calculation 222, a power purchase bid 223 for the market one hour before JEPX, The backup power supply communication 224 and the notification 225 to the wide-area organization of the power demand procurement information one hour ago are automatically executed without human operation. In the real-time market, bids are made in units of one frame after one hour on the day.

  According to this example, it is possible to provide the PPS with a distribution to a supplier that reduces procurement costs and ensures power procurement as a function of an appropriate demand forecast amount and each power supply price. For example, the procurement is adjusted so that the power procurement by bidding on JEPX and the power procurement from the always-on backup power supply are approximately 6: 4. Thus, the power demand procurement support process 200 in this embodiment supports the power demand procurement management in each PPS.

<< Electric power demand procurement support system >>
FIG. 3A is a block diagram showing a configuration of a power demand procurement support system 300 including a power demand procurement support server 310 as an information processing apparatus according to the present embodiment.

  The power demand procurement support system 300 is connected via a network 370. The power demand procurement support server (EATS) 310 of this embodiment, the power source 330, the Japan Wholesale Power Exchange 340, and the electric power wide area operation promotion. An organization (OCCTO: hereinafter, wide area organization) 350 and a power demand condition providing server 360 are provided.

  The power source 330 includes a power contractor 331, a power transmission / distribution company 332, and a power generation company 333. In addition, the power demand procurement support server 310 of the present embodiment is connected to target new power providers 321 to 32n that support power demand procurement management. Each PPS is connected to a contracted power consumer. The power demand condition providing server 360 includes a server that provides detailed forecast weather information, a server that provides regional event information such as entertainment, a server that provides information such as disasters, and the like.

  The configuration of the power demand procurement support system 300 is not limited to FIG. 3A.

(Prerequisite technology)
FIG. 3B is a block diagram illustrating a configuration of the power supply and demand management system 301 including manual operation according to the base technology.

  In the power supply / demand management system 301, a receiver / demand / supply manager 320, a consignor, a power transmission / distribution company (electric power company ...) 330, a JEPX 340, a wide-area organization 350, and a financial institution 380 are illustrated. Here, the receiver / demand manager 320 includes the power consumer and the PPS of FIG. 3A. In FIG. 3B, each PPS becomes a JEPX trading member and deals with JPEX through a demand plan and a supply plan. Various plan values are separately reported to a wide-area organization from a retailer or a power plant.

  In FIG. 3B, a plurality of system components cannot efficiently execute a series of processes.

(Operation sequence of the market one day ago)
FIG. 4A is a sequence diagram showing an operation sequence in the market one day ago of the power demand procurement support system 300 according to the present embodiment.

  In step S401, each PPS 321 to 32n starts an application and connects to the power demand procurement support server 310. In steps S403 and S405, the PPSs 321 to 32n transmit, to the power demand procurement support server 310, customer conditions including information on power consumers who have contracted with each PPS, contents of consignment contracts, and the like.

  In step S <b> 407, the power demand procurement support server 310 acquires the conditions used for predicting the power demand from the power demand condition providing server group 360. In step S409, the power demand procurement support server 310 calculates a demand forecast amount of each power consumer by AI (forward propagation type neural network) based on the acquired power demand condition, power demand record, and the like. In step S411, the power demand procurement support server 310 acquires, from the JEPX 340 and the wide area organization 350, power transaction information such as a power unit price and a purchase unit used for calculating the optimum position. Then, in step S413, the power demand procurement support server 310 converts the demand forecast amount of each power consumer into a contract amount of each PPS, a power transaction information such as a power unit price and a purchase unit, and a history. Based on this, an optimal position is calculated by linear programming.

  In steps S415 and S417, the power demand procurement support server 310 refers to the calculated optimum position and makes a bid for JEPX340 one day in advance for PPS321 power procurement and PPS32n power procurement. In step S419, JEPX 340 executes a one-day-old market contract process in a blind single price manner. In step S421, the JEPX 340 notifies the power demand procurement support server 310 of the execution result.

  In step S423, the power demand procurement support server 310 adjusts power procurement from other power sources such as consignment power sources according to the power demand forecast amount based on the execution result, and sets the sales plan for the next day for each PPS. Generate a procurement plan. If it has power generation capability, it also generates a power generation plan and a supply and demand plan. In step S425 or S427, the power demand procurement support server 310 notifies the wide area organization 350 of the demand procurement plan for PPS 321 and PPS 32n on the next day. In step S429, the wide area engine 350 instructs each power supply and demand related party to adjust the power supply and demand on the next day from the demand procurement plan, other power generation plans, and transmission and distribution plans.

  In addition, when confirming the sales plan / procurement plan in which the PPS is generated or the sales plan / procurement plan notified to the wide-area organization, the same content is transmitted to the PPS.

(Operation sequence of market before time)
FIG. 4B is a sequence diagram showing an operation sequence in the market before time of the power demand procurement support system 300 according to the present embodiment.

  In step S431, the power demand procurement support server 310 analyzes the power demand procurement plan for the next day from new power demand results and the like. In step S433, the power demand procurement support server 310 obtains the current conditions used for predicting the power demand from the power demand condition providing server 360. In step S435, the power demand procurement support server 310, based on the latest power demand condition and power demand record, etc., the predicted amount of demand after one hour of each power consumer by AI (forward propagation type neural network). Is calculated. In step S437, the power demand procurement support server 310 acquires power transaction information and history such as the latest power unit price and purchase unit used for calculating the optimal position from the JEPX 340 and the wide-area organization 350. Then, in step S439, the power demand procurement support server 310, the demand forecast amount obtained by collecting the demand forecast amount of each power consumer for each PPS contract, and the power transaction information and history such as the latest power unit price and purchase unit. Based on the above, the optimal position after one hour is calculated by linear programming.

  In step S441 or S443, the power demand procurement support server 310 refers to the calculated optimum position and performs real-time bidding for JEPX340 one hour ago for power procurement for PPS321 and power procurement for PPS32n. . In step S445, the JEPX 340 executes the real-time market contract processing by the Zaraba method. In step S447, the JEPX 340 notifies the power demand procurement support server 310 of the execution result.

  In step S449, the power demand procurement support server 310 adjusts power procurement from other power sources such as consignment power sources according to the power demand forecast amount based on the execution result, and after one hour for each PPS. Generate sales and procurement plans. If it has power generation capability, it also generates a power generation plan and a supply and demand plan. In step S451 or S453, the power demand procurement support server 310 notifies the wide area organization 350 of a demand procurement plan for PPS 321 and PPS 32n one hour ago. In step S455, the wide area engine 350 instructs each power supply and demand related party to adjust power supply and demand after one hour from the demand procurement plan, other power generation plans, transmission and distribution plans, etc., and performs imbalance processing in each PPS. Do.

  In addition, when confirming the sales plan / procurement plan in which the PPS is generated or the sales plan / procurement plan notified to the wide-area organization, the same content is transmitted to the PPS.

<< Functional configuration of power demand procurement support server >>
FIG. 5A is a block diagram illustrating a functional configuration of the power demand procurement support server 310 as the information processing apparatus according to the present embodiment.

  The power demand procurement support server 310 includes a communication control unit 501, a customer information / consignment contract information acquisition unit 502, a demand condition information acquisition unit 503, a database 504, and a demand prediction unit 505 for each support PPS. . Here, the database 504 includes a demand prediction database 541, an optimum position calculation database 542, a JEPX bid database 543, and a notification database 544. In addition, the power demand procurement support server 310 includes a position generation unit 506, a JEPX bid control unit 507, a wide-area organization notification generation unit 508, and a wide-area organization notification transmission unit 509 for each support PPS. Furthermore, the power demand procurement support server 310 includes an other power supply information acquisition unit 510, an other power supply contact generation unit 511, and another power supply contact transmission unit 512.

  The communication control unit 501 controls communication with the power demand condition providing server group 360, the OCCTO (wide area organization) 350, the JEPX 340, and other power sources 330 including a consignor via the network 370. Also, the communication control unit 501 controls communication with the PPS that has made a support contract. The consumer information / consignment contract information acquisition unit 502 obtains information on a contracted power consumer from the PPS and information on other power sources including the contractor contracted by the PPS to obtain a demand prediction database 541. Hold on. The demand condition information acquisition unit 503 acquires information affecting the power demand including weather information from the power demand condition providing server group 360 and the like.

  The demand prediction database 541 stores information on the power consumers contracted from the PPS and information on other power sources including the consignment contractor contracted by the PPS in association with each PPS. The demand prediction database 541 stores a forward propagation type neural network algorithm for predicting power demand and appropriate parameters thereof. Further, the demand prediction database 541 associates a history of predicted power demand and a result of power demand with each power consumer of each PPS as information serving as an explanatory variable of power demand prediction by a forward propagation type neural network. Store. Note that the data stored in the demand prediction database 541 is not limited to the above data. The demand prediction unit 505 calculates the power demand forecast amount of each frame of each power consumer who contracts with each support PPS using a forward propagation type neural network, and 48 frames on the next day or frames after 1 hour before. , The predicted amount of power demand of all power consumers who contract with each support PPS is obtained and output to the position generation unit 506.

  The optimal position calculation database 542 stores power generation information and power transmission information that can be acquired from JEPX or a wide-area organization, power prices, power supply / demand history, and the like, which are input information for optimal position calculation. The optimal position calculation database 542 stores a linear programming algorithm for calculating the optimal position and appropriate parameters thereof. The position generation unit 506 obtains the optimum position in each support PPS for the 48 frames of the next day or the frames after one hour using the linear programming method, and outputs them to the JEPX bid control unit 507.

  The JEPX bidding database 543 includes information related to JEPX, bidding procedures and bidding formats (CSV file format) including communication protocols for bidding on JEPX one day or one hour before bidding, and bidding information and contracts. Stores the history and the like associated with the result. Further, the JEPX bidding database 543 stores the optimum position information calculated one day before and one hour before each PPS. The JEPX bid control unit 507 generates bid information of a bid style to be used for a one-day or one-hour bid to JEPX based on the optimum position in each support PPS, and controls the one-day or one-hour bid. To do.

  The notification database 544 includes information related to the regional organization, a notification procedure including a communication protocol and a notification format (XML file format) for notifying the regional organization of the demand procurement plan for one day ago or the demand procurement plan for one hour ago. ) And a history of notification information. Further, the notification database 544 stores bid information and contract information for JEPX one day before and one hour before each PPS, and procurement information from other power sources. Further, the notification database 544 stores a contact procedure and a communication mode for other power sources. The wide-area organization notification generation unit 508 generates notification information for one day or one hour ago according to the notification format from the notification database 544. The wide area notification transmission unit 509 transmits the notification information to the wide area engine generated by the wide area notification generation unit 508 according to the communication protocol from the notification database 544.

  The other power information acquisition unit 510 acquires power generation information and price information from other power sources. If power generation information and price information from other power sources can be acquired from JEPX or a wide-area organization, they may be acquired from JEPX or a wide-area organization. The other power supply contact generation unit 511 generates the contact information for one day or one hour ago according to the contact form from the notification database 544. The other power supply communication transmission unit 512 transmits the contact information to the other power source generated by the other power supply communication generation unit 511 according to the communication protocol from the notification database 544.

  When the demand procurement plan is communicated to other power sources through the wide area organization, the other power source contact generation unit 511 and the other power source communication transmission unit 512 are the wide area engine notification generation unit 508 and the wide area engine notification transmission unit. 509.

(data flow)
FIG. 5B is a diagram illustrating a data flow of the power demand procurement support server 310 as the information processing apparatus according to the present embodiment.

  FIG. 5B shows the relationship between each master information, registration information, and each process for realizing the process of the present embodiment of the power demand procurement support server 310. Among these, the processes particularly related in the present embodiment are the simultaneous colleague monitoring process 530, the schedule management process 540, the demand prediction process 550, the user management process 560, and the system management based on the power demand procurement support process 520. Processing 570. In the present embodiment, these series of processes are automatically performed without human operation, and the prompt and accurate power demand procurement management of the contracted PPS is supported.

《Functional structure of demand forecasting unit》
FIG. 6A is a block diagram illustrating a functional configuration of the demand prediction unit 505 according to the present embodiment.

  The demand prediction unit 505 includes a consumer information acquisition unit 601, an explanatory variable acquisition unit 602, a prediction parameter acquisition unit 603, a demand prediction calculation unit 604, a demand prediction output unit 605, a demand prediction evaluation unit 606, a prediction A parameter update unit 607.

  The consumer information acquisition unit 601 acquires information on each power consumer that makes a contract with each PPS. The explanatory variable acquisition unit 602 acquires an explanatory variable used for the power demand prediction amount calculation of the demand prediction calculation unit 604. The prediction parameter acquisition unit 603 acquires a prediction parameter including a weight value used for calculation of a demand prediction amount stored in the demand prediction database 541. The demand prediction calculation unit 604 is composed of a forward propagation type neural network, and calculates a power demand prediction amount of 30 minutes per frame using explanatory variables and prediction parameters corresponding to each power consumer. The demand forecast output unit 605 collects the power demand forecast amount of each power consumer calculated by the demand forecast calculation unit 604 for all power consumers who contract with each PPS, and generates a position demand unit 506 as the power demand forecast amount of each PPS. Output to. The demand prediction evaluation unit 606 compares the power demand prediction amount predicted by the demand prediction calculation unit 604 with the actual power demand amount, evaluates the power demand prediction result, and analyzes the cause of the difference. The prediction parameter update unit 607 updates the parameter including the weight value of the demand prediction based on the evaluation of the power demand prediction result.

(Demand forecast database)
FIG. 6B is a diagram showing a configuration of the demand prediction database 541 according to the present embodiment. The configuration of the demand prediction database 541 is not limited to FIG. 6B.

  The demand prediction database 541 includes a demand prediction algorithm 604a, explanatory variable storage units 730 to 760, a demand prediction parameter 770, and a demand prediction history 780. The demand prediction algorithm 604a is an algorithm used by the demand prediction calculation unit 604 of the present embodiment for demand prediction. The explanatory variable storage units 730 to 760 are information groups that become input data in the demand prediction algorithm 604a. The demand prediction parameter 770 is a parameter used in the demand prediction algorithm 604a. The demand prediction history 780 is a history for learning the demand prediction by associating and storing the demand prediction result and the actual value. The explanatory variable storage units 730 to 760 and the demand prediction parameters 770 are stored in units of consumers. The demand prediction history 780 may be accumulated for each consumer attribute or may be accumulated for each consumer attribute.

(Demand forecast calculation part)
FIG. 7A is a diagram illustrating a configuration of the demand prediction calculation unit 604 according to the present embodiment. The demand prediction calculation unit 604 of the present embodiment is composed of a forward propagation type neural network. Such a forward propagation type neural network has a structure in which units arranged in layers are coupled only between adjacent layers, and information propagates only in one direction from the input side to the output side. In this embodiment, after receiving explanatory variables such as past actual values, weather information, holidays, days of the week, and time flags as input and performing preprocessing, one output (predicted value of demand) is obtained through a neural network learning model. ) Is calculated.

  The demand prediction calculation unit 604 normalizes 712 the input x711 that is a large number of explanatory variables, multiplies the hidden layer 713 consisting of 20 layers by the weight finding ω, and adds the bias b to the activation function using the variable u as a variable. The output z is obtained by f (u) = z. In the output layer 714, such z is input, and a value z ′ obtained by multiplying the weight ω ′ and adding the bias b ′ is denormalized 715 to obtain an output y. As the operating condition 720 of the forward propagation type neural network, a Levenberg-Marquardt method (hereinafter also referred to as LM) is used as a learning algorithm, and a square error is used as an error function. The Levenberg-Marquardt method is a combined algorithm of the Gauss-Newton method and the steepest descent method. If the Gauss-Newton method does not go well, the algorithm will have both stability and speed, with the steepest descent method decreasing the value slowly and surely, and when the solution is likely to approach, the Gauss-Newton method will reach a stop point at once. Is

  If training data contains bias, it can interfere with learning. As shown in FIG. 7A, the normalization 712 performs preprocessing for converting training data that eliminates the bias. In the sample after performing two transformations by normalization 712, the average of each component is 0 and the variance is 1. In this way, the learning model affects each explanatory variable equally. As shown in FIG. 7A, the hidden layer 713 receives 1 inputs, calculates the total inputs received by n units, and adds all the inputs multiplied by different weights ω1, ω2,. Then, a value bn called a bias is added to this. The output z of the hidden layer 713 is an output of a function f () called an activation function for the total input u. The activation function f () used is called Tan-Sigmoid function. In the output layer 714, as shown in FIG. 7A, n outputs zl from the hidden layer 713 are received, and one output z 'is calculated. Finally, an output y (demand predicted value) is obtained by performing denormalization 715 on z ′.

  The forward propagation type neural network of FIG. 7A outputs a predicted power demand based on explanatory variables and parameters for each power consumer. The demand prediction calculation unit 604 is not limited to a forward propagation type neural network. In general, the estimation accuracy can be improved by combining a plurality of different neural networks. In this embodiment, first, ten neural networks are constructed, the same inputs are given to the ten neural networks, and the average of the ten outputs thus obtained is used as an answer. This is called model averaging and has greatly improved the stability and accuracy of the predicted values.

  FIG. 7B is a diagram showing an explanatory variable 730 used in the demand prediction calculation unit 604 according to the present embodiment. The explanatory variable 730 is input to the forward propagation type neural network as each input x711 in FIG. 7A.

  The explanatory variable 730 in FIG. 7B is associated with the explanatory variable ID 731, for example, the explanatory variable 732 for power demand prediction 30 hours ago, the explanatory variable 733 for power demand prediction 19 hours ago, It has an explanatory variable 734 for power demand prediction and an influence 735 on the prediction of the explanatory variable in the demand prediction calculation.

  The explanatory variable 730 in FIG. 7B includes time and day of the week as information related to the target date and time of power demand prediction. In addition, the temperature, weather, and discomfort index are included as the weather forecast information for the target date and time. Moreover, the actual result information of each electric power consumer on the same day as the target date and time includes the actual value at the same time last week, the previous week and three weeks ago, the actual value at the same time the previous day, and the average actual value of 48 frames. . Moreover, the average performance value of 4 frames 1 hour ago is included as the demand performance information of each power consumer immediately before the target date and time. The explanatory variable may be further different depending on how many hours before the predicted frame. Among these explanatory variables, in particular, actual values at the same time last week, last week, and three weeks ago have a large influence on the prediction in the demand forecast calculation. The reason is that three weeks are assumed to be one standard for seasonal variation. These are individually or averaged and weighted to be input to the forward propagation type neural network of FIG. 7A.

  In the three examples of FIG. 7B, the power demand forecast amount by the explanatory variable 733 for power demand prediction 19 hours ago is used for the JEPX spot bidding one day ago, and the power by the explanatory variable 734 for power demand forecast 90 minutes ago. The demand forecast amount is used for JEPX real-time bidding one hour ago. As the time for calculating the optimal position and the preparation time for bidding for JEPX and the execution time for bidding become shorter, the power demand forecast amount with a larger amount of actual demand information at a time closer to the bidding time is calculated. It becomes possible.

  FIG. 7C is a diagram showing other explanatory variables 740 and 750 used in the demand prediction calculation unit 604 according to the present embodiment. The other explanatory variables 740 and 750 are input to the forward propagation type neural network as the respective inputs x711 in FIG. 7A to increase the prediction accuracy of the power demand prediction amount.

  The explanatory variable 740 includes a consumer attribute 742, a power demand history 743, and a demand trend 744 in association with the power consumer ID 741 as demand trends of each power consumer based on the demand history. Here, the consumer attribute 742 includes environmental information including whether the power consumer is a group or an individual, and local information of the power consumer. Further, the demand trend 744 indicates whether the electric power consumer is a morning type, a day type, or a night type, or more specifically, what time is an electric power use time and what time is an electric power non-use time, or a factory or an apartment, etc. It contains information such as whether it is a large power consumer or a small power consumer at each household.

  The explanatory variable 750 includes the content 752 of the explanatory variable and the degree of influence 753 on the prediction associated with the explanatory variable ID 751. For example, the contents 752 of the explanatory variable include the seasonal variation index by customer, the power consumption growth rate by customer, the power usage plan by customer, the power consumption information by device, the heat information by device, and the individual device by analyzing the consumption current waveform. Power consumption information, power consumption information by distribution board, power consumption information by breaker, customer facility temperature, customer facility humidity, customer facility discomfort index, customer facility illuminance, customer facility gas meter information, demand This includes the number of people going to work, the day of the customer's negawatt execution, and the day when the customer saved power by controlling the equipment according to the demands of the power company. Among these explanatory variables, the power usage plan for each consumer has a large influence on the forecast in the demand forecast calculation. If it can be obtained from the consumer, the weight is increased and input to the forward propagation type neural network of FIG. 7A.

  FIG. 7D is a diagram showing a storage configuration 760 for explanatory variables in the demand prediction database 541 used in the demand prediction calculation unit 604 according to this embodiment.

  Each piece of information including explanatory variables is stored or accumulated in the demand prediction database 541 in the form of a storage configuration 760. Since each explanatory variable overlaps with FIG. 7A, the description is omitted.

  FIG. 7E is a diagram showing parameters 770 used in the demand prediction calculation unit 604 according to the present embodiment. The parameter 770 is each parameter used in the forward propagation type neural network, and is stored or accumulated in the demand prediction database 541.

  The parameter 770 stores a power consumer ID 772 contracted with each PPS in association with the PPS ID 771. Then, a neural network parameter 773, an LM parameter 774, and an error function parameter 775 are stored in association with each power consumer ID 772.

  FIG. 7F is a diagram showing output information 780 from the demand prediction calculation unit 604 according to the present embodiment. This output information is used for optimal position calculation and JEPX bidding.

  The output information 780 stores a power consumer ID 782 contracted with each PPS in association with the PPS ID 781. Then, the predicted power demand amount 483 of 48 frames the next day and the predicted power demand amount 784 one hour after that day are stored in association with each power consumer ID. You may memorize | store the electric power demand forecast amount after 1 hour after that day.

  FIG. 7G is a diagram illustrating another configuration of the demand prediction calculation unit 604 according to the present embodiment. In FIG. 7G, the same components as those in FIG. 7A are denoted by the same reference numerals, and redundant description is omitted.

  In FIG. 7G, as data preprocessing, dummy 797 is arranged before normalization 712 in FIG. 7A, and structured 798 is arranged after normalization 712. The activation function f () in the hidden layer 793 uses the ramp function RelU as shown in FIG. 7G, and Adam (Adaptive Moment Estimation) is used as the optimization algorithm.

  In the dummy 797, quantitative variables among the explanatory variables are used as they are, and qualitative variables are changed to dummy variables, so that prediction by multiple regression analysis is possible even when these variables are mixed. In this example, since the holiday / day of the week / time flags are qualitative variables, pre-processing for converting them into dummy variables is performed. For example, since the original data of the explanatory variable “day of the week” is a number from 1 to 7, and the day of the week is a qualitative variable, the numbers from 1 to 7 are dummy-converted as shown in FIG. 7G. The input data in this example is roughly divided into three types of explanatory variables: past performance values, weather information, and holiday / day of the week / time flags. The structured data 798 divides these input data into factor groups before learning. Then, when learning is performed later, structured input is fitted for each group, and finally merged in the output layer 714. By doing so, not only the learning effect can be confirmed for each group, but also the prediction system can be improved by functions such as “superposition energy function method”, “structure learning with forgetting”, and “compact structuring method”.

<Functional configuration of position generator>
FIG. 8A is a block diagram illustrating a functional configuration of the position generation unit 506 according to the present embodiment.

  The position generation unit 506 includes a demand prediction amount acquisition unit 801, a position calculation unit 802, a dispatch power information acquisition unit 803, a contract history information acquisition unit 804, and a contract prediction unit 805. Further, the position generation unit 506 includes an other power source information acquisition unit 806, a position calculation parameter acquisition unit 807, a position output unit 808, and a position evaluation change unit 809.

  The demand prediction amount acquisition unit 801 acquires the power demand prediction amount of each support PPS predicted by the demand prediction unit 505 from the demand prediction unit 505. The position calculation unit 802 calculates the optimal combination of power procurement that stabilizes the procurement power while reducing the procurement price to the lowest price using the linear programming method based on the predicted power demand of each support PPS. The dispatch power information acquisition unit 803 acquires power generation information and power transmission / distribution information for position calculation from the wide area engine 350 or the like. The contract history information acquisition unit 804 acquires the contract history in JEPX directly from JEPX or from the optimal position calculation database 542. The contract prediction unit 805 performs contract prediction from the contract history in JEPX, and outputs it to the position calculation unit 802 for position calculation. Note that the contract prediction may be, for example, a contract result that has been confirmed immediately before, a contract history at the same time, or an average value of contract results. In the present embodiment, for example, the average value of the contract results for the last five days considering holidays and holidays is used as the contract prediction value, but the present invention is not limited to this. An appropriate predicted contract value can be obtained by learning based on the history of execution results.

  The other power source information acquisition unit 806 acquires information on other power sources from the wide area engine or the optimum position calculation database 542 and outputs the information to the position calculation unit 802 for position calculation. The position calculation parameter acquisition unit 807 acquires parameters used in the linear programming method of the position calculation unit 802 and outputs the parameters to the position calculation unit 802 for position calculation. The position output unit 808 outputs the position calculated by the position calculation unit 802 to the JEPX bid control unit 507. The position evaluation change unit 809 obtains the execution result from the JEPX bid control unit 507, evaluates the position calculation in comparison with the calculated position, and changes the position calculation if necessary. The change in position calculation can be realized by changing a parameter, for example.

(Position calculation database)
FIG. 8B is a diagram showing a configuration of the position calculation database 542 according to the present embodiment. The configuration of the position calculation database 542 is not limited to FIG. 8B.

  The position calculation database 542 includes a position calculation algorithm 802a, an input variable storage unit 810, a position calculation parameter 820, and a position calculation history 920. The input variable storage unit 810 and the position calculation parameter 820 constitute input information and input parameters 910 to the position calculation unit 802 using the position calculation algorithm 802a. The position calculation algorithm 802a is an algorithm used by the position calculation unit 802 of this embodiment for position calculation. Input information and input parameters 910 are an information group and parameters including the power demand forecast amount of each support PPS, which are input data in the position calculation algorithm 802a. Note that the input information and input parameters 910 include information on unit prices previously contracted with JBU and other power suppliers, information determined by the information processing apparatus of this embodiment for each consumer, and JEPX, JBU, Information calculated based on information from other power suppliers and wide-area organizations. For example, the contract unit price of JEPX, etc. is input by calculating a contract predicted value from the history of contract results. The position calculation history 920 is a history for learning position calculation by associating and accumulating position calculation results and actual values. Note that the input information and the input parameters 910 may be stored for each support PPS unit or may be stored collectively for each support PPS attribute. Further, the position calculation history 920 may be accumulated for each support PPS, or may be accumulated for each support PPS attribute.

(Position calculation part)
FIG. 9A is a block diagram illustrating a functional configuration of the position calculation unit 802 according to the present embodiment.

  The position calculation unit 802 includes an input data reception unit 901 and a position calculation unit 902. The input data receiving unit 901 receives input data necessary for position calculation for power procurement by the position calculating unit 902. The input data includes demand forecast amount, dispatch power information, other power source information, contract forecast information, and the like. The position calculation unit 902 calculates a power procurement position using linear programming. The position calculation unit 902 calculates the position using the position calculation parameter acquired from the optimal position calculation database 542 or the position calculation parameter adjustment from the position evaluation change unit 809, and the calculation result is sent to the position output unit 808. Send.

  FIG. 9B is a diagram showing input information and input parameters 910 of the position calculation unit 802 according to the present embodiment.

  FIG. 9B shows the unit price, purchase unit, maximum power amount, and minimum power amount as input information. Here, the unit price is a unit price of 1 kw for JBU and other power sources. The purchase unit is a minimum unit that can be purchased, and is 500 kw unit in the spot market of JEPX and 100 kw unit in the market before time. JBU and other power sources, and purchase units in the case of insufficient imbalance and surplus imbalance are also included. The maximum power amount is the maximum power amount that can be purchased, and is set by the same item as the purchase unit. The minimum electric energy is the minimum electric energy that can be purchased, and is set with the same items as the purchase unit and the maximum electric energy.

  FIG. 9B shows the loss rate, the coefficient β, and the number of pre-hour trading buyers as input parameters. Further, FIG. 9B shows a plan kw (including loss rate) in which the demand forecast amount predicted by the demand forecasting unit 505 is summarized for each support PPS unit, and a JEPX contract history accumulated in the position calculation history 920. The predicted unit price predicted from, the upper limit value α1 and the lower limit value α2 of the contracted predicted price are shown. The coefficients α1, α2, and β are adjustment values for calculating the imbalance fee. α1 and α2 are adjustment values according to the supply and demand situation of the entire power system nationwide, and the upper limit α1 is the upper limit ratio of the predicted contract price to the previous day's spot market contract price, and the lower limit α2 is the spot market contract the previous day. This is the lower limit ratio of the predicted contract price to the price. Β is an adjustment value that reflects the level difference in supply and demand adjustment costs for each region, and is represented by, for example, {(annual average demand adjustment cost of the area) − (annual average annual demand adjustment cost)}. It is.

  FIG. 9C is a diagram showing input / output information of the position calculation unit 802 according to the present embodiment. FIG. 9C is also an example of information stored in the position calculation history 920.

  FIG. 9C shows, as input information, the planned power amount (planned kw in the figure) of each frame and predicted prices and fixed prices over 48 frames. If the item to be purchased is determined by the frame, the amount of power is input.

  In FIG. 9C, as output information of the calculation result by position calculation, the procurement price 921 (the price in bold in the figure) adjusted to the minimum value of each frame over 48 frames, and the position 922 (see FIG. Middle, thick frame position).

  Note that the procurement price 921 actually takes into account the selling price due to surplus imbalance. 9C shows 48 frames of input / output information as the position calculation result one day before, the position calculation result one hour ago may include output information of one frame or more after one hour.

《Functional configuration of JEPX bid control unit》
FIG. 10A is a block diagram illustrating a functional configuration of the JEPX bid control unit 507 according to the present embodiment.

  The JEPX bid control unit 507 includes a position acquisition unit 1001, a bid format acquisition unit 1002, a one-day previous bid information generation unit 1003, a one-day previous market bid unit 1004, a one-day previous execution acquisition unit 1005, and a contract information notification unit 1006. And comprising. Further, the JEPX bid control unit 507 includes a pre-time bid information generation unit 1007, a pre-time market bidding unit 1008, a pre-time market buying and selling information acquisition unit 1009, and a buying and selling information notification unit 1010.

  The position acquisition unit 1001 acquires the position calculation result for each PPS from the position generation unit 506. The bid form acquisition unit 1002 acquires a bid form from the JEPX bid database 543 to JEPX. The one-day-old bid information generation unit 1003 generates bid information for the 48-day previous market based on the position information in accordance with the bid format one day ago. The one-day-old market bidding unit 1004 performs online bidding using the input information generated by the one-day-old bid information generating unit 1003 in accordance with the JEPX communication protocol. The one-day-old contract acquisition unit 1005 receives a result of the contract in the one-day-old market according to the JEPX communication protocol. The contract information notification unit 1006 notifies the wide-area organization notification generation unit 508 and the other power supply contact generation unit 511 of the contract result acquired by the contract acquisition unit 1005 one day ago.

  The pre-time bid information generation unit 1007 generates bid information for at least one frame before the time market after one hour based on the position information in accordance with the bidding format before time. The pre-time market bidding unit 1008 performs online bidding using the input information generated by the pre-time bidding information generation unit 1007 according to the JEPX communication protocol. The pre-time market trading information acquisition unit 1009 receives a contract result in the pre-time market according to the JEPX communication protocol. The trading information notification unit 1010 notifies the wide-area agency notification generation unit 508 and the other power supply contact generation unit 511 of the trading information of the contract result acquired by the pre-time market trading information acquisition unit 1009.

  The one-day-old market bidding unit 1004 has bid information 1004a for the one-day-old market bidding style, and the one-day-old contract acquisition unit 1005 has contract information 1005a for the one-day-old market contract notification style. The pre-time market bidding style bid information 1008a is included, and the pre-time market trading information acquisition unit 1009 has pre-time market contract notification style contract information 1009a.

(JEPX bidding database)
FIG. 10B is a diagram showing a configuration of the JEPX bidding database 543 according to the present embodiment. The configuration of the JEPX bidding database 543 is not limited to FIG. 10B.

  The JEPX bidding database 543 includes a power wholesale market bidding sequence 1110, 1210, a spot (one day ago) market algorithm 1120, a current day (hour ago) market algorithm 1220, a forward market algorithm 1300, and contract result histories 1004a, 1005a. , 1008a, 1009a. The electric power wholesale market bidding sequence 1110, 1210 is the same as the bidding sequence 1110 for the spot (one day before) on which the information processing apparatus automatically performs bidding processing on JEPX and electric power procurement adjustment processing using the contract result (the day before time) ) Store the bid sequence 1210 to the market. The spot (one day ago) market algorithm 1120 stores the JEPX spot (one day ago) market-bride single-price auction algorithm to implement a bidding sequence 1110 for the spot (one day ago) market. The current (pre-hour) market algorithm 1220 stores a JEPX current (pre-hour) market Zaraba algorithm for implementing a bid sequence 1210 for the current (pre-hour) market. The forward market algorithm 1300 is a market in which weekly products (1 week), monthly products (1 month), and annual products (1 year) are traded in units of all-day (24-hour type) or from 8:00 to 18:00 (daytime type). Stores the algorithm of the Zaraba method. The contract result history 1004a, 1005a, 1008a, 1009a is a history for accumulating the bid history and the contract history in association with each other and learning the bid procedure. The contract result history 1004a, 1005a, 1008a, and 1009a may be accumulated for each support PPS unit or may be accumulated for each support PPS attribute.

(Bid sequence to market one day ago)
FIG. 11A is a diagram showing a bidding sequence 1110 and bidding information 1004a for the one-day-old market in JEPX according to the present embodiment. The one-day-old market bidding unit 1004 sends a bid for the one-day-old market in JEPX to the JEPX according to the JEPX communication protocol using the bid information 1004a generated based on the calculated position information. In this example, the bid information 1004a is one of the calculated position information. However, in JEPX, a maximum of 15 bid information can be input corresponding to each frame of one PPS. It is. Further, the bid price of the bid information 1004a may be set to a price obtained by adding a predetermined amount to the predicted price of the calculated position information, or the bid amount may be increased or decreased according to the bid price.

  In step S1101, the power demand procurement support server 310 transmits registration information of each support PPS to the JEPX 340. In step S1103, JEPX 340 authenticates each PPS and returns an authentication result to the power demand procurement support server 310 if OK. In step S1105, the power demand procurement support server 310 sends 48 pieces of bid information (bid price and procurement power amount) of the next day to the JEPX 340 and performs a bid. In step S1107, JEPX 340 executes a bid process by the blind single price auction method. When the contract is made, JEPX 340 notifies the power demand procurement support server 310 of the contract result (contract unit price and successful bid power amount) in step S1109. In step S1111, the power demand procurement support server 310 that has received the contract result (contract unit price and successful bid power amount) determines, on a frame basis, whether or not it is a successful bid in the procurement result from the market based on the contract result. In step S1113, the power demand procurement support server 310 adjusts so that the amount of power that is insufficient in the procurement result from the market is procured from other power sources including the backup power source. Thereafter, the process proceeds to a notification process to a wide-area organization and a communication process to another power source.

  FIG. 11B is a diagram for explaining a contract price determination method 1120 for a one-day-old market in JEPX according to the present embodiment. In the one-day market (spot market), the contract price and contract quantity are determined by the blind single price auction method.

  That is, bidding is performed in a state where the tender trend of other participants is not disclosed (blind). In addition, the exchange divides and combines all bids into sales after the deadline, and calculates the contract price and quantity at the intersection 1123 of the supply and demand curve ("Sell" quantity-price line 1122 and "buy" quantity-price line 1121). decide. When there are a plurality of intersections, the price is the cheapest price among the intersections, and the quantity is the largest quantity among the intersections. The bidder is a “single price” system that buys and sells at the determined contract price regardless of the bid price, and a bid that is bid at a price lower than the contract price will be sold at the contract price. Buys that are bid at higher prices can be bought at contract prices.

  FIG. 11C is a diagram showing execution information 1005a from the market one day ago in JEPX according to the present embodiment. The one-day-old contract acquisition unit 1005 receives the one-day-old market contract information 1005a in JEPX according to the JEPX communication protocol.

  The contract information 1005a includes a contract result 1130, a spot market transaction result 1140, and a spot market index 1150.

  The 48-frame execution result 1130 received from JEPX corresponding to the bid is associated with 48-frame (time code) 1131, PPS ID 1132, area number 1133, contract successful bid number 1134 in units of 500 kWh, Yen / a contract price 1135 of kWh. Zero is set to the number of contract bids 1134 for frames that could not be awarded.

  Spot market transaction result 1140 is associated with 48 frames (time code) 1142 of date 1141, selling bid amount 1143, buying bid amount 1144, contracted total amount 1145, system price 1146 corresponding to intersection 1123 in the national area, It includes a system price group 1147 corresponding to the intersection 1123 of each area, a price group 1148 that goes before each time, and each avoidable cost group 1149. Among these, the system price group 1147 corresponding to the intersection 1123 of each area is each contract result.

  The spot market index 1150 is associated with the date 1151 in the past 24 hours of power transaction volume (DA-24: Day Ahead 24 hours) 1152, the previous day's power transaction volume (DA-DT: Day Ahead Day Time ( 8: 00-22: 00)) 1153, electricity trading volume at the peak of the previous day (DA-PT: Day Ahead Peak Time (13: 00-16: 00)) 1154, total electricity trading volume (TTV: Total Transaction Volume) 1155.

(Bid to market before time)
FIG. 12A is a diagram showing a bidding sequence 1110 and bidding information 1008a for the pre-time market in JEPX according to the present embodiment. The pre-time market bidding unit 1008 performs bidding on the pre-time market in JEPX based on the execution result of the previous day's bidding and the previous execution price or the procurement price from other power sources, etc. Send to JEPX according to the communication protocol and bid. In the bid information 1008a, selection information for a bid area and an order price and an order quantity for selling or buying at least one frame after one hour can be set.

  In step S1201, the power demand procurement support server 310 transmits registration information of each support PPS to the JEPX 340. In step S1203, JEPX 340 authenticates each PPS and returns an authentication result to the power demand procurement support server 310 if OK. In step S <b> 1205, the power demand procurement support server 310 specifies a frame that requires procurement adjustment to the JEPX 340. In step S1207, JEPX340 notifies the power demand procurement support server 310 of the current input status of the designated frame. The power demand procurement support server 310 checks the input status in the designated frame, and transmits bid information (bid price and procurement power amount) to the JEPX 340 in step S1209 to bid. In step S <b> 1211, a bid process based on the Zaraba method is executed between the power demand procurement support server 310 and the JEPX 340. During this time, the power demand procurement support server 310 determines whether or not to procure from the market based on the bid status notified from JEPX340. When the contract is made, JEPX 340 notifies the power demand procurement support server 310 of the contract result (contract price) in step S1213. In step S1215, the power demand procurement support server 310 that has received the contract result (contract unit price) receives the contract result. Then, in step S1217, the power demand procurement support server 310 adjusts the amount of power from other power sources including the backup power source based on the procurement change from the market. Thereafter, the process proceeds to a notification process to a wide-area organization and a communication process to another power source.

  FIG. 12B is a diagram for explaining a contract price determination method 1220 for the pre-hour market in JEPX according to the present embodiment.

  In the contract price determination method 1220, the market before the time (the market on the day) is traded with the Zaraba, and a bid is made with reference to the market situation for a product (a certain 30-minute time zone) desired to be bought and sold. The contract price is the price previously bid among the bids for sale. After the price conditions are met, confirmation of whether or not consignment related to buying and selling is made to a wide area organization. As a result, the contracted amount is agreed.

  FIG. 12C is a diagram showing execution information 1009a from the market before time in JEPX according to the present embodiment. The pre-time market trading information acquisition unit 1009 receives pre-time market contract information 1009a in JEPX according to the JEPX communication protocol. The pre-hour market execution information 1009a includes execution results 1230, execution information 1240, and execution processing information 1250.

  The bid result 1230 received from JEPX in response to the bid is associated with one frame (time code) 1231, PPS ID 1232, area number 1233, 50kWh contract successful bid number 1234, Yen / and a contract successful bid price 1235 of kWh. Zero is set to the number of contract bids 1234 for frames that could not be awarded.

  The contract information 1240 is associated with the time zone (product frame) 1241, the selling bid amount 1242, the lowest selling price 1243, the highest buying price 1244, the buying bid amount 1245, the latest contract price 1246, and the average contract price. 1247 is stored. Among these, the latest contract price 1246 is the contract result of each frame. In addition, the contract processing information 1250 is associated with 48 frames (time code) 1252 of the date 1251, and the opening price 1253, the high price 1254, the low price 1255, the closing price 1256, the average 1257, the total fixed amount 1258, the number of contracts 1259, Remember.

(Bid for JBU market)
FIG. 13 is a diagram for explaining a contract price determination method 1300 for the JBU market in JEPX according to the present embodiment. Although not shown in the functional configuration of the power demand procurement support server in FIG. 5A, automatic bidding is also performed for the JBU market (forward market). Furthermore, there is a JEPX bulletin board market with small-scale power plants and the like, and this information processing apparatus can perform automatic processing.

  The contract price determination method 1300 of the JBU market is the same as the market on the day (the market before the time), and trades electricity for contracting in the future specified period (1 year, 1 month, 1 week) in Zaraba, and the contract price Is the price previously bid out of the bids for sale. A delivery period of 1 year is called an annual product, a monthly product is called a monthly product, and a weekly product is called a weekly product. As a daily delivery model, it is delivered from 24 hours to 24 hours all day. There is a 24-hour type that is handed over and a daytime type that is delivered only between 8:00 and 18:00 on weekdays, excluding Saturdays, Sundays, and holidays.

《Functional configuration of the regional agency notification generator and other power supply communication generator》
FIG. 14A is a block diagram illustrating a functional configuration of the wide-area organization notification generation unit 508 according to the present embodiment. The wide-area engine notification generation unit 508 is a main configuration characterized by the present invention.

  The wide area agency notification generation unit 508 includes a one-day-old contract result acquisition unit 1411, a one-day-old notification style acquisition unit 1412, and a one-day-old notification generation unit 1413. In addition, the wide-area organization notification generation unit 508 includes a pre-time execution result acquisition unit 1414, a pre-time notification format acquisition unit 1415, and a pre-time notification generation unit 1416.

  The one-day-old contract result acquisition unit 1411 acquires a one-day-old market contract result from the JEPX bid control unit 507. The 1-day advance notification form acquisition unit 1412 acquires the 1-day advance notification form from the notification database 544. The one-day-old notice generation unit 1413 generates a one-day-old notice including the one-day-old market execution result from the one-day-old execution result acquisition unit 1411 and the adjusted procurement amount from other power sources including the BU power source. Output to the engine notification transmitter 509.

  The pre-time execution result acquisition unit 1414 acquires the pre-time execution result from the JEPX bid control unit 507. The pre-time notification style acquisition unit 1415 acquires the pre-time notification style from the notification database 544. The pre-time notification generation unit 1416 generates a pre-time notification including the pre-time market execution result from the pre-time execution result acquisition unit 1414 and the adjusted procurement amount from other power sources including the BU power source. Output to the engine notification transmitter 509.

  Note that a communication protocol for notification of a wide-area organization is notified from the notification database 544 to the wide-area organization notification transmission unit 509.

  FIG. 14B is a block diagram illustrating a functional configuration of the other power supply contact generation unit 511 according to the present embodiment.

  The other power supply contact generation unit 511 includes a one-day previous contract result acquisition unit 1421, a pre-hours contract result acquisition unit 1422, another power supply contact style acquisition unit 1423, and another power supply contact information generation unit 1424.

  The one-day-old contract result acquisition unit 1421 acquires a one-day-old market contract result from the JEPX bid control unit 507. The pre-time execution result acquisition unit 1422 acquires the pre-time execution result from the JEPX bid control unit 507. The other power supply communication style acquisition unit 1423 acquires the other power supply communication style from the notification database 544. The other power supply contact information generation unit 1424 includes contact information including the execution result from the one day previous execution result acquisition unit 1421 or the hourly execution result acquisition unit 1422 and the adjusted procurement amount from other power sources including the BU power supply. It is generated and output to the other power supply communication transmitter 512.

  Note that the communication database for other power supply is notified from the notification database 544 to the other power supply communication transmitting unit 512. In addition, when the wide-area organization contacts other power sources based on the notification information, the other power source contact generating unit 511 is not used.

(Notification database)
FIG. 14C is a diagram showing a configuration of the notification database 544 according to the present embodiment. The configuration of the notification database 544 is not limited to FIG. 14C.

  The notification database 544 includes a regional agency notification sequence 1510, a spot (one day ago) notification format 1520, a current day (hour before) notification format 1530, other power source communication sequence / format 1540, a notification / contact history 1440, Have. The wide area agency notification sequence 1510 stores a sequence including a communication protocol that automatically notifies the demand procurement plan of each supporting PPS to the wide area agency at a designated time one day before or after the time. The spot (one day ago) notification format 1520 stores an algorithm for notifying the regional organization of the demand procurement plan of each supporting PPS after the spot (one day ago) market is executed, and also detects an algorithm for detecting format errors and numerical errors. Store. On the day (before time) notification format 1530, a format for notifying the regional organization of changes in the demand procurement plan of each supporting PPS after the execution of the market on the day (before time) is stored, and format errors and numerical errors are detected. Stores the algorithm. The other power source communication sequence / format 1540 stores a sequence that includes a communication protocol that automatically communicates the demand procurement plan of each supporting PPS to other power sources one day or hour in advance. The other power source communication sequence / format 1540 has a format for notifying the other power sources of the procurement plan of each supporting PPS or its change after the procurement decision from other power sources based on the JEPX execution result. Stores an algorithm for detecting format errors and numerical errors. The notification / contact history 1440 stores a history of demand procurement plan notifications for later periods and procurement plan contacts to other power sources. This notification / contact history 1440 is used for settlement of demand procurement management support to each support PPS as well as to each support PPS.

(Notification sequence)
FIG. 15A is a sequence diagram showing a communication procedure 1510 between the power demand procurement support server 310 and the wide area organization 350 according to this embodiment.

  In FIG. 15A, the power demand procurement support server 310 performs XML according to the format determined by the wide-area organization 350 from the result of bidding on JEPX based on the position calculation based on the predicted power demand amount and the procurement amount from other power sources. Create a message. Then, the XML message is compressed in the ZIP format and notified to the wide area engine 350 according to the communication protocol defined by the wide area engine 350.

(Notification style of wide area organization)
FIG. 15B and FIG. 15C are diagrams showing notification information 1520 one day before the notification style by the wide-area organization according to the present embodiment.

  The notification information 1520 one day before the notification format by the wide-area organization includes data of procurement excess / deficiency, supply amount, transaction plan, multiple procurement plans, and multiple sales plans corresponding to each of the time zones 1531.

  FIG. 15D is a diagram showing notification information 1530 on the day (one hour ago) of the notification style by the wide-area organization according to the present embodiment. In FIG. 15D, the procurement amount before the change is not actually shown, and is shown for reference.

  The notification information 1530 on the day (one hour before) of the notification style by the wide-area organization describes the changed procurement amount as a procurement plan corresponding to each of the time zones 1531. In addition, the same amount of procurement should be described in blanks that are not changed or blank. In FIG. 15D, it is notified that the frames from 14:30 to 15:00 and the frames from 15:00 to 15:30 are changed.

(Contact other power sources)
FIG. 15E is a diagram showing contact information 1540 for another power source according to the present embodiment. Note that FIG. 15E is an example of contact information for other power sources. The format, the contact method, and the protocol vary depending on each power source. In this embodiment, all of them are automatically supported. Is possible.

  The contact information 1540 for other power sources includes identification information 1550 that identifies the contact information and contact data 1560. The identification information 1550 includes a plan name, a liaison office, a contracted power amount in hour units, a plan target date, and the like. Further, the contact data 1560 stores the received amount 1562 of the corresponding date in association with the time 1561 of 48 frames. The received amount 1562 of the corresponding date includes the received amount for one frame (30 minutes), the received amount in hour units, and the result of the contract excess determination. In the example of the other power source business operator, a notification is received from, for example, the case where there is no contract excess, decimal point determination OK, and negative determination OK from the submitting business operator. If there is a reply that has not been received, the information processing apparatus reviews and sends a contact again.

<< Hardware configuration of power demand procurement support server >>
FIG. 16 is a block diagram illustrating a hardware configuration of the power demand procurement support server 310 as the information processing apparatus according to the present embodiment.

  In FIG. 16, a CPU (Central Processing Unit) 1610 is a processor for arithmetic control, and implements the functional components shown in FIG. 5A by executing a program. The CPU 1610 may include a plurality of processors and execute different programs, modules, tasks, threads, and the like in parallel. A ROM (Read Only Memory) 1620 stores fixed data and programs such as initial data and programs. The network interface 1630 controls communication with PPS, JEPX, a wide area organization, or the like to be supported via the network.

  A RAM (Random Access Memory) 1640 is a random access memory used by the CPU 1610 as a work area for temporary storage. The RAM 1640 has an area for storing data necessary for realizing the present embodiment. The demand prediction data 1641 is data for demand prediction such as explanatory variables and parameters. The predicted power demand 1642 is a predicted amount of power demand 48 hours or one hour later for each power consumer predicted using a forward propagation neural network based on the demand prediction data 1641. The predicted power amount of each power consumer is added to all the power consumers contracted with PPS, and the predicted amount of power demand after 48 frames or one hour after each PPS is obtained. The position calculation data 1643 is data for calculating an appropriate power procurement position from JEPX and other power sources such as a contract history and other power source information in addition to the predicted power demand. The position calculation result 1644 is position information for appropriate power procurement from JEPX and other power sources calculated by linear programming based on the position calculation data 1643. The JEPX bidding data 1645 is data used for JEPX bidding from contract predictions and position information. The JEPX bid data / contract result 1646 is bid data according to a format for automatically bidding online to JEPX, and a contract result notified from JEPX. The notification generation data 1647 is data for automatic transmission on-line in various formats to a wide-area organization or to another power source. The notification data / reception notice 1648 is data automatically transmitted to a wide area engine or another power source, and a receipt notice from the wide area engine or another power source. In addition, if the system configuration is such that the wide-area organization acts as a proxy for other power sources, only transmission data to the wide-area organization is sufficient.

  The storage 1650 stores a database, various parameters, or the following data or programs necessary for realizing the present embodiment. The demand prediction database 541 stores calculation algorithms for predicting power demand, data serving as explanatory variables necessary for power demand prediction, or history, parameters, history of prediction results, and the like. The optimum position calculation database 542 stores a position calculation algorithm for appropriate power procurement, input data necessary for position calculation, or history, parameters, history of position calculation results, and the like. The JEPX bidding database 543 stores a bidding procedure for bidding on JEPX, a format necessary for bidding, input data, or a history, parameters, a history of contract results, and the like. The notification database 544 includes a procedure for notification (contact) of power demand procurement to wide-area organizations and other power sources, a format required for notification (contact), input data, or history, parameters, notification results, etc. Stores history etc.

  The storage 1650 stores the following programs. The electric power demand procurement support program 1651 is a series of programs that support or act on behalf of appropriately executing the electric power supply to the electric power consumer contracted by the PPS. The demand prediction module 1652 is a module for predicting the power demand of each power consumer contracted by the PPS after 48 hours on the next day or one hour after that day. The position generation module 1653 uses the forecast of the total power demand for all PPS contracted PPSs, 48 hours the next day, or 1 hour after that day to predict the power demand. This module generates power procurement positions. The power procurement module 1654 is a module for automatically adjusting power procurement including bidding for JEPX with reference to the generated position. The notification generation module 1655 is a module for automatically notifying (contacting) a wide area organization or another power source of setting or confirming power demand and power procurement.

  Note that the RAM 1640 and storage 1650 in FIG. 16 do not show programs and data related to general-purpose functions and other realizable functions of the power demand procurement support server 310.

<< Processing procedure of power demand procurement support server >>
FIG. 17A is a flowchart illustrating a processing procedure of the power demand procurement support server 310 as the information processing apparatus according to the present embodiment. This flowchart is executed by the CPU 1610 of FIG. 16 using the RAM 1640, and implements the functional component of FIG. 5A. Note that FIG. 17A is configured such that each module can be independently executed in parallel for a plurality of PPSs.

  In step S1711, the power demand procurement support server 310 determines whether a demand prediction request has been made. When there is a demand prediction request, the power demand procurement support server 310 acquires an identifier (ID) of the corresponding PPS in step S1713. In step S1715, the power demand procurement support server 310 executes a demand prediction process. In step S <b> 1717, the power demand procurement support server 310 stores the demand prediction result in the optimum position calculation database 542 for use in subsequent position generation.

  When there is no demand prediction request, the power demand procurement support server 310 determines whether or not a position generation request has been made in step S1721. If there is a request for position generation, the power demand procurement support server 310 acquires the identifier (ID) of the corresponding PPS in step S1723. In step S1725, the power demand procurement support server 310 performs position generation processing. In step S1727, the power demand procurement support server 310 stores the position generation result in the JEPX bidding database 543 for use in subsequent power procurement, in particular, for JEPX bidding.

  If there is neither a demand prediction request nor a position generation request, the power demand procurement support server 310 determines in step S1731 whether there is a power procurement request. If there is a request for power procurement, the power demand procurement support server 310 acquires the corresponding PPS identifier (ID) in step S1733. In step S1735, the power demand procurement support server 310 executes power procurement processing including JEPX bidding. In step S 1737, the power demand procurement support server 310 stores the power procurement result including the contract information in the notification database 544 for use in subsequent notifications (contacts) to the wide-area organizations and other power sources.

  If there is no demand prediction request, position generation request, or power procurement request, the power demand procurement support server 310 determines in step S1741 whether a notification transmission request has been made. If there is a request for notification transmission, the power demand procurement support server 310 acquires the corresponding PPS identifier (ID) in step S1743. In step S1745, the power demand procurement support server 310 executes a notification generation process. In step S1747, the power demand procurement support server 310 transmits the generated notification to the wide-area organization and other power sources.

  Requests for each processing are automatically requested and executed for the one-day-old market at a timing in time for JEPX's one-day bid up to 10:00 on the previous day. Is automatically requested and executed in time for the JEPX bidding on the day of JEPX one hour later. Similar automatic bidding is executed at a desired timing in the forward market and the bulletin board market.

  FIG. 17B is a flowchart illustrating another processing procedure of the power demand procurement support server 310 as the information processing apparatus according to the present embodiment. Note that FIG. 17B is configured such that a virtual management server is generated for each PPS of a plurality of PPSs, and each virtual management server can execute support processing for each PPS independently and in parallel.

  In step S1751, the power demand procurement support server 310 waits for a request for power demand procurement support. When there is a request for power demand procurement support, the power demand procurement support server 310 acquires an identifier (ID) of one contracted PPS in step S1753. In step S1755, the power demand procurement support server 310 generates a virtual management server in the power demand procurement support server 310 corresponding to the identifier (ID) of the PPS. In step S1751, the power demand procurement support server 310 waits for a request for power demand procurement support.

  In the virtual management server generated in step S1755, the following processing is executed independently for the corresponding identifier PPS. In step S1715, the virtual management server executes a demand prediction process similar to that in FIG. 17A. In step S1725, the virtual management server executes position generation processing similar to that in FIG. 17A. In step S1735, the virtual management server executes the same power procurement process as in FIG. 17A. In step S1745, the virtual management server executes a notification generation process similar to that in FIG. 17A. Then, in step S1747, the virtual management server performs notification transmission processing to a wide area engine or another power source, and releases the virtual management server in step S1749.

  In addition, the request for power supply procurement support is automatically requested and executed at the timing of 1 day before JEPX's one day previous bid until 10:00 on the previous day, and the one day previous market (current day market) On the other hand, it is automatically requested and executed at a timing in time for the same day bid of JEPX after one hour. Similar automatic bidding is executed at a desired timing in the forward market and the bulletin board market.

(Demand forecast processing)
FIG. 18 is a flowchart showing the procedure of the demand prediction process (S1715) according to this embodiment.

  In step S1801, the power demand procurement support server 310 determines whether the demand prediction is for one day ago or one hour ago. If it is for one day before, the power demand procurement support server 310 acquires the parameter for the next day demand prediction in step S1811. In step S <b> 1813, the power demand procurement support server 310 acquires an explanatory variable for demand prediction for one frame on the next day of one power consumer. In step S1815, the power demand procurement support server 310 operates a forward propagation type neural network to calculate a demand prediction amount for one frame on the next day of one power consumer.

  In step S <b> 1817, the power demand procurement support server 310 determines whether the calculation of the demand forecast amount for 48 frames has been completed. If the calculation of 48 frames has not been completed, the power demand procurement support server 310 returns to step S1813 and calculates a demand prediction for the next frame. If the calculation of 48 frames is completed, the power demand procurement support server 310 outputs the demand forecast amount of 48 frames on the next day for one power consumer in step S1819.

  In step S <b> 1819, the power demand procurement support server 310 determines whether or not the calculation of the demand forecast amount has been completed for all the power consumers contracted with the PPS. If the calculation of the demand forecast amount has not been completed for all the power consumers, the power demand procurement support server 310 returns to step S1813 and calculates the demand forecast from one frame for the next power consumer. If the calculation of the demand forecast amount has been completed for all power consumers, the power demand procurement support server 310 calculates the total demand forecast amount of all the consumers who have contracted with the PPS of 48 frames the next day in step S1823. After calculating, the demand prediction process is terminated and the process returns.

  On the other hand, if the determination in step S1801 is for one hour ago, the power demand procurement support server 310 acquires the parameter for demand prediction after one hour in step S1831. In step S1833, the power demand procurement support server 310 acquires explanatory variables for demand prediction after one hour. In step S <b> 1835, the power demand procurement support server 310 operates a forward propagation type neural network to calculate a demand forecast amount after one hour of one power consumer. In step S <b> 1837, the power demand procurement support server 310 outputs a demand forecast amount after one hour for one power consumer.

  In step S1839, the power demand procurement support server 310 determines whether or not the calculation of the predicted amount of demand after one hour has been completed for all the power consumers who have contracted with the PPS. If the calculation of the demand forecast amount has not been completed for all the power consumers, the power demand procurement support server 310 returns to step S1833 and calculates the demand forecast after one hour for the next power consumer. If the calculation of the demand forecast amount has been completed for all the power consumers, the power demand procurement support server 310 calculates the total demand forecast amount of all the customers contracted with the PPS after one hour in step S1841. After calculating, the demand prediction process is terminated and the process returns.

(Position generation processing)
FIG. 19 is a flowchart showing a procedure of position generation processing (S1725) according to the present embodiment.

  In step S1901, the power demand procurement support server 310 determines whether the demand prediction is for one day or one hour before. If it is for one day before, in step S1911, the power demand procurement support server 310 acquires the total demand forecast amount for one frame of the next day in one PPS. In step S1913, the power demand procurement support server 310 acquires power procurement conditions such as a unit price and a purchase unit, a contract prediction, a contract history, and the like. In step S1915, the power demand procurement support server 310 calculates an optimal position using linear programming. The optimal position data includes price, spot, JBU, and other imbalances.

  In step S1917, the power demand procurement support server 310 determines whether or not position calculation for 48 frames on the next day in one PPS has been completed. If the calculation of 48 frames has not been completed, the power demand procurement support server 310 returns to step S1911 to calculate the position for the next frame. If the calculation of 48 frames is completed, the power demand procurement support server 310 outputs the optimum position of 48 frames on the next day for one PPS in step S1919, ends the position generation process, and returns.

  On the other hand, if the determination in step S1901 is for one hour ago, the power demand procurement support server 310 acquires the total demand forecast amount for one PPS after one hour on that day in step S1921. In step S 1923, the power demand procurement support server 310 acquires power procurement conditions such as a unit price and a purchase unit, a contract prediction, a contract history, and the like. In step S1925, the power demand procurement support server 310 calculates an optimal position using linear programming. The optimal position data includes price, spot, JBU, and other imbalances.

  In step S1927, the power demand procurement support server 310 searches for a change item whose position is to be changed as compared with the demand procurement schedule one day ago, and calculates the change value. In step S1929, the power demand procurement support server 310 outputs the change item to be changed in position and its change value, ends the position generation process, and returns.

(Power procurement processing)
FIG. 20 is a flowchart showing a procedure of power procurement processing (S1735) according to the present embodiment.

  In step S2001, the power demand procurement support server 310 determines whether the bid for power procurement is one day ago or one hour ago. If it is one day ago, the power demand procurement support server 310 acquires a bid form (CSV file format) for one day ago from the JEPX bidding database 543 in step S2011. In step S2013, the power demand procurement support server 310 generates 48 pieces of bid information of one PPS based on the optimum position position of 48 pieces. It should be noted that step S2013 includes necessary calculations and conversions for the optimum position data in order to adapt to the bidding format for one day in advance and to ensure consistency of bid information. In step S2015, the power demand procurement support server 310 checks whether there is an error in the consistency of the bid format and the bid information for the 48-day bid information generated for one PPS on the next day. If there is an error, the power demand procurement support server 310 returns to step S2013 to correct the input information.

  If there is no error, in step S2017, the power demand procurement support server 310 acquires a communication protocol for bidding on the market one day before JEPX from the JEPX bidding database 543. In step S2019, the power demand procurement support server 310 bids the CSV file of the bid information one day ago in the JEPX one-day market according to the JEPX communication protocol.

  In step S2021, the power demand procurement support server 310 waits for a contract in the market one day ago and receives a contract result report. In step S2023, the power demand procurement support server 310 determines power procurement via JEPX based on the received contract result. . In step S2025, the power demand procurement support server 310 adjusts the amount of power procurement from other power sources necessary for the power demand, ends the power procurement process, and returns.

  On the other hand, if it is one hour ago in step S2001, the power demand procurement support server 310 acquires a bid format (CSV file format) for one hour from the JEPX bidding database 543 in step S2031. In step S2033, the power demand procurement support server 310 generates bid information in which the change item and the change value are set in the bid format for one hour ago. It should be noted that step S2033 includes necessary calculations and conversions for the optimum position data in order to adapt to the bidding format for one hour ago and to ensure consistency of the bid information. In step S2035, the power demand procurement support server 310 checks whether there is an error in the consistency of the bid format and the bid information for the bid information generated for one PPS one hour ago. If there is an error, the power demand procurement support server 310 returns to step S2033 and corrects the input information.

  If there is no error, the power demand procurement support server 310 obtains a communication protocol for bidding on the market one hour before JEPX from the JEPX bidding database 543 in step S2037. In step S2039, the power demand procurement support server 310 bids the CSV file of the bid information for one hour ago in the market for the hour before JEPX according to the JEPX communication protocol.

  In step S2041, the power demand procurement support server 310 repeats bidding in the market one hour ago. In addition, while repeating bids, bids are set in consideration of bids of other bidders, prices of other power sources, and the like. When the report of the contract result is received, in step S2043, the power procurement via JEPX is updated based on the received contract result. In step S2045, the power demand procurement support server 310 adjusts the power procurement amount from other power sources necessary for the power demand, ends the power procurement process, and returns.

(Notification transmission processing)
FIG. 21 is a flowchart showing a procedure of notification transmission processing (S1745) according to the present embodiment. Note that FIG. 21 shows a notification process to a wide-area organization, but the illustration and description are omitted because only the manner and transmission method for contacting other power sources are different.

  In step S2101, the power demand procurement support server 310 determines whether the notification transmission is one day ago or one hour ago. If it is one day ago, the power demand procurement support server 310 acquires a one-day notice format (XML file format) from the notice database 544 in step S2111. In step S2113, the power demand procurement support server 310 acquires the determined power demand procurement information from the notification database 544 for the next day. In step S2115, the power demand procurement support server 310 generates notification information for one PPS one day before based on the acquired power demand procurement information. Note that step S2115 includes calculation and conversion necessary for the power demand procurement information in order to conform to the notification format for one day in advance and to ensure consistency of the notification information. In step S2117, the power demand procurement support server 310 checks whether there is an error in the notification format and the consistency of the notification information for the notification information one day before generated for one PPS. If there is an error, the power demand procurement support server 310 returns to step S2113 to correct the notification information.

  If there is no error, the power demand procurement support server 310 acquires from the notification database 544 a communication protocol for notifying the wide area organization of the information one day before in step S2119. Then, in step S2121, the power demand procurement support server 310 compresses the XML file of the notification information one day ago into the ZIP format according to the communication protocol of the wide area organization and transmits it to the wide area organization.

  In step S2123, the power demand procurement support server 310 determines whether or not an error notification is received from the wide area organization. If the error notification is received from the wide area organization, the power demand procurement support server 310 returns to step S2115 and corrects the notification information. If it is a reception notification from the wide area organization, the power demand procurement support server 310 notifies the PPS of the completion of the notification to the wide area organization one day ago in step S2125, reports it to the PPS, ends the notification transmission process, and returns. To do.

  On the other hand, if it is one hour ago in step S2101, the power demand procurement support server 310 obtains the latest notification information from the notification database 544 if there is a notification one day ago or a subsequent update in step S2131. In step S <b> 2133, the power demand procurement support server 310 generates notification information in which the updated item and the change value by the one-hour advance bidding or adjustment of other power sources are updated with respect to the acquired latest notification information. Note that step S2133 includes calculation and conversion necessary for the power demand procurement information in order to adapt to the notification format for one hour and to ensure consistency of the notification information. In step S2135, the power demand procurement support server 310 checks whether there is an error in the notification format and the consistency of the notification information for the notification information generated for one PPS one hour ago. If there is an error, the power demand procurement support server 310 returns to step S2133 and corrects the notification information.

  If there is no error, the power demand procurement support server 310 acquires the communication protocol for notifying the wide area organization of the information one hour ago from the notification database 544 in step S2137. In step S2139, the power demand procurement support server 310 compresses the XML file of the notification information one hour ago into the ZIP format according to the communication protocol of the wide area organization, and transmits it to the wide area organization.

  In step S <b> 2141, the power demand procurement support server 310 determines whether or not an error notification is received from the wide area organization. If the error notification is received from the wide-area organization, the power demand procurement support server 310 returns to step S2133 and corrects the notification information. If it is a receipt notification from the wide area organization, the power demand procurement support server 310 notifies the PPS of the completion of notification to the wide area organization one hour ago in step S2143, and ends the notification transmission process. Return.

  According to this embodiment, by using an appropriate explanatory variable as an explanatory variable of the forward propagation type neural network, it is possible to efficiently increase the prediction accuracy of the power demand, and as a result, the appropriate prediction based on the power demand prediction It is possible to generate an appropriate power procurement position and implement an appropriate power procurement by bidding on JEPX.

[Third Embodiment]
Next, an information processing apparatus according to the third embodiment of the present invention will be described. The information processing apparatus according to the present embodiment differs from the second embodiment in that it supports power demand procurement with a plurality of participating new power companies (PPS) as a group. Since other configurations and operations are the same as those of the second embodiment, the same configurations and operations are denoted by the same reference numerals, and detailed description thereof is omitted.

<< Electric power demand procurement support system >>
FIG. 22 is a block diagram showing a configuration of a power demand procurement support system 2200 including the information processing apparatus according to this embodiment. In FIG. 22, the same components as those in FIG. 3A are denoted by the same reference numerals, and redundant description is omitted.

  The power demand procurement support server 2210 of this embodiment includes a group bid information generation unit 2211, and each PPS to be supported for power demand procurement management is connected to the group bid information generation unit 2211.

《Power demand procurement support server》
FIG. 23A is a block diagram showing a functional configuration of a power demand procurement support server 2210 as an information processing apparatus according to the present embodiment. In FIG. 23A, the same functional components as those in FIG. 5A are denoted by the same reference numerals, and redundant description is omitted.

  The database 2304 further includes a group bidding database 2345 used for group bidding. The demand prediction unit 2305 of all support PPS calculates a demand prediction that summarizes all support PPS supported by the power demand procurement support server 2210 of this embodiment. The position generation unit 2306 of all support PPS generates an optimal position in which all support PPS supported by the power demand procurement support server 2210 of this embodiment is collected. The group bid information generation unit 2211 generates bid information in which a plurality of PPS groups are grouped based on the optimal position generated by the position generation unit 2306 of all support PPSs, and the JEPX bid control unit 507 sets a group as one PPS. As a bid. Then, the execution result is appropriately distributed to the PPS in the group.

(Group bidding database)
FIG. 23B is a diagram showing a configuration of the group bidding database 2345 according to the present embodiment.

  The database for group bidding 2345 includes group registration information 2310 for registering PPS for group bidding and group successful bid result information 2320 for storing group successful bid results. The group registration information 2310 stores a plurality of PPS / IDs 2312 belonging to a group and a power consumer list 2313 contracted with each PPS / ID 2312 in association with the group ID 2311. Group successful bid result information 2320 is associated with 48 frames (time code) 2321, group ID 2322, contract successful bid number 2323 in units of 500 kWh, contract successful bid price 2324 in yen / kWh, and other power supply adjustment (quantity / Price) 2325 is stored. And the procurement result 2326-2327 about each PPS which belongs to a group is memorized. Procurement results 2326 to 2327 include market procurement, other power supply procurement, and procurement amount.

  According to the present embodiment, even when each new power company (PPS) performs wasteful power procurement by purchase unit, waste can be reduced by joint procurement by a plurality of new power companies (PPS). .

[Fourth Embodiment]
Next, an information processing apparatus according to the fourth embodiment of the present invention will be described. Compared with the second embodiment and the third embodiment, the information processing apparatus according to the present embodiment generates a new secondary power market and can adjust demand procurement including a plurality of new power companies to participate in. It is different in that. Since other configurations and operations are the same as those of the second embodiment or the third embodiment, the same configurations and operations are denoted by the same reference numerals, and detailed description thereof is omitted.

<< Electric power demand procurement support system >>
FIG. 24 is a block diagram showing an outline of a power demand procurement support system 2400 including the information processing apparatus according to this embodiment. Note that FIG. 24 illustrates a main part of the power demand procurement support system 2400 according to the present embodiment, and other components illustrated in FIG. 3A are omitted.

  The power demand procurement support system 2400 includes a power demand procurement support server 2410 and a secondary power market 2411 different from JEPX that performs power supply adjustment by a plurality of PPSs including PPS supported by the power demand procurement support server 2410. Prepare. In the secondary power market 2411, in order to match power sources among companies participating in the power market, each PPS's surplus power, shortage power, or negawatt power and storage batteries can be bought and sold in the secondary market. It is realized in parallel with a backup power source (hereinafter also referred to as JBU) and a relative contract power source of each company (PPS).

《Power demand procurement support server》
FIG. 25A is a block diagram showing a functional configuration of a power demand procurement support server 2410 as an information processing apparatus according to this embodiment. In FIG. 25A, the same functional components as those in FIG. 5A are denoted by the same reference numerals, and redundant description is omitted.

  The database 2504 further includes a secondary market database 2546 used for secondary market bidding. The secondary power market unit 2411 buys and sells power between PPS different from JEPX based on procurement from PPS and bidding for sales. The secondary power bidding control unit 2412 generates the secondary power based on the optimal position generated by the position generation unit 506 of each support PPS, including procurement from the secondary power market 2411 and sales to the secondary power market 2411. Bid information for the market 2411 is generated. Note that the optimal position for the secondary power market can be calculated, for example, by inputting surplus power, insufficient power, or negative wattage power, storage battery, etc. to other power sources 1 to 3 in FIGS. 9B and 9C. It becomes.

(Secondary market database)
FIG. 25B is a diagram showing a configuration of the secondary market database 2546 according to the present embodiment.

  The secondary market database 2546 includes secondary market registration information 2510 for registering participants in the secondary market, and secondary market successful bid result information 2520 for storing secondary market successful bid results. The secondary market registration information 2510 stores a participant attribute 2512 and a power consumer list 2513 contracted in the case of PPS in association with a plurality of secondary market participant IDs 2511 participating in the secondary market. The secondary market successful bid result information 2520 is associated with 48 frames (time code) 2521, the contract successful bid number 2522 of 500 kWh in JEPX, the contract successful bid price 2523 of Yen / kWh in JEPX, and transactions in the secondary market. The number of contract successful bids 2524 in units and the contract successful bid price 2525 of yen / kWh in the secondary market are stored. Further, the secondary market successful bid result information 2520 stores other power supply adjustment (amount / price) 2526, the total power procurement amount 2527, and the procurement amount 2528.

  According to the present embodiment, it is possible to reduce redundant and unnecessary power procurement by adjusting the power procurement between the supporting new power companies (PPS) in the secondary power market. In addition, you may take in the electric power sales from power generation sources, such as photovoltaic power generation, in a secondary power market.

[Other Embodiments]
While the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, a system or an apparatus in which different features included in each embodiment are combined in any way is also included in the scope of the present invention.

  In addition, the present invention may be applied to a system composed of a plurality of devices, or may be applied to a single device. Furthermore, the present invention can also be applied to a case where an information processing program that implements the functions of the embodiments is supplied directly or remotely to a system or apparatus. Therefore, in order to realize the functions of the present invention on a computer, a program installed in the computer, a medium storing the program, and a WWW (World Wide Web) server that downloads the program are also included in the scope of the present invention. . In particular, at least a non-transitory computer readable medium storing a program for causing a computer to execute the processing steps included in the above-described embodiments is included in the scope of the present invention.

In order to achieve the above object, an information processing apparatus according to the present invention provides:
A power demand forecasting means for calculating a power demand forecast amount of a new power company;
An electronic bidding means for performing an electronic bidding on the electric power trading market based on the electric power demand forecast amount, and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
Other power procurement means for procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
And forecasted power demand of the previous Symbol new power company, and electricity procurement amount to be raised from the power trading market, the first demand procurement plans, including the procurement amount of power to procure from the other power sources, raised the power A first notification means for electronically communicating to a wide-area power management promotion organization one day before the day of supply ,
After electronic notification of the first demand procurement plan by the first notification means , the power demand forecast amount of the new electric power company, the adjustment amount of the power procurement amount procured from the power trading market, and the other power sources A second demand procurement plan including at least one change from the adjustment amount of the power procurement amount to be procured from is electronically notified to the power regional operation promotion organization one hour before the day of procurement and supply of the power A second notification means;
Is provided.

In order to achieve the above object, an information processing method according to the present invention includes:
A power demand prediction means for calculating a power demand forecast amount of a new power company;
An electronic bidding step in which an electronic bidding means performs an electronic bidding on the electric power trading market based on the predicted electric power demand and obtains a contract price and an electric power procurement amount as a result of the electronic bidding;
Other power procurement means, the other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources,
The first notification means, before Symbol and forecasted power demand of the new power company, the power and the power procurement amount to procure from the trading market, the first demand procurement plans, including the procurement amount of power to procure from the other power source The first notification step of electronically communicating to the power regional operation promotion organization one day before the day of procurement and supply of power,
After the second notification means electronically notifies the first demand procurement plan in the first notification step, the power demand forecast amount of the new power company, and the adjustment amount of the power procurement amount procured from the power trading market, , The second-generation demand procurement plan including at least one change with the adjustment amount of the electric power procurement amount procured from the other electric power source, the electric power wide-area operation within one hour before the day of the procurement and supply of the electric power A second notification step that electronically communicates to the propulsion organization;
including.

In order to achieve the above object, an information processing program according to the present invention provides:
A power demand forecasting step for calculating a power demand forecast amount of a new power company;
An electronic bidding step of performing an electronic bidding on the electric power trading market based on the predicted electric power demand amount and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
The other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
And forecasted power demand of the previous Symbol new power company, and electricity procurement amount to be raised from the power trading market, the first demand procurement plans, including the procurement amount of power to procure from the other power sources, raised the power The first notification step of electronically communicating to the power regional operation promotion organization one day before the day of supply ,
After electronic notification of the first demand procurement plan in the first notification step, the power demand forecast amount of the new electric power company, the adjustment amount of the power procurement amount procured from the power trading market, and the other power sources A second demand procurement plan including at least one change from the adjustment amount of the power procurement amount to be procured from is electronically notified to the power regional operation promotion organization one hour before the day of procurement and supply of the power A second notification step;
Is executed on the computer.

In order to achieve the above object, a power demand procurement support system according to the present invention includes:
A power demand forecasting means for forecasting the future power demand forecast amount of each power consumer;
A power procurement distribution means for appropriately allocating a future power procurement amount to a power consumer participating in a new power company based on a predicted future power demand amount of each power consumer;
A power bidding means for bidding on the power trading market according to the distribution of the power procurement amount;
Electric power demand procurement notification means for notifying the electric power wide area operation promotion organization of the electric power demand and electric power procurement amount of the new electric power company including the result of the bidding at a predetermined time;
A power demand procurement support system including
The power demand procurement notification means is:
And forecasted power demand of the previous Symbol new power company, and electricity procurement amount to be raised from the power trading market, the first demand procurement plans, including the procurement amount of power to procure from the other power sources, raised the power A first notification means for electronically communicating to a wide-area power management promotion organization one day before the day of supply ,
After electronic notification of the first demand procurement plan by the first notification means , the power demand forecast amount of the new electric power company, the adjustment amount of the power procurement amount procured from the power trading market, and the other power sources A second demand procurement plan including at least one change from the adjustment amount of the power procurement amount to be procured from is electronically notified to the power regional operation promotion organization one hour before the day of procurement and supply of the power A second notification means;
Is provided.

Claims (9)

A power demand forecasting means for calculating a power demand forecast amount of a new power company;
An electronic bidding means for performing an electronic bidding on the electric power trading market based on the electric power demand forecast amount, and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
Other power procurement means for procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. A first notification means for electronically communicating to the administrative promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification means for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
An information processing apparatus comprising:   The information processing apparatus according to claim 1, wherein the other power procurement unit adjusts a combination of procurement from the other power source based on a purchase unit and a unit price of the other power source.   3. The information processing apparatus according to claim 1, wherein the first demand procurement plan and the second demand procurement plan include a procurement plan according to a communication format with the other power source.   And further comprising a communication means for communicating data including the amount of power procured from the other power source in accordance with a communication mode instructed by the other power source in accordance with a communication mode instructed by the other power source. Item 3. The information processing device according to item 1 or 2.   The first notification means and the second notification means are generated by converting the first demand procurement plan and the second demand procurement plan, respectively, into data systems designated by the electric power wide area operation promotion organization. The information processing apparatus according to any one of 1 to 4.   The said 1st notification means and the said 2nd notification means respectively notify the said 1st demand procurement plan and the said 2nd demand procurement plan according to the communication protocol which the said electric power wide area operation promotion organization instruct | indicates. 6. The information processing apparatus according to any one of 5 above. A power demand forecasting step for calculating a power demand forecast amount of a new power company;
An electronic bidding step of performing an electronic bidding on the electric power trading market based on the predicted electric power demand amount and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
The other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. The first notification step to electronically communicate with the operational promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification step for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
An information processing method including: A power demand forecasting step for calculating a power demand forecast amount of a new power company;
An electronic bidding step of performing an electronic bidding on the electric power trading market based on the predicted electric power demand amount and obtaining a contract price and an electric power procurement amount as a result of the electronic bidding;
The other power procurement step of procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. The first notification step to electronically communicate with the operational promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification step for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
An information processing program that causes a computer to execute. A power demand forecasting means for forecasting the future power demand forecast amount of each power consumer;
A power procurement distribution means for appropriately allocating a future power procurement amount to a power consumer participating in a new power company based on a predicted future power demand amount of each power consumer;
A power bidding means for bidding on the power trading market according to the distribution of the power procurement amount;
Electric power demand procurement notification means for notifying the electric power wide area operation promotion organization of the electric power demand and electric power procurement amount of the new electric power company including the result of the bidding at a predetermined time;
A power demand procurement support system including
The power demand procurement notification means is:
Other power procurement means for procuring the difference between the power demand forecast amount and the power procurement amount from the power trading market from other power sources;
On the next day, a first demand procurement plan including a predicted power demand amount of the new electric power company, a power procurement amount procured from the power trading market, and a procured power amount procured from the other power sources is determined. A first notification means for electronically communicating to the administrative promotion organization,
A second amount including a predicted power demand amount of the new power company, an adjustment amount of the power procurement amount procured from the power trading market, and an adjustment amount of the power procurement amount procured from the other power source before the time A second notification means for electronically communicating the demand procurement plan to the electric power wide area operation promotion organization;
Electric power demand procurement support system.

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