JPWO2018229895A1 - Energy management apparatus and method, energy management system, and operation planning method for energy management system - Google Patents

Abstract

In an entity consisting of a power receiving business and a power generation business, a self-contracted transfer plan is created by considering the uncertainties of multiple production schedules at a manufacturing plant, and power demand is changed by adjusting the production schedule. To keep the same amount as planned. An energy management device for an enterprise having a power generation business and a power reception business connected to an electric power system, wherein an EMS is installed in the power generation business and the power reception business, an AEMS is installed in the business, and the power reception business is installed. EMS predicts the power transition of each production line on the scheduled date and classifies the operation schedule of its own production line on the scheduled date into a fixed schedule, an undetermined schedule, and an adjustable schedule. The determined demand on the scheduled date and the maximum demand in consideration of the undetermined schedule are determined from the classified operation schedule and the power transition on the scheduled date reported from the EMS, and the difference is calculated as the difference between the maximum demand and the contracted power of the power receiving establishment. The self-contracted transmission output to the power receiving establishment is set within the minimum self-contracted amount and the determined demand, and the EMS of the power generation MS is characterized by generating in accordance with the self-wheeling schedule output that defines.

Description

  The present invention relates to an energy management apparatus and method for supplying electric power within a business body composed of a plurality of power generation establishments and a plurality of power reception establishments, an energy management system, and an operation planning method of the energy management system, and in particular, to power reception. The present invention relates to an energy management apparatus and method, an energy management system, and an operation planning method of an energy management system capable of performing power interchange in a business in cooperation with a system that manages a schedule of a process of consuming power in a business establishment.

2. Description of the Related Art In recent years, there has been an increasing need for mutual interchange of electric power within a region by combining renewable energy, cogeneration, and distributed energy such as a storage battery for the purpose of reducing energy costs and CO ₂ emissions.

  Specifically, for example, in an enterprise that owns a plurality of business establishments, a business establishment that owns its own power generation facilities (power generation establishment) has sufficient power generation capacity, and a business establishment that purchases external power (power reception establishment) If there is a shortage of power at the (business establishment), the power will be transferred from the power generation business to the power receiving business. In this case, the entity must pay the consignment fee when the power is exchanged via the power system, but if the power generation unit price including the consignment fee is lower than the external power unit price, there is a cost merit for the entity. is there. In this regard, in Japan, a self-registration system for electric power was started in 2014 as part of the reform of the electric power system, and in the case of power interchange within the same business entity, a low consignment fee will be applied. For this reason, it is expected that in the future, it will be widespread in entities that own multiple business establishments, especially in companies that own multiple manufacturing factories.

  However, in the case of self-consigned transfer via the power grid, for example, the plan values must be submitted the day before, and on the day there is an obligation to supply the same amount of plan values so as to keep the plan values, and the difference (imbalance) If they do, you will have to pay an imbalance fee. Therefore, when creating a plan, it is important to predict the power demand of the power receiving establishment with high accuracy.

  As a conventional technology related to power interchange, Patent Document 1 predicts the electric energy of a power receiving establishment (consumer) based on actual data, and calculates a fuel consumption characteristic, a transmission loss rate, and a consignment fee of a generator of a power generation establishment. It proposes a method to determine the self-entrusted transmission power amount in consideration of it.

JP 2005-261056 A

  However, if the receiving facility is a manufacturing plant, there are multiple production processes with undetermined schedules among many production processes, so the error in the power demand forecast becomes large, and the self-consigned transmission plan becomes uncertain, resulting in an uncertainty. May cause imbalance. In addition, there is a problem in the power receiving business that there is a risk that the power purchased from the outside exceeds the contract power.

  The present invention has been made in view of such a problem, and an object of the present invention is to provide a business entity including a plurality of power receiving establishments including a manufacturing factory and a plurality of power generation establishments, and An energy management device and method, an energy management system, and an energy management system that formulate a self-consignment plan by considering the uncertainty of the production schedule of a plant, and further adjust the production schedule to change the power demand to keep the same planned value. An operation planning method for a management system is provided.

From the above, in the present invention, the `` energy management device in an enterprise having a power generation business and a power reception business connected to the power system,
An EMS (Energy Management System) is installed in the power generation business and the power receiving business, and an AEMS (Area Energy Management System) is installed in the business entity.
The EMS of the power receiving office predicts a power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a fixed schedule, an undetermined schedule, and an adjustable schedule,
The AEMS determines a classified operation schedule on the scheduled date and a determined demand on the scheduled date from the power transition, and a maximum demand in consideration of the undetermined schedule, which is reported from the EMS of the power receiving establishment, and determines the maximum demand. Determine the self-contracted transmission plan output to the power receiving establishment within the range of the minimum self-consigned transmission amount and the determined demand determined as the difference between the contracted power of the entire power receiving establishment and
An energy management device, wherein the EMS of the power generation facility generates power in accordance with a self-consigned schedule output determined by the AEMS. "

Further, in the present invention, "an energy management method in an entity having a power generation business and a power reception business connected to the power system,
For the power receiving office, predict the power transition for each of its own production line on the scheduled date, classify the operation schedule of its own production line on the scheduled date into a fixed schedule, an undetermined schedule, an adjustable schedule,
The determined demand on the scheduled day from the classified operation schedule and the power transition on the scheduled date, the maximum demand in consideration of the undetermined schedule, the minimum demand determined as the difference between the maximum demand and the contracted power of the entire power receiving establishment is determined. Determine the self-consigned transfer plan output to the power receiving establishment within the range of the self-consigned transfer amount and the confirmed demand,
An energy management method, wherein the power generation establishment generates power according to the self-consigned transmission plan output. "

Further, in the present invention, "an energy management system in an entity having a power generation business and a power reception business connected to the power system,
A demand variation factor determining means for determining a demand variation factor in the energy demand forecast of the entire power receiving establishment on the scheduled date; and evaluating a demand variation amount on the scheduled date based on the demand variation factor to determine the energy production of the entire power receiving establishment. An energy management system comprising: a creation unit for creating a purchase / transaction plan; and a presentation unit for presenting a plurality of plans for energy production / purchase / transaction plans created by the creation unit. "

The present invention also provides an operation planning method for energy management in a business entity having a power generation business and a power reception business connected to a power system,
In the energy demand forecast for the entire power receiving business on the scheduled date, schedules due to energy demand are classified into a fixed schedule, an undetermined schedule, and an adjustable schedule, and the maximum error of demand is evaluated based on the undetermined schedule, and energy production is evaluated. An operation planning method for an energy management system, wherein an adjustable schedule is changed to match a planned value when a purchase / transaction plan is created. "

  ADVANTAGE OF THE INVENTION According to this invention, the energy cost of the whole business entity can be reduced by maximizing a self-consigned amount while keeping the same amount of plan values.

The figure showing the example of composition of the business entity concerning the example of the present invention. FIG. 1 is a diagram illustrating an example of a system configuration in a business entity according to an embodiment of the present invention. FIG. 2 is a diagram illustrating an example of a functional configuration of a production schedule management function according to the embodiment of the present invention. The figure which showed an example of the plan generation | occurrence | production flow of self-consignment transfer concerning the Example of this invention. The figure which showed an example of the schedule and the electric power demand of the production line in the electric power receiving establishment which concerns on the Example of this invention. The figure which showed an example of the self-consignment plan created by AEMS which concerns on the Example of this invention. The figure which showed an example of the self-delivery plan of the day created by AEMS which concerns on the Example of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 illustrates an example of a configuration of a business entity according to an embodiment of the present invention. The business entity 3 includes a plurality of power generation establishments 4 (4a to 4n) and a plurality of power reception establishments 5 (5A to 5M) connected to the power system 1.

  Here, the power generation business 4 includes a power generation facility 9, a load 10, and an energy management system (hereinafter referred to as EMS) 6, and includes a load 10 of the power generation business and another power receiving business 5 in the business entity 3. Can be powered. If power is insufficient, purchase external power from a power company.

  On the other hand, the power receiving facility 5 is not provided with the power generation equipment 9 and is constituted by the load 10 and the EMS 22. Power is supplied from the external power source. When the power receiving office 5 is a manufacturing factory, the power receiving office 5 includes a manufacturing execution system (hereinafter, referred to as MES) 8 for managing a production process in the power receiving office 5. MES8 will be described later.

  In addition, a local energy management system (hereinafter, referred to as AEMS) 7 is installed in the business entity 3 and manages self-consigned transmission between the power generation business 4 and the power receiving business 5 in the business business 3. As for the AEMS 7, signal transmission using a communication line is performed between the EMS 6 installed in the power generation business 4 and the EMS 22 installed in the power reception business 5.

  FIG. 2 illustrates an example of a system configuration in the business entity 3 according to the embodiment of the present invention. Note that the business entity 3 includes a plurality of power generation establishments 4 (4a to 4n) and a plurality of power reception establishments 5 (5A to 5M), which have basically the same configuration. Hereinafter, a specific configuration will be described using the power generation business 4a and the power receiving business 5A as representative examples.

  The EMS 6a is installed in the power generation business establishment 4a, and operates the power generation equipment 9 based on a self-consigned transmission planning signal 100 from the AEMS 7.

  On the other hand, as for the power receiving office 5A, this embodiment shows a case where the power receiving office 5A is a manufacturing factory. When the power receiving business 5A is a manufacturing plant, the energy management in the power receiving business 5A is performed by the EMS 22A, but in addition to the above, a manufacturing execution system (hereinafter referred to as MES) 8A for managing the production process, and managing the schedule of the production process. A production schedule management function 11A and a production / self-conveyed plan candidate display function 12A for displaying a production / self-conveyed plan candidate are provided.

  The AEMS 7 includes a demand forecasting function 13 for evaluating the power demand of the entire business 3, a production schedule adjusting function 14 for adjusting the production schedule of each power receiving business 5, and a self-consignment planning function 15 for generating a self-consolidated transfer plan for the entire business 3. And a result output function 16 for outputting the result of the self-consigned transfer.

  The procedure for generating a self-consigned plan will be described below with reference to FIG. 4 showing an example of a self-consigned plan generation flow. The self-consigned plan generation procedure is executed between the plurality of power receiving establishments 5 (5A to 5M), the plurality of power generation establishments 4 (4a to 4n) and the AEMS 7, and the power generation establishment 5 (5A to 5M) Based on the power demand forecast information presented by the business establishment 4 (4a to 4n), the AEMS 7 creates a self-consolidated transmission plan, and the power receiving business establishment 5 (5A to 5M) determines whether to accept the self-consolidated transmission plan. It is a thing of the flow.

  First, on the power receiving establishment 5 (5A to 5M) side, the processing steps S1 to S4 are executed, and the power demand prediction information to be presented to the AEMS 7 side is determined.

  Specifically, first, in the processing step S1 of FIG. 4, the MES 8 of each power receiving office 5 predicts the power consumption of each production line by the conventional results or calculation. In the processing step S2, the power consumption of each production line is determined by the production schedule management function 11 in each power receiving business 5 based on the information input in the MES 8, as shown in FIG. Classify into possible schedules.

  Here, FIG. 5 shows the production line schedules 5AL1S, 5AL2S,... 5ALPS of the production lines 5AL1, 5AL2,. ,... Schematically show the time change of 5ALPP.

  Among them, regarding the production line schedule 5AL1S of the production line 5AL1 owned by the power receiving office 5A, it is determined that the scheduled operation time tomorrow (scheduled date) will be from 8:00 to 20:00, and various materials, equipment, and personnel will be used. The schedule for the unloading procedure has been completed, and tomorrow (scheduled date) is a production line that should operate as scheduled. The power demand in this case is like 5AL1P, peaking between 10:00 and 15:00. In this case, the production line schedule 5AL1S is defined as a fixed schedule.

  Regarding the production line schedule 5AL2S of the production line 5AL2 of the power receiving establishment 5A, the operation scheduled time of the initial tomorrow (scheduled date) is from 10:00 to 18:00 as shown by a solid line, but the scheduled start time Ts There is a possibility that it will be earlier than 10 o'clock, and the scheduled start time Ts cannot be specified until tomorrow (scheduled date). In the planning stage today, for example, the time width dTu from 8:00 to 10:00 is an undetermined time width, and in this case, the production line schedule 5AL2S is defined as an undetermined schedule. In the case of the undetermined schedule, the power demand 5AL2P of tomorrow (scheduled date) is based on the fact that the start and end times of the power demand fluctuation pattern fluctuate as indicated by the dotted line in accordance with the possibility that the operation may be brought forward. Become.

  Regarding the production line schedule 5ALPS of the production line 5ALP of the power receiving office 5A, the operation schedule of tomorrow (scheduled date) is from 9 o'clock to 18 o'clock. The schedule can be shifted from 11:00 to 20:00 and operated. When the latter time zone is selected, the scheduled start time Ts is operated by being shifted by the adjustable time width dTc. In this case, the production line schedule 5ALPS is defined as an adjustable schedule.

  As described above, in the processing step S2, the production schedule management function 11 defines and classifies the power consumption of each production line into one of a fixed schedule, an unfixed schedule, and an adjustable schedule based on the information input in the MES 8. .

  Further, in processing step S3, the production schedule management function 11 predicts the undetermined time width dTu for the undetermined schedule. For example, with regard to the production line schedule 5AL2S, which has been set as an undetermined schedule, the description above has been made with reference to moving the schedule of 10:00 ahead of 8:00, but a time other than 8:00 is assumed as the scheduled start time Ts. Here, the production schedule management function 11 has an operator input function 17 or a machine learning function 18 as shown in FIG. The operator input function 17 outputs to the EMS 22 a result obtained by estimating and inputting the undetermined time width dTu by referring to the supply chain information of the manufacturing plant and the database 19 relating to the past undetermined schedule. Alternatively, the machine learning function 18 calculates the undetermined time width dTu by machine learning with reference to the database 19 and inputs the calculated time width dTu to the EMS 22.

  In the processing step S4 in FIG. 4, the EMS 22 in each power receiving business site 5 performs power demand prediction including an error in each power receiving business site using the undetermined time width dTu as a parameter. This is shown in the example of the power receiving establishment 5A in FIG. 5, and for the power demands 5AL1P, 5AL2P,... 5ALPP determined for each production line schedule 5AL1S, 5AL2S,. It is demand. In this case, since there is a fixed power and an undetermined power for each time, it is grasped separately by a total of the determined power and a total of the undetermined power. In addition, since the undetermined time width dTu is used as a parameter, a plurality of patterns of power demand prediction are performed. In addition, the part corresponding to the sum of undetermined power is an error in the power receiving establishment.

  In the processing step S5 of FIG. 4, the AEMS 7 calculates the power demand of the entire power receiving business based on the power demand forecast information of the power receiving business 5 reported by each power receiving business 5 (5A to 5M).

  FIG. 6 shows an example of the self-consigned transfer plan created on the day before the scheduled date by the AEMS 7. The concept of the present invention will be described with reference to FIG. The self-consigned transmission plan shows the power (transition of power) at each time in the next 24 hours tomorrow (scheduled date). Among the power characteristics shown here, P1 indicates each power receiving business establishment 5 (5A to 5M). ) Is the confirmed demand part of the power demand of the entire power receiving business, calculated based on the power demand forecast information reported by the report. In the fixed demand part P1, the power operation at the fixed schedule among the fixed schedules and the undetermined schedules and the initial operation of the adjustable schedule are scheduled in all the power receiving establishments (5A to 5M). The determined demand is evaluated based on the power at the time of the schedule, and the total is calculated at all power receiving establishments and calculated as the determined demand. At this stage, it is assumed that the power demand of the power generation establishment has not been included yet. In FIG. 5, the total for each time of the portion with the background color corresponds to the determined demand P1.

  The maximum demand P2 in consideration of the undetermined schedule shown in FIG. 6 is obtained by further adding a variation of the undetermined demand with respect to time to the determined demand P1. The maximum demand in consideration of the undetermined schedule is a result of the power demand prediction including all cases where the undetermined time width dTu is changed as a parameter in all power receiving establishments.

  By the way, the business entity 3 in FIG. 1 needs to cover the maximum demand P2 in consideration of the undetermined schedule with the power generation amount from the power generation business 4 (4a to 4n) and the external power of the power company 2 or the like. The external power of the power company 2 or the like is limited by the contract power P3 (total of the contract powers of the power receiving establishments), and power equal to or higher than the contract power P3 cannot be obtained from the power company 2. FIG. 6 shows a minimum self-conveyed amount P4 which is a difference between the maximum demand P2 (undetermined demand maximum value) and the contract power P3 in consideration of the undetermined schedule. Since the power generation includes the consumption of the power demand of the power generation establishment, the amount of power generation that meets the demand of the power receiving establishment is distinguished here as “self-contracted transmission amount”.

  The minimum self-contracted transmission amount P4 shown in FIG. 6 is based on the premise that the power receiving business 5 receives the same amount of external power as the contracted power P3 of the power receiving business, and considers that the rest is self-contained by self-generated power. Means self-consigned amount. In the present invention, a self-consignment transfer plan is drawn up so that the self-consignment transfer plan value from the power generation business 4 is determined so as to fall within the range of the determined demand P1 and the minimum self-consigned transfer amount P4 for each time zone. At this time, the generator operation plan of the power generation establishment in the processing step S7 includes the power demand of the entire power reception establishment in FIG. Perform optimization. In optimization, the ratio between the amount of power purchased and the amount of private power generation is determined in consideration of power generation costs and the like.

  In the processing step S14 in FIG. 4, the total power demand forecast result of the power generation business evaluated by the EMS 6 of the power generation business 4 is added to the power demand of the entire power receiving business obtained in the processing step S5, and the power Find demand.

  In the processing step S6 of FIG. 4, the power demand portion of the whole power receiving business is corrected based on the adjustable time dTc of the adjustable schedule from each power receiving business using the production schedule adjusting function 14 in the AEMS 7. Note that as a result of changing the adjustable time dTc of the adjustable schedule, the relationship between the powers shown in FIG. 6 is changed.

  In the processing step S7 of FIG. 4, the self-consignment transfer planning function 15 in the AEMS 7 compares the corrected power demand of the whole power receiving business and the total power demand of the power generation business with respect to the power demand of the entire business entity. Conduct multiple operation plans for power generation facilities throughout the plant.

  In the operation plan of the power generation facility in the processing step S8 of FIG. 4, a plurality of operation plans are created under the constraint that the power purchased from the outside by each power generation business and the power receiving business is equal to or less than the contracted power. If the constraint is not satisfied, the adjustable schedule shown in the processing step S6 is readjusted.

  In the processing step S9 in FIG. 4, the AEMS 7 outputs a plurality of self-consigned transmission plans to the EMSs 22 of the respective power receiving establishments 5.

  In the processing step S10 in FIG. 4, the EMS 22 and the MES 8 of each power receiving office 5 present the operator with a plurality of self-consigned transmission plans and production schedule plans for the self-consigned transmission plan received from the AEMS 7.

  In the processing step S11 in FIG. 4, the operator of each power receiving establishment 5 selects one plan from a plurality of plans. If the condition is not satisfied, the process returns to the processing step S6 of the AEMS 7, and the adjustable schedule is readjusted again to correct the power demand of the entire power receiving establishment.

  In the processing step S12 in FIG. 4, the MES 8 outputs the production schedule after the operators of all the power receiving establishments approve the self-transfer plan and the production schedule plan.

  Further, in the processing step S13 in FIG. 4, the AEMS 7 outputs a power generation plan to all power generation establishments.

  FIG. 7 shows an example of a self-consigned transmission plan to all the power receiving establishments on the day and an actual result prepared by AEMS7. The operation plan of the self-consigned transfer of the day is repeated at, for example, 30 minute intervals based on the procedure shown in FIG. Basically, the amount of self-consigned transmission from the power generation establishment 4 to the power reception establishment 5 is equal to or less than the demand of the power reception establishment, and the difference is covered by the purchase of external power. However, due to a sudden change in the production plan at the power receiving establishment 5, the demand may be lower than the self-consigned transmission plan value. In this case, an imbalance occurs, and there is a concern that the operating cost increases in a case where the imbalance fee is high. Therefore, in the present embodiment, the demand on the day is compared with the self-consigned schedule value at each scheduled time (for example, 30 minutes), and if there is a possibility of imbalance, the adjustable time of the adjustable schedule shown in FIG. Using the width dTc as a parameter, an operation plan that avoids imbalance is prepared.

  In the description of the above embodiment, the representative adjustable customer equipment which is classified into the adjustable schedule is an air conditioner, but even in this case, the total capacity of the air conditioner is classified into the adjustable schedule. It is preferable that the system be used on the premise that the comfort of the occupants is secured at a minimum and that the surplus air-conditioning equipment capacity be divided into adjustable schedules.

  As described above, according to the method of the present invention, in a business entity including a plurality of power receiving establishments including a manufacturing factory and a plurality of power generation establishments, by considering the uncertainty of a plurality of production schedules of the manufacturing factory, An operation planning device and method for reducing energy costs by maximizing the amount of self-consignment while planning the self-consignment plan and adjusting the production schedule to change the power demand and keep the same amount of planned values can do.

  As described above, in the present invention, in a self-consigned transfer plan on the day before the scheduled date, a machine learning function based on the actual information of the operator or the supply chain, or a production execution for monitoring and managing the work of the production line and workers. Based on the fluctuation information of the production schedule evaluated by the system (MES: Manufacturing Execution System), each production schedule of the power receiving business is classified into a fixed schedule, an undetermined schedule, and an adjustable schedule, and the power demand is determined based on the undetermined schedule. In consideration of the maximum error, create a self-consignment plan so as not to exceed the contract power. At the time of the self-consolidated transfer of the day, the self-contracted plan value is compared with the actual power demand, and the adjustable schedule is changed so that imbalance does not occur. The present invention provides an area energy management system (AEMS: Area Energy Management System) to be presented.

  INDUSTRIAL APPLICABILITY The present invention can be applied to regional energy management of a business entity including a plurality of business sites including buildings, factories, universities, and the like.

1: power system, 2: power company, 3: business entity, 4: power generation business, 5: power receiving business, 6: energy management system (EMS) of power generation business, 7: regional energy management system (AEMS), 8: Manufacturing execution system (MES), 9: Power generation equipment, 10: Load, 11: Production schedule management function, 12: Production / self-conveyance plan candidate display function, 13: Demand forecast function, 14: Production schedule adjustment function, 15 : Self transfer planning function, 16: Result output function, 17: Operator input function, 18: Machine learning function, 19: Database, 22: Energy management system (EMS) of power receiving office

Claims (16)

An energy management device in an entity having a power generation business and a power reception business connected to a power system,
EMS is installed in the power generation business and the power receiving business, and AEMS is installed in the business entity.
The EMS of the power receiving office predicts a power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a fixed schedule, an undetermined schedule, and an adjustable schedule,
The AEMS determines a classified operation schedule on the scheduled date and a determined demand on the scheduled date from the power transition, and a maximum demand in consideration of the undetermined schedule, which is reported from the EMS of the power receiving establishment, and determines the maximum demand. And determine the self-contracted transmission plan output to the power-receiving establishment within the range of the minimum self-consigned amount and the determined demand determined as the difference between the contracted power of the power-receiving establishment,
An energy management device, wherein the EMS of the power generation facility generates power in accordance with a self-consigned schedule output determined by the AEMS. The energy management device according to claim 1,
The AEMS adjusts the operation time of the production line classified in the adjustable schedule when the self-consigned transfer amount to the power receiving business cannot be determined within the range of the minimum self-consigned transfer amount and the fixed demand. An energy management device, characterized in that: An energy management device according to claim 1 or claim 2,
The AEMS creates a plurality of self-consigned plan outputs using the uncertain schedule;
The EMS of the power receiving establishment is a production schedule of the power receiving establishment according to the approved self-consigned transmission plan output among the plurality of self-consigned transmission planned outputs presented by the AEMS,
The energy management apparatus, wherein the AEMS provides the self-consigned transmission plan output approved by the EMS of the power receiving establishment to the EMS of the power generation establishment as a self-consigned transmission planned output determined by the AEMS. The energy management device according to any one of claims 1 to 3, wherein
The AEMS compares the demand on the day with the self-consigned schedule output at each scheduled time (for example, 30 minutes) on the scheduled date, and when there is a possibility of imbalance, the adjustable time width of the adjustable schedule. An energy management device that formulates an operation plan that avoids imbalance by using the parameters as parameters. An energy management method in an entity having a power generation business and a power reception business connected to a power system,
For the power receiving office, predict the power transition for each of its own production line on the scheduled date, classify the operation schedule of its own production line on the scheduled date into a fixed schedule, an undetermined schedule, an adjustable schedule,
The determined demand on the scheduled date from the classified operation schedule and the power transition on the scheduled date, the maximum demand in consideration of the undetermined schedule, the minimum demand determined as the difference between the maximum demand and the contracted power of the power receiving establishment. Determine a self-transportation plan output to the power receiving business within the range of the consignment volume and the fixed demand,
The energy management method, wherein the power generation business generates power according to the self-consigned transmission plan output. The energy management method according to claim 5, wherein
When it is not possible to determine the self-consigned transfer amount to the power receiving establishment within the range of the minimum self-contained transfer amount and the determined demand, the operation timing of the production line classified into the adjustable schedule is adjusted. Energy management methods. An energy management method according to claim 5 or 6, wherein:
Using the uncertain schedule to create a plurality of the self-consigned plan output,
As the production schedule of the power receiving establishment, a self-consolidated transmission plan output selected from the plurality of self-consolidated transmission plan outputs,
An energy management method, wherein the generated power of the power generation establishment is determined in accordance with the selected self-consigned planned output. An energy management method according to any one of claims 5 to 7, wherein:
The demand on the day and the self-consigned schedule output are compared at each scheduled time (for example, 30 minutes) on the scheduled date, and when an imbalance may occur, the adjustable time width of the adjustable schedule is used as a parameter, An energy management method characterized by formulating an operation plan that avoids imbalance. An energy management system in an entity having a power generation facility and a power receiving facility connected to a power system,
A demand fluctuation factor determining means for determining a demand fluctuation factor in an energy demand forecast of the business entity on a scheduled date, and an amount of demand fluctuation on the scheduled date based on the demand fluctuation factor, for energy production / purchase / transaction of the business entity An energy management system comprising: a creation unit that creates a plan; and a presentation unit that presents a plurality of plans for an energy production, purchase, and transaction plan created by the creation unit. The energy management system according to claim 9,
In predicting the energy demand of the business entity, a schedule resulting from the energy demand is classified into a fixed schedule, an undetermined schedule, and an adjustable schedule, and the maximum error of the demand is evaluated based on the undetermined schedule. Management system. The energy management system according to claim 10,
The regional energy management system according to claim 1, wherein when the energy production / purchase / transaction plan is created, the adjustable schedule is changed to match a plan value. A regional energy management system according to claim 10 or claim 11,
A regional energy management system, wherein a customer facility and a schedule that can be adjusted in advance are registered as the adjustable schedule. An energy management system according to claim 12,
An energy management system characterized in that the customer equipment that can be adjusted in advance is an air-conditioning equipment and is adjusted within a range of comfort. An operation planning method for an energy management system in an entity having a power generation facility and a power receiving facility connected to a power system,
In the energy demand forecast of the business entity on the scheduled date, schedules due to energy demand are classified into fixed schedules, unscheduled schedules, and adjustable schedules, the maximum error of demand is evaluated based on the unscheduled schedules, and energy production / purchasing is performed. An operation planning method for an energy management system, wherein an adjustable schedule is changed to match a plan value when a transaction plan is created. An energy management system in an entity having a power generation facility and a power receiving facility connected to a power system,
The power receiving office predicts a power transition for each of its own production lines on the scheduled date using information from the production schedule management function, and determines the operation schedule of its own production line on the scheduled date as a fixed schedule, an undetermined schedule, and an adjustment. Categorized into possible schedules,
The business entity, reported from the power receiving establishment, the determined operation schedule on the scheduled date and the determined demand on the scheduled date from the power transition, and determines the maximum demand in consideration of the undetermined schedule, the maximum demand and Within the range of the minimum self-conveyed amount and the determined demand determined as the difference between the contracted power of the power receiving establishment and the self-consigned transmission plan output to the power receiving establishment,
The power generation plant generates power according to a self-consigned transfer plan output determined by the business entity,
The production schedule management function includes an operator input function or a machine learning function.The operator input function refers to a supply chain information of a manufacturing plant and a database regarding past undetermined schedules, and an operator estimates and inputs an undetermined time width. The obtained result is information from the production schedule management function, or the machine learning function calculates an undetermined time width by machine learning with reference to a database, and uses the information from the production schedule management function. Energy management system. An operation planning method for an energy management system in an entity having a power generation facility and a power receiving facility connected to a power system,
The power receiving office predicts a power transition for each of its own production lines on the scheduled date using information from the production schedule management function, and determines the operation schedule of its own production line on the scheduled date as a fixed schedule, an undetermined schedule, and an adjustment. Categorized into possible schedules,
The business entity, reported from the power receiving establishment, the determined operation schedule on the scheduled date and the determined demand on the scheduled date from the power transition, and determines the maximum demand in consideration of the undetermined schedule, the maximum demand and Within the range of the minimum self-conveyed amount and the determined demand determined as the difference between the contracted power of the power receiving establishment and the self-consigned transmission plan output to the power receiving establishment,
The power generation plant generates power according to a self-consigned transfer plan output determined by the business entity,
The production schedule management function refers to the data on the supply chain information of the manufacturing plant and the past unconfirmed schedule, gives the uncertain time span estimated by the operator, or refers to the database on the past unconfirmed schedule. An operation planning method for an energy management system, characterized by giving a calculated undetermined time width.

Images