WO2018229895A1

WO2018229895A1 - Energy management device and method, energy management system, and energy management system operation planning method

Info

Publication number: WO2018229895A1
Application number: PCT/JP2017/021953
Authority: WO
Inventors: 勉河村; 広考高橋; 亮介中村
Original assignee: 株式会社日立製作所
Priority date: 2017-06-14
Filing date: 2017-06-14
Publication date: 2018-12-20
Also published as: JPWO2018229895A1; JP6893980B2; CN110546842B; CN110546842A

Abstract

The purpose of the present invention is to make a self-consignment plan, for an entity comprising a power receiving business establishment and a power generating business establishment, by considering the uncertainty of a plurality of production schedules of a manufacturing facility, and also to keep planned-value balancing by changing the power demand through the adjustment of the production schedules. An energy management device in an entity comprising a power generating business establishment and a power receiving business establishment which are connected to a power system is characterized in that: an EMS is installed in the power generating business establishment and the power receiving business establishment, and an AEMS is installed in the entity; the EMS of the power receiving business establishment predicts the power transition for each production line of the power receiving business establishment on a scheduled date and categorizes the operation schedules of the production lines thereof on the scheduled date into a definite schedule, indefinite schedule, and an adjustable schedule; and the AEMS, on the basis of the categorized operation schedule and the power transition on the scheduled date which have been reported from the EMS of the power receiving business establishment, sets a definite demand and a maximum demand considering the indefinite schedule on the scheduled date, and sets a self-consignment plan output to the power receiving business establishment within the range of the minimum self-consignment amount, which is obtained as the difference between the maximum demand and the contracted power of the power receiving business establishment, and the definite demand; and the EMS of the power generating business establishment generates power according to the self-consignment plan output set by the AEMS.

Description

Energy management apparatus and method, energy management system, and operation planning method for energy management system

The present invention relates to an energy management apparatus and method, an energy management system, and an operation planning method for an energy management system for supplying electric power within an organization composed of a plurality of power generation establishments and a plurality of power reception establishments. The present invention relates to an energy management apparatus and method, an energy management system, and an operation management method for an energy management system that can perform power interchange within a business in cooperation with a system that manages a schedule of a process that consumes electric power at an office.

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

Specifically, for example, in a business entity that owns multiple business establishments, a business establishment that has private power generation facilities (power production establishment) that has power generation surplus and has purchased external power (power receiving) When power is insufficient at the business establishment), power is exchanged from the power generation establishment to the power reception establishment. In this case, the entity needs to pay a consignment fee when it makes power interchange via the power system, but there is a cost merit for the entity if the unit price of power generation including the consignment fee is lower than the unit price of external power. is there. In this regard, in Japan, the power self-consignment system was started in 2014 as part of the power system reform, and in the case of power interchange within the same business, a low consignment fee was applied. For this reason, it is expected that it will be widely used in business entities that have multiple business establishments, especially companies that have multiple manufacturing factories.

However, when carrying out self-consignment via the power system, for example, the planned value is submitted the day before, and on the day there is an obligation to simultaneously supply the planned value to keep the planned value, and there is a difference (imbalance). If it happens, you need 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 technology related to conventional power interchange, Patent Document 1 predicts the amount of power of a power receiving establishment (customer) based on the actual data, and calculates the fuel consumption characteristics, transmission loss rate, and consignment fee of the generator of the power generation establishment. A method for determining the amount of self-consigned power transmission in consideration of this is proposed.

Japanese Patent Laying-Open No. 2005-261056

However, when the power receiving establishment is a manufacturing plant, there are multiple uncertain schedules among many production processes, so the error in power demand prediction becomes large, and the self-consignment plan becomes uncertain. May cause imbalance. In addition, there is a problem that the power receiving establishment also has a risk that the purchased power from the outside exceeds the contracted power.

The present invention has been made in view of such problems, and the object of the present invention is to provide a plurality of manufacturing factories in a business entity including a plurality of power receiving establishments including a manufacturing factory and a plurality of power generation establishments. Energy management device and method, energy management system and energy to create a self-consignment plan by taking into account the uncertainties of the production schedule, and to adjust the production schedule to change the power demand to keep the same amount of the planned value It is to provide a management system operation planning method.

As described above, in the present invention, “an energy management apparatus in a business entity having a power generation facility and a power reception facility connected to a power system,
An EMS (Energy Management System) is installed in the power generation facility and the power receiving facility, and an AEMS (Area Energy Management System) is installed in the entity.
The EMS of the power receiving establishment predicts the power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a confirmed schedule, an unconfirmed schedule, and an adjustable schedule,
The AEMS determines the maximum demand in consideration of the classified operation schedule on the scheduled date, the determined demand on the scheduled date from the power transition, and the unconfirmed schedule reported from the EMS of the power receiving establishment, and the maximum demand And the self-consignment plan output to the power receiving establishment within the range of the minimum self-consigned amount and the fixed demand obtained as the difference between the contracted power of the whole power receiving establishment,
The energy management apparatus according to claim 1, wherein the EMS of the power generation plant generates power according to a self-consignment plan output determined by the AEMS. ".

Further, in the present invention, “an energy management method in an entity having a power generation facility and a power reception facility connected to an electric power system,
For the power receiving establishment, predict the power transition for each production line on the scheduled date, classify the operation schedule of the production line on the scheduled date into a confirmed schedule, an unconfirmed schedule, an adjustable schedule,
Determined the maximum demand in consideration of the undecided schedule and the determined demand on the scheduled date from the classified operation schedule and the power transition on the scheduled date, and the minimum obtained as the difference between the maximum demand and the contracted power of the entire power receiving establishment Set the self-consignment plan output to the power receiving establishment within the range of the self-consignment amount and the fixed demand,
The energy management method, wherein the power plant generates power according to the self-consignment plan output. ".

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

Further, in the present invention, “an energy management operation planning method in an entity having a power generation facility and a power reception facility connected to a power system,
In the energy demand forecast for the entire power receiving facility on the scheduled date, the schedule caused by energy demand is classified into a fixed schedule, an undefined schedule, and an adjustable schedule, and the maximum error in demand is evaluated based on the undefined schedule to produce energy production An operation plan method for an energy management system characterized in that, when a purchase / transaction plan is created, the adjustable schedule is changed to match the plan value. ".

According to the present invention, the energy cost of the entire business entity can be reduced by maximizing the self-consignment amount while keeping the same amount of plan values.

The figure which shows the structural example of the business entity which concerns on the Example of this invention. The figure which shows an example of the system configuration | structure in the business body which concerns on the Example of this invention. The figure which showed an example of the function structure of the production schedule management function based on the Example of this invention. The figure which showed an example of the plan production | generation flow of the self-delivery based on the Example of this invention. The figure which showed an example of the schedule of a production line in the power receiving establishment which concerns on the Example of this invention, and electric power demand. The figure which showed an example of the self-delivery 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 with 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 shows an example of the 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 establishment 4 includes a power generation facility 9, a load 10, and an energy management system (hereinafter referred to as EMS) 6, and the load 10 of the power generation establishment and other power receiving establishments 5 in the entity 3. Can be powered. If there is a shortage of power, purchase external power from a power company or the like.

On the other hand, the power receiving facility 5 is not provided with the power generation equipment 9, and is composed of the load 10 and the EMS 22, and the other power generation facility 5 and the power company 2 and the like with respect to the load 10 of the power receiving facility. Power is supplied from external power. When the power receiving establishment 5 is a manufacturing factory, a manufacturing execution system (hereinafter referred to as MES) 8 that manages the production process in the power receiving establishment 5 is provided. The MES 8 will be described later.

In addition, the business entity 3 is provided with a regional energy management system (hereinafter referred to as AEMS) 7 to manage self-consignment between the power generation site 4 and the power receiving site 5 in the business unit 3. As for the AEMS 7, signal transmission using a communication line is performed between the EMS 6 installed in the power generation establishment 4 and the EMS 22 installed in the power receiving establishment 5.

FIG. 2 shows an example of a system configuration in the business entity 3 according to the embodiment of the present invention. The business entity 3 has a plurality of power generation establishments 4 (4a to 4n) and a plurality of power reception establishments 5 (5A to 5M), but these are basically the same in configuration. In the following, a specific configuration will be described using the power generation establishment 4a and the power reception establishment 5A as representative examples.

EMS 6a is installed in the power generation site 4a, and the power generation facility 9 is operated based on the self-consignment plan signal 100 from the AEMS 7.

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

The AEMS 7 includes a demand prediction function 13 that evaluates the power demand of the entire business entity 3, a production schedule adjustment function 14 that adjusts the production schedule of each power receiving establishment 5, and a self-consignment plan function 15 that generates a self-consignment plan for the entire business entity 3. The result output function 16 outputs the result of the self-consignment.

The self-consignment plan generation procedure will be described below with reference to FIG. 4 showing an example of the self-consignment plan generation flow. The self-consignment 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 receiving establishment 5 (5A to 5M) and the power generation Based on the power demand forecast information presented by the establishment 4 (4a to 4n), the AEMS 7 creates a self-consignment plan, and the receiving establishment 5 (5A to 5M) determines whether or not the self-consignment plan is acceptable. That is the flow.

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

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

Here, FIG. 5 shows production line schedules 5AL1S, 5AL2S,... 5ALPS of tomorrow (scheduled date) and their electric power demands 5AL1P, 5AL2P with respect to production lines 5AL1, 5AL2,. ,..., 5ALPP is schematically shown.

Among these, regarding the production line schedule 5AL1S of the production line 5AL1 of the power receiving establishment 5A, it is determined that the scheduled operation time tomorrow (scheduled date) is from 8:00 to 20:00, and various materials, equipment, personnel The unloading schedule is ready, and tomorrow (scheduled date) will be a production line that should operate as planned. The power demand in this case seems to be 5AL1P and peaks 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 possessed by the power receiving establishment 5A, this is from 10:00 to 18:00 as shown by the solid line in the initial operation tomorrow (scheduled date). There is a possibility that it will be earlier than 10:00, and the scheduled start time Ts cannot be specified unless it is tomorrow (scheduled date). In the current planning stage, for example, a time width dTu from 8 o'clock to 10 o'clock is an indeterminate time interval, and in this case, the production line schedule 5AL2S is defined as an indeterminate schedule. In the case of the unconfirmed schedule, the power demand 5AL2P of tomorrow (scheduled date) will change the start and end times of the power demand fluctuation pattern as shown by the dotted line in accordance with the possibility that the operation may be advanced. Become.

As for the production line schedule 5ALPS of the production line 5ALP of the power receiving establishment 5A, the operation schedule for tomorrow (scheduled date) is from 9:00 to 18:00, but for example, it may be completed during tomorrow (scheduled date). The schedule can be shifted from 11:00 to 20:00. When the latter time zone is selected, the scheduled start time Ts is moved by an adjustable time width dTc for operation. 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 for each production line as one of a confirmed schedule, an unconfirmed schedule, and an adjustable schedule based on the information input in the MES 8. .

Further, in the processing step S3, the production schedule management function 11 predicts the indeterminate time width dTu for the indeterminate schedule. For example, for the production line schedule 5AL2S that is an unconfirmed schedule, the previous description has been given of bringing the 10 o'clock schedule forward 8 o'clock, but a time other than 8 o'clock is assumed as the scheduled start time Ts. Here, the production schedule management function 11 includes an operator input function 17 or a machine learning function 18 as shown in FIG. The operator input function 17 refers to the database 19 regarding the supply chain information of the manufacturing factory and the past uncertain schedule, and outputs the result of the operator estimating and inputting the uncertain time width dTu to the EMS 22. Alternatively, the machine learning function 18 refers to the database 19 to calculate the undetermined time width dTu by machine learning and inputs it to the EMS 22.

4, in the processing step S4 of FIG. 4, the EMS 22 in each power receiving establishment 5 performs power demand prediction including an error in each power receiving establishment with the undefined time width dTu as a parameter. When this is shown in the example of the power receiving establishment 5A in FIG. 5, the electric power demand 5AL1P, 5AL2P,... 5ALPP determined for each of the production line schedules 5AL1S, 5AL2S,. It is a demand. In this case, since there are power determined and unconfirmed power for each time, it is grasped by dividing the sum of the determined power and the total of the unconfirmed power. In addition, since the indeterminate time width dTu is used as a parameter, power demand prediction is performed in a plurality of patterns. Note that the portion corresponding to the total unconfirmed power is the error at the power receiving establishment.

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

FIG. 6 shows an example of a self-consignment plan created on the day before the scheduled date by AEMS7. The concept of the present invention will be described with reference to FIG. The self-consignment plan shows the power (transition of power) at each time in 24 hours tomorrow (scheduled date). Of the power characteristics shown here, P1 represents each power receiving establishment 5 (5A to 5M) ) Is a fixed demand portion of the power demand of the entire power receiving station calculated based on the power demand forecast information reported by The fixed demand portion P1 is scheduled to operate at all power receiving establishments (5A to 5M) in the fixed schedule and the fixed schedule among the undefined schedules and in the adjustable schedule. Based on the power at the time of the schedule, the final demand is evaluated, and the total demand is calculated as the final demand at all power receiving establishments. At this stage, it is assumed that the power demand of the power plant has not yet been included. In FIG. 5, the total for each time of the portion with the background color corresponds to the final demand P1.

The maximum demand P2 in consideration of the unconfirmed schedule in FIG. 6 is obtained by further adding the amount of fluctuation of the unconfirmed demand for each time to the confirmed demand P1. The maximum demand in consideration of the unconfirmed schedule is a result of power demand prediction including all cases in which the unconfirmed 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 unconfirmed schedule by the amount of power generated from the power plant 4 (4a to 4n) and the external power from the power company 2, etc. The external power of the power company 2 and the like is limited by the contract power P3 (the total contract power of the power receiving establishment), and power that is equal to or greater than the contract power P3 cannot be obtained from the power company 2. FIG. 6 shows the minimum self-delivery amount P4 that is the difference between the maximum demand P2 (unconfirmed demand maximum value) and the contract power P3 in consideration of the unconfirmed schedule. Since power generation includes consumption of the power demand of the power generation establishment, here, the amount of power generation that covers the demand of the power receiving establishment is distinguished as “self-consigned amount”.

The minimum self-consigned amount P4 shown in FIG. 6 is the minimum when the power receiving establishment 5 accepts the same amount of external power as the contracted power P3 of the power receiving establishment, and the rest is self-consigned by private power generation. Means self-consignment volume. In the present invention, the self-consignment plan is formulated so that the self-consignment plan value from the power plant 4 is determined so as to fall within the range of the fixed demand P1 and the minimum self-consignment amount P4 for each time zone. At this time, the generator operation plan of the power plant in the processing step S7 includes the power demand of the whole power receiving plant in FIG. 6 so as to reduce the power generation cost. Perform optimization. In optimization, the ratio between the amount of electricity purchased and the amount of private power generation is determined in consideration of power generation costs.

In processing step S14 of FIG. 4, the total power demand prediction result of the power plant evaluated by the EMS 6 of the power plant 4 is added to the power demand of the entire power receiving plant obtained in the processing step S5 to obtain the power of the entire business unit. Demand demand.

In process step S6 of FIG. 4, the electric power demand part of the whole power receiving establishment is corrected based on the adjustable time dTc of the adjustable schedule from each power receiving establishment using the production schedule adjustment function 14 in AEMS7. As a result of changing the adjustable time dTc of the adjustable schedule, the relationship of each power shown in FIG. 6 is changed.

In the processing step S7 of FIG. 4, in the self-consignment planning function 15 in the AEMS 7, the power generation business is calculated with respect to the power demand of the entire business body, which is the sum of the power demand of the whole power receiving business and the power demand of the power business. 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 site and the power reception site is equal to or less than the contract power. If the constraint condition is not satisfied, the adjustable schedule shown in process step S6 is readjusted.

In process step S9 of FIG. 4, a plurality of self-consignment plans are output from AEMS 7 to EMS 22 of each power receiving establishment 5.

4, regarding the self-consignment plan received from the AEMS 7, the EMS 22 and MES8 of each power receiving establishment 5 present a plurality of self-consignment plans and production schedule proposals to the operator.

In the processing step S11 of FIG. 4, the operator of each power receiving establishment 5 selects one plan from a plurality of plans. When the condition is not satisfied, the process returns to the processing step S6 of AEMS7, and the adjustable schedule is readjusted again to correct the power demand of the entire power receiving establishment.

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

Furthermore, in process step S13 of FIG. 4, AEMS7 outputs a power generation plan to all the power generation establishments.

Fig. 7 shows an example of the self-consignment plan and actual results for all power receiving establishments created on AEMS7 on the day. The operation plan for the self-consignment on that day is repeated at intervals of, for example, 30 minutes based on the procedure shown in FIG. Basically, the amount of self-consignment from the power generation site 4 to the power receiving site 5 is less than the demand amount of the power receiving site, and the difference is covered by the purchase of external power. However, the demand may fall below the self-consigned plan due to a sudden change in the production plan at the power receiving establishment 5. In that case, since imbalance occurs, there is a concern that the operation cost increases in the case where the imbalance fee is high. Therefore, in the present embodiment, the demand on the day and the self-consignment plan value are compared every planned 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 drawn up.

In the description of the above embodiment, the representative adjustable consumer equipment classified into the adjustable schedule is the air conditioning equipment, but even in this case, the entire capacity of the air conditioning equipment is classified into the adjustable schedule. It is desirable that the capacity of surplus air-conditioning equipment be classified into an adjustable schedule on the premise that the comfort of residents is ensured at the minimum.

As described above, according to the method of the present invention, in an entity composed of a plurality of power receiving establishments including a manufacturing factory and a plurality of power generation establishments, by considering the uncertainty of the plurality of production schedules of the manufacturing factory Providing an operation planning device and method that reduces energy costs by formulating a self-consignment plan, and further adjusting the production schedule to maximize the self-consignment amount while changing the power demand and protecting the same amount of plan values. can do.

As described above, in the present invention, in the self-consignment plan the day before the scheduled date, the machine learning function based on the performance information of the operator or the supply chain, or the manufacturing execution that monitors and manages the work of the production line and workers Based on the production schedule fluctuation information evaluated by the system (MES: Manufacturing Execution System), each production schedule of the receiving power plant is classified into a fixed schedule, an uncertain schedule, and an adjustable schedule, and the power demand based on the undefined schedule Create a self-consignment plan so as not to exceed the contract power in consideration of the maximum error. When executing self-consignment on the day, compare the self-consigned plan value with the actual power demand, change the adjustable schedule so that imbalance does not occur, and give the operator multiple candidates for the production schedule and self-consignment plan for each plan period It provides the regional energy management system (AEMS: Area Energy Management System) to be presented.

The present invention can be applied to regional energy management of a business entity composed of a plurality of business establishments composed of buildings, factories, universities, and the like.

1: Power system 2: Power company 3: Business entity 4: Power plant 5: Power plant 6: Energy management system (EMS) of power plant 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-consignment plan candidate display function, 13: Demand prediction function, 14: Production schedule adjustment function, 15 : Self-consignment planning function, 16 ... Result output function, 17: Operator input function, 18: Machine learning function, 19: Database, 22: Energy management system (EMS) of the power receiving establishment

Claims

An energy management device in an entity having a power generation facility and a power reception facility connected to an electric power system,
An EMS is installed at the power generation site and the power receiving site, and an AEMS is installed at the business unit.
The EMS of the power receiving establishment predicts the power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a confirmed schedule, an unconfirmed schedule, and an adjustable schedule,
The AEMS determines the maximum demand in consideration of the classified operation schedule on the scheduled date, the determined demand on the scheduled date from the power transition, and the unconfirmed schedule reported from the EMS of the power receiving establishment, and the maximum demand And the self-consignment plan output to the power receiving establishment within the range of the minimum self-consigned amount and the fixed demand obtained as the difference between the contracted power of the power receiving establishment,
The energy management apparatus according to claim 1, wherein the EMS of the power generation plant generates power according to a self-consignment plan output determined by the AEMS.
The energy management device according to claim 1, wherein
The AEMS adjusts the operation time of the production line classified in the adjustable schedule when the self-consigned amount to the power receiving establishment cannot be determined within the range of the minimum self-consigned amount and the fixed demand. An energy management device characterized by that.
The energy management device according to claim 1 or claim 2,
The AEMS creates a plurality of self-consignment plan outputs using the unconfirmed schedule,
The EMS of the power receiving establishment is set as a production schedule of the power receiving establishment according to the approved self consignment plan output among the plurality of self consignment plan outputs presented from the AEMS,
The AEMS provides the EMS of the power plant with the self-consignment plan output approved by the EMS of the power receiving establishment as the self-consignment plan output determined by the AEMS.
The energy management device according to any one of claims 1 to 3,
The AEMS compares the demand on the day and the self-consignment plan output at each scheduled time (for example, 30 minutes) on the scheduled date, and if there is a possibility of imbalance, the adjustable time width of the adjustable schedule An energy management apparatus characterized by formulating an operation plan that avoids imbalances using as a parameter.
An energy management method in an entity having a power generation facility and a power reception facility connected to an electric power system,
For the power receiving establishment, predict the power transition for each production line on the scheduled date, classify the operation schedule of the production line on the scheduled date into a confirmed schedule, an unconfirmed schedule, an adjustable schedule,
The minimum self determined as the difference between the maximum demand and the contracted power of the power receiving establishment by determining the determined demand on the scheduled date from the classified operation schedule on the scheduled date and the power transition, and the maximum demand in consideration of the unconfirmed schedule Set the self-consignment plan output to the power receiving establishment within the range of the consignment amount and the fixed demand,
The energy management method, wherein the power plant generates power according to the self-consignment plan output.
The energy management method according to claim 5,
When the self-consigned amount to the power receiving establishment cannot be determined within the range of the minimum self-consigned amount and the fixed demand, the operation time of the production line classified in the adjustable schedule is adjusted. To manage energy.
The energy management method according to claim 5 or 6, wherein
Creating a plurality of self-consignment plan outputs using the unconfirmed schedule;
The self-consignment plan output selected from the plurality of self-consignment plan outputs is the production schedule of the power receiving establishment,
An energy management method characterized in that the generated power of the power plant is determined according to the selected self-consignment plan output.
The energy management method according to any one of claims 5 to 7,
Compare the demand on the day and the self-consignment plan output for each planned time (for example, 30 minutes) on the scheduled date, and if there is a possibility of imbalance, the adjustable time width of the adjustable schedule 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 reception facility connected to an electric power system,
Demand fluctuation factor determining means for determining a demand fluctuation factor in the energy demand forecast of the entity on the scheduled date, and evaluating the demand fluctuation amount on the scheduled date based on the demand fluctuation factor, energy production / purchase / transaction of the entity An energy management system comprising: creation means for creating a plan; and presentation means for presenting a plurality of plans for the energy production / purchase / transaction plan created by the creation means.
The energy management system according to claim 9,
When predicting the energy demand of the business entity, the schedule resulting from the energy demand is classified into a fixed schedule, an indeterminate schedule, and an adjustable schedule, and the maximum error of the demand is evaluated based on the indeterminate schedule Management system.
The energy management system according to claim 10,
When creating the energy production / purchase / transaction plan, the adjustable energy schedule is changed to match the planned value.
A regional energy management system according to claim 10 or claim 11,
A local energy management system, wherein customer facilities and schedules that can be adjusted in advance are registered as the adjustable schedules.
An energy management system according to claim 12,
The energy management system is characterized in that the customer equipment that can be adjusted in advance is an air-conditioning system and is adjusted within the range of comfort.
An operation plan method for an energy management system in an entity having a power generation facility and a power reception facility connected to an electric power system,
In the energy demand forecast of the entity on the scheduled date, the schedule due to energy demand is classified into a fixed schedule, an undefined schedule, and an adjustable schedule, and the maximum error in demand is evaluated based on the undefined schedule, and energy production / purchase An operation plan method for an energy management system, characterized in that, when creating a transaction plan, the adjustable schedule is changed to match the plan value.
An energy management system in an entity having a power generation facility and a power reception facility connected to an electric power system,
The power receiving establishment predicts the power transition for each production line on the scheduled date using information from the production schedule management function, and confirms the operation schedule of the production line on the scheduled date, the unconfirmed schedule, and the adjustment. Classify them into possible schedules,
The business entity determines the maximum demand in consideration of the uncertain schedule, the determined demand on the scheduled date from the operation schedule classified on the scheduled date and the power transition reported from the power receiving establishment, and the maximum demand and Determine the self-consignment plan output to the power receiving establishment within the range of the minimum self-consigned amount and the fixed demand obtained as the difference in contract power of the power receiving establishment,
The power generation facility generates power according to the self-consignment plan output determined by the entity,
The production schedule management function includes an operator input function or a machine learning function. The operator input function refers to a database relating to supply chain information of a manufacturing factory and a past uncertain schedule, and an operator inputs an estimate of an uncertain time width. Or the machine learning function calculates an undetermined time width by machine learning with reference to a database and uses the result as the information from the production schedule management function. Energy management system.
An operation plan method for an energy management system in an entity having a power generation facility and a power reception facility connected to an electric power system,
The power receiving establishment predicts the power transition for each production line on the scheduled date using information from the production schedule management function, and confirms the operation schedule of the production line on the scheduled date, the unconfirmed schedule, and the adjustment. Classify them into possible schedules,
The business entity determines the maximum demand in consideration of the uncertain schedule, the determined demand on the scheduled date from the operation schedule classified on the scheduled date and the power transition reported from the power receiving establishment, and the maximum demand and Determine the self-consignment plan output to the power receiving establishment within the range of the minimum self-consigned amount and the fixed demand obtained as the difference in contract power of the power receiving establishment,
The power generation facility generates power according to the self-consignment plan output determined by the entity,
The production schedule management function refers to the supply chain information of the manufacturing plant and the data related to the past uncertain schedule, gives the uncertain time width estimated by the operator, or refers to the database related to the past uncertain schedule. An operation planning method for an energy management system, characterized by giving a calculated indefinite time span.