JP7631249B2 - POWER TRADING SUPPORT DEVICE, POWER TRADING SUPPORT METHOD, AND PROGRAM - Google Patents

Description

Article 30, paragraph 2 of the Patent Act applies https://www.ceatec.com/2021/ja/ (online exhibition "CEATEC 2021 ONLINE") https://online.ceatec.com/booth/2547 (Toshiba booth at "CEATEC 2021 ONLINE") https://youtu.be/gZuUnFbiAWM (URL of the relevant video (introducing Toshiba's VPP service) embedded in the Toshiba booth above) Date posted on website October 18, 2021 https://www.global. toshiba/jp/ad/corporate/exhibition/ceatec2021.html (Toshiba's CEATEC2021 special site) https://youtu.be/gZuUnFbiAWM (URL of the video embedded in the CEATEC2021 special site (introducing Toshiba's VPP service)) Date posted on the website October 19, 2021

The present invention relates to an energy trading support device, an energy trading support method, and a program.

In recent years, balancing groups (hereinafter referred to as "BG") have been used as a group of businesses that settle imbalances (differences between plans and actual results) in electricity trading. BGs include generation BGs by power generation businesses and demand BGs by consumers. In the following, when simply referred to as "BG", it refers to generation BGs.

A BG, for example, operates multiple renewable energy (RE) power sources (e.g., solar power generators, wind power generators, etc., hereinafter also referred to as power resources or resources). The amount of power generated by each renewable energy power source fluctuates, but a BG works to simultaneously and uniformly plan the amount of power generated across the entire system, thereby reducing the risk of imbalances.

The combination of resources associated with a BG can also be changed. The aggregator operator aims to achieve the planned amount of simultaneous equality for each BG while managing multiple resources, and to suppress revenue losses due to imbalance settlement. To achieve this, the operator needs to determine the appropriate combination of BGs and resources at each specified timing.

JP 2021-47519 A

However, the tasks of an operator are diverse, including managing and controlling distributed resources, buying and selling electricity in the electricity market, and submitting power generation and sales plans. In addition, operators must manage multiple resources to operate economically while also suppressing the amount of imbalance. Therefore, it would be useful to be able to easily determine the appropriate combination of resources for managing multiple resources in the aforementioned tasks and for BGs.

The objective of the present invention is to provide an energy trading support device, an energy trading support method, and a program that can assist an operator in determining an appropriate combination of BGs and power resources.

The energy trading support device of the embodiment includes an attribute database in which one or more balancing groups are associated with each of a plurality of power areas and one or more power plants are associated with each balancing group, and an energy generation prediction database in which an energy generation prediction result is stored for each power resource belonging to the power plant. In a registration mode, the display unit displays the power plants that can be associated with the balancing groups, and registers a combination of the balancing group and the power plant selected by an operator in the attribute database. In a prediction output mode, the display unit selectably displays each item of the power area, the balancing group, and the power plant, and accumulates and displays the energy generation prediction result for each power resource belonging to the power plant associated with the item selected by the operator.

FIG. 1 is a block diagram showing a schematic overview of the entire power system according to the embodiment. FIG. 2 is a diagram illustrating the contents of an attribute DB according to the embodiment. FIG. 3 is a diagram illustrating an example of a predicted output screen of the power generation amount according to the embodiment. FIG. 4 is a diagram illustrating an example of a power price forecast output screen according to the embodiment. FIG. 5 is a diagram illustrating an example of a storage battery operation plan screen according to the embodiment. FIG. 6 is a diagram illustrating an example of a screen showing a breakdown of power for each resource according to the embodiment. FIG. 7 is a diagram illustrating an example of a screen showing details of wholesale destinations of electricity according to the embodiment. FIG. 8 is a flowchart showing a process by the UI function of the embodiment.

The following describes an electricity system including the electricity trading support device of this embodiment with reference to the drawings.

Figure 1 is a block diagram showing a schematic overview of the entire power system S of an embodiment. The power system S includes a cross-regional electricity organization 1, a wholesale electricity exchange 2, a user terminal 3, a cloud environment 5, a renewable energy source 6, a generator 7, a private generator 8, and a storage battery 9. In the following, the renewable energy source 6, the generator 7, the private generator 8, and the storage battery 9 may be collectively referred to as resources. In addition, in Figure 1, the arrows indicate the main flow of information, and information may flow through parts without arrows.

Renewable energy source 6 is a power generation resource that uses renewable energy (solar, wind, biomass, hydroelectric, geothermal, etc.).

Generator 7 is a power generation resource that uses non-renewable energy (thermal power, nuclear power, etc.).

The private generator 8 is, for example, a private generator owned by a high-voltage consumer.

The storage battery 9 is a secondary battery that can be repeatedly charged and discharged.

The Organization for Cross-regional Coordination of Transmission Operators (OCCTO) is an organization that promotes the cross-regional operation of the electric power industry. The Organization for Cross-regional Coordination of Transmission Operators (OCCTO) is an example of such an organization. The Organization for Cross-regional Coordination of Transmission Operators (OCCTO) monitors the supply and demand of electricity for each business operator.

The wholesale electricity exchange 2 is a place where registered member businesses can trade electricity, such as the Japan Electric Power Exchange (JEPX) or a supply and demand adjustment market.

The user terminal 3 is an information processing device operated by an operator of an aggregator that adjusts the supply and demand balance of the power grid on a BG basis or the like, and is, for example, a PC (Personal Computer), a smartphone, a tablet terminal, or the like. The user terminal 3 includes a display unit 31 and an energy trading application 32.

The display unit 31 is a means for displaying information, such as an LCD (Liquid Crystal Display) or a touch panel.

The energy trading app 32 is application software that communicates with the cloud environment 5 and the wholesale energy exchange 2 to process information for various transactions.

The cloud environment 5 is an environment that provides various services (functions) through cloud computing, and includes a renewable energy BG prediction function 51, a renewable energy BG market cooperation function 52, a UI (User Interface) function 53 (energy trading support device), and a resource cooperation I/F 54. Note that, for convenience of explanation, each function 51 to 53 is described separately, but two or more of them may be configured as an integrated unit.

The operator can use all the functions in the cloud environment 5 by logging in to the cloud environment 5 from a browser on the user terminal 3.

The renewable energy BG prediction function 51 is a function for predicting power generation from the renewable energy source 6, and includes prediction data 511, a PV (Photovoltaic: solar power generator) power generation prediction unit 512, a wind power generation prediction unit 513, a spot price prediction unit 514, an hourly market price prediction unit 515, simulation data 516, a trading strategy processing unit 517, a storage battery planning unit 518, and time-series performance data 519.

Prediction data 511 stores prediction data from each unit 512 to 515.

The PV power generation prediction unit 512 predicts the amount of power generated by PV among the renewable energy sources 6.

The wind power generation prediction unit 513 predicts the amount of power generated by the wind power generator among the renewable energy sources 6.

The spot price prediction unit 514 predicts the electricity price in the spot market among electricity transactions at the wholesale electricity exchange 2.

The hourly market price prediction unit 515 predicts the electricity price in the hourly market for electricity trading at the wholesale electricity exchange 2.

The simulation data 516 stores data created by the trading strategy processing unit 517 and the battery planning unit 518.

The trading strategy processing unit 517 uses the forecast data stored in the forecast data 511 and the performance data stored in the time-series performance data 519 to simulate the electricity trading strategy using a predetermined algorithm.

The battery planning unit 518 creates a plan for charging and discharging the battery 9.

Time-series performance data 519 stores time-series performance data obtained from resources.

The renewable energy BG market collaboration function 52 is a function that performs market collaboration for renewable energy BG, and includes forecast data 521, time-series performance data 522, resource data 523, a plan registration unit 524, a control plan creation unit 525, a transaction processing unit 526, and a settlement processing unit 527.

Prediction data 521 stores the prediction data obtained from prediction data 511.

Time series performance data 522 stores the time series performance data obtained from time series performance data 519.

Resource data 523 stores various information about resources, such as their location, specifications, variables, parameters, and other settings.

The plan registration unit 524 registers plans regarding electricity obtained from the Electricity Cross-regional Agency 1.

The control plan creation unit 525 creates a resource control plan based on the forecast data 521, the time-series performance data 522, the resource data 523, and the plan registration unit 524, and transmits the plan to the resource.

The trading processing unit 526 performs electricity trading processing in response to access from the energy trading app 32 of the user terminal 3.

The settlement processing unit 527 performs electricity settlement processing in response to access from the energy trading app 32 of the user terminal 3.

The UI function 53 is a function that assists the aggregator operator in determining an appropriate combination of BGs and power resources, and includes an attribute DB (Data Base) 531, a power generation forecast DB 532, an acquisition unit 533, and a processing unit 534.

In the attribute DB531, one or more BGs are associated with each of a plurality of power areas, and one or more power plants are associated with each BG. Here, FIG. 2 is a diagram showing the contents of the attribute DB531 of the embodiment.

As shown in FIG. 2, the attribute DB 531 has a five-level hierarchical structure. First, in the first level, there is an aggregator. One or more power areas in the second level are associated with an aggregator. One or more BGs in the third level are associated with each power area.

In addition, one or more power plants in the fourth hierarchical level are associated with each BG. In this case, within the power area, a power plant can be made to belong to any BG. Furthermore, multiple BGs can be set within a power area, making management possible on a BG-by-BG basis. One or more resources in the fifth hierarchical level are associated with each power plant.

In addition, the attribute DB 531 sets the design values and location of each resource in the system. Resources are also managed on a power plant basis. By managing multiple resources on a power plant basis, it is possible to create an operation plan for the storage battery 9 that is limited to that power plant. For example, it is possible to plan and control the charging of the storage battery 9 based only on the amount of renewable energy generated within the power plant, and to plan and control the discharging of the storage battery 9 within the authorized output of the entire power plant.

It may also be possible to virtually associate geographically distant resources with one power plant. Normally, multiple resources that are geographically close are bundled together to form one virtual power plant, but in this embodiment, by using a cloud environment, it is possible to associate distant resources as belonging to the same power plant. Under the current system, such an operation is not actually possible, but if it becomes possible under the system, this function will be useful in cases where it is desirable to associate distant resources (for example, when the so-called smoothing effect of power generation may be more effective).

In this way, all resources are managed by a single aggregator. Actual power generation values are recorded and predicted on a resource-by-resource basis, and the actual and predicted power generation values of the resources under a specified power plant, BG, or power area can be accumulated, visualized, and presented to the user (details will be provided later).

Returning to FIG. 1, the power generation prediction DB 532 is data similar to the prediction data 511, and stores the power generation prediction results for each resource.

The acquisition unit 533 acquires various input data such as search conditions from the user terminal 3.

The processing unit 534 executes various information processing. For example, in the registration mode, the processing unit 534 displays power plants that can be associated with BGs on the display unit 31 of the user terminal 3, and registers the combination of BG and power plant selected by the operator in the attribute DB 531.

In addition, in the prediction output mode, the processing unit 534 causes the display unit 31 of the user terminal 3 to display each of the items of power area, BG, and power plant in a selectable manner, and accumulates and displays the power generation prediction results for each power resource belonging to the power plant associated with the item selected by the operator. This will be described with reference to FIG. 3.

Figure 3 is a diagram showing an example of a power generation forecast output screen in an embodiment. A search condition selection screen is displayed in area R1. A BG list is displayed as a search condition in area R2. A power plant list is displayed as a search condition in area R3.

Area R4 displays the total value of the predicted power generation amount for each power resource belonging to the power plant associated with the item selected by the operator (power area, BG, power plant) and the total value of the actual power generation amount. The bar graph shows the total value of the actual power generation amount. Graphs P1 to P5 show the prediction results using five different current day prediction models that predict power generation amount. Graphs Q1 to Q5 show the prediction results using five different day-ahead prediction models that predict power generation amount.

In the case of renewable energy sources 6, the amount of power generated depends on the weather, etc., so the forecast values are uncertain. For this reason, on this screen, multiple forecast results obtained using various forecasting methods (here, five forecasting methods) based on weather forecasts, etc. are represented by lines.

For example, when the operator selects "Entire power area" in area R2, the resources associated with all power areas, that is, the total of the predicted power generation results and the total of the actual power generation values for all resources, are displayed in area R4.

For example, when the operator selects "Area A" in area R2, the total value of the predicted power generation amount and the total value of the actual power generation amount of the resources associated with power area A are displayed in area R4.

For example, when the operator selects "Power Plant A" in area R3, the total value of the predicted power generation amount and the total value of the actual power generation amount of the resources associated with Power Plant A are displayed in area R4.

Although not directly shown in FIG. 3, individual BGs may be displayed as selectable, and the total value of the predicted power generation results and the total value of the actual power generation values of the resources associated with the selected BG may be displayed in region R4. In that case, for example, when one of the power areas in region R2 is selected, the BGs subordinate to that power area may be displayed and made selectable.

By looking at such a screen, operators can make decisions about future electricity market trading bid amounts, taking into account the range of uncertainty about future power generation based on actual power generation values and multiple future forecast values. In addition, the forecast results of both the current day forecast model and the day-ahead forecast model are displayed, and since the shorter the forecast lead time, the higher the forecast accuracy is generally, operators can intuitively understand the direction of change between the previous day and the current day's forecast (whether the power generation forecast has increased or decreased).

In addition, when the processing unit 534 displays power plants that can be associated with BGs on the display unit 31 of the user terminal 3 in the registration mode, it may display, for each BG, only the power resources that exist in the power area that includes the location of the BG.

In addition, in the registration mode, the processing unit 534 may display power resources that can be associated with power plants on the display unit 31 of the user terminal 3, and register the combination of power plants and power resources selected by the operator in the attribute DB 531.

In addition, in the prediction output mode, the processing unit 534 may display selection buttons for the power area, BG, and power plant on one screen of the display unit 31 of the user terminal 3.

1, the resource cooperation I/F 54 is an interface function that cooperates with each resource. For example, it is as follows.
(1) Function for issuing control commands to resources (2) Function for uploading CSV (Comma Separated Value) files (3) API (Application Program Interface) function for registering data (4) PV monitoring function (5) Function for linking with other power monitoring systems (not shown) (6) Storage battery linking function (7) OpenADR (automatic demand response) function (8) Individual resource linking function

Although not shown in FIG. 1, there may be a system or service function between the resource collaboration I/F 54 and the resource. For example, there may be a negawatt system between the resource collaboration I/F 54 and the private power generator 8. Also, for example, there may be a battery VPP (Virtual Power Plant) service function between the resource collaboration I/F 54 and the storage battery 9.

In this way, the resource collaboration I/F 54 enables collaboration with multiple types of resources.

Other examples of display screens will be described below with reference to Figs. 4 to 7. Fig. 4 is a diagram showing an example of an electricity price forecast output screen in an embodiment. By looking at this screen, a user can check price forecast information for the electricity market, etc. A search condition selection screen is displayed in area R11.

In area R12, price prediction information and actual price information are displayed in graphs for a specified area or the nationwide area. Graph SR shows the actual spot market price. Graph SP shows the spot market price forecast. Graph TR shows the actual market price ahead. Graph TP shows the market price ahead forecast. In area R13, price prediction information and actual price information are displayed numerically.

The electricity market consists of spot and hourly markets, and operators must predict prices in multiple markets before deciding on the amount and price to bid into the market. By looking at the screen in Figure 4, operators can simultaneously grasp the performance and prices of multiple markets, enabling them to make accurate and rapid decisions on the amount and price to bid into the market.

Figure 5 is a diagram showing an example of an operation plan screen for the storage battery 9 in the embodiment. A search condition selection screen is displayed in area R21. A storage battery list screen is displayed in area R22.

Area R23 displays the charge and discharge plan for the storage battery 9. Graph G1 shows the SoC (State of charge). Graph G2 shows the discharge plan. Graph G3 shows the charge plan.

Area R24 displays the imbalance amount (bar graph) and system price (line graph). Area R25 displays the charging amount plan and actual charging amount.

Battery detail information is displayed in area R26. For example, the BG name, power plant name, battery name, battery operation mode, etc. are displayed.

The operator can display the operation plan of the storage battery 9 as shown in Figure 5 according to the constraints of the operation plan of the storage battery 9, and check the actual charge/discharge status and SoC of the storage battery 9.

Figure 6 is a diagram showing an example of a screen showing a breakdown of power by resource in an embodiment. Area R31 displays a search condition selection screen. Area R32 displays a BG list screen.

Area R33 displays a breakdown of electricity resources (e.g., biomass, hydroelectric, wind, PV, storage batteries, market procurement, etc.).

Area R34 displays the imbalance amount (bar graph) and the system price (line graph).
Area R35 displays the planned, actual, and imbalance values.

Area R36 displays a list of power plants and their operating status.

By looking at a screen like the one in Figure 6, operators can easily understand the breakdown of power resources and use this information in their work.

In addition, in region R33 of FIG. 6, the portion after the present time may be displayed in a lighter color, so that the past and future portions can be easily distinguished from each other.

Figure 7 is a diagram showing an example of a screen showing the breakdown of wholesale destinations of electricity in an embodiment. This screen is used by the operator to decide the amount of bids to be made to the market and to actually place bids in the market. By operating the "Post-bid plan" operation button in the upper left, the electricity generation source and type of wholesale destination (bar graph) are displayed in the case where the bidded electricity generation amount is hypothetically agreed upon.

More specifically, for example, in the electricity wholesale destination breakdown display mode, the processing unit 534 causes the display unit 41 to display an operation button for "post-bid plan," and when the operation button is operated by the operator, the amount of electricity for each electricity wholesale destination, assuming that the amount of electricity already bid for sale is agreed upon, is displayed in different colors, patterns, etc., so that it can be easily identified by the operator.

By looking at a screen like the one in Figure 7, the operator can easily grasp the amount of electricity for each wholesale destination, and can utilize this information in each task. For example, if a power generation plan is created based on the predicted power generation volume the day before the transaction, and it turns out on the day of the transaction that the amount of power generation is lower than the previous day's forecast, the operator performs an operation to change the planned amount of power sales. Here, by displaying the power sales to JEPX as a wholesale destination and the power sales through bilateral trade in a way that makes it easy to distinguish at a glance, it becomes easier for the operator to maintain the power sales through bilateral trade and adjust the amount of power sales to JEPX when the amount of power generation falls below the previous plan. It is assumed that a penalty is set for bilateral trade when the amount of power sales specified in the contract cannot be achieved, while in market trading, the revenue from power sales only decreases in accordance with the decrease in the amount of power sales, and it is considered that the operator mainly adjusts only the market trading. Therefore, by facilitating such operations, the burden on the operator can be reduced.

Next, the process for displaying the screen in FIG. 3 will be described with reference to FIG. 8. FIG. 8 is a flowchart showing the process by the UI function 53 of the embodiment.

First, in step S1, the acquisition unit 533 acquires input attribute information (information on the combination of each item in FIG. 2) from the user terminal 3.

Next, in step S2, the acquisition unit 533 registers the attribute information acquired in step S1 in the attribute DB 531.

Next, in step S3, the search conditions entered from the user terminal 3 (e.g., "Area A", "BG1", "Power Plant A", etc.) are obtained.

Next, in step S4, the processing unit 534 identifies resources that correspond to the search conditions entered in step S3 (resources subordinate to the search conditions).

Next, in step S5, the processing unit 534 accumulates the power generation prediction results for the resources identified in step S4.

Next, in step S6, the processing unit 534 displays the information obtained through processing in step S5 on the display unit 31 of the user terminal 3 (area R4 in FIG. 3).

Next, in step S7, the processing unit 534 determines whether new search conditions (e.g., "Area A", "BG1", "Power Plant A", etc.) have been acquired from the user terminal 3. If Yes, the processing returns to step S4, and if No, the processing proceeds to step S8. In other words, when the search conditions are changed, the screen display in area R4 in FIG. 3 is switched, and a graph corresponding to the latest search conditions is displayed.

In step S8, the processing unit 534 determines whether or not a display end operation has been performed on the user terminal 3, and if Yes, proceeds to step S9 to end the display, and if No, returns to step S7.

In this way, according to the UI function 53 of the cloud environment 5 of this embodiment, as shown in FIG. 3, the power generation prediction results of the relevant resources are accumulated according to the search conditions and displayed, thereby assisting the operator in determining an appropriate combination of BG and resources.

Furthermore, in registration mode, by displaying only the resources that exist in the power area that includes the location of each BG, operability for the operator can be further improved.

In addition, in the registration mode, if it is possible to virtually associate geographically separated resources with one power plant, the operation of the resources can be planned and controlled as if they were resources within a single power plant.

In addition, in the forecast output mode, by displaying selection buttons for the power area, BG, and power plant items side-by-side on one screen, operability for the operator can be further improved.

In addition, the screens shown in Figures 4 to 7 can be displayed to assist the operator in their work.

The program executed by the UI function 53 of this embodiment may be provided in the form of an installable or executable file recorded on a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk).

The program may also be configured to be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. The program may also be configured to be provided or distributed via a network such as the Internet.

The program may also be provided in advance in a ROM or the like.

Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are included in the scope of the invention and its equivalents described in the claims.

1...Cross-regional Agency for Electric Power Generation, 2...Wholesale Electric Power Exchange, 3...User terminal, 5...Cloud environment, 6...Renewable energy power source, 7...Generator, 8...Private generator, 9...Storage battery, 31...Display unit, 32...Electricity trading application, 51...Renewable energy BG prediction function, 52...Renewable energy BG market cooperation function, 53...Acquisition unit, 54...Resource cooperation I/F, 511...Prediction data, 512...PV power generation prediction unit, 513...Wind power generation prediction unit, 514...Spot price prediction unit, 515...Time Previous market price prediction unit, 516...simulation data, 517...transaction strategy processing unit, 518...battery planning unit, 519...time series performance data, 521...prediction data, 522...time series performance data, 523...resource data, 524...plan registration unit, 525...control plan creation unit, 526...transaction processing unit, 527...settlement processing unit, 531...attribute DB, 532...power generation prediction DB, 533...acquisition unit, 534...processing unit, S...power system

Claims (7)

an attribute database in which one or more balancing groups are associated with each of a plurality of power areas, and one or more power plants are associated with each of the balancing groups;
a power generation amount prediction database that stores a power generation amount prediction result for each power resource belonging to the power plant;
Using
In a registration mode, the power plants that can be associated with the balancing groups are displayed on a display unit, and a combination of the balancing group and the power plant selected by an operator is registered in the attribute database;
An energy trading support device comprising: a processing unit that, in a prediction output mode, causes the display unit to selectably display each item of the power area, the balancing group, and the power plant, and accumulates and displays the power generation prediction result for each power resource belonging to the power plant associated with the item selected by the operator. The processing unit includes:
2. The energy trading support device according to claim 1, wherein in the registration mode, when the display unit is caused to display the power plants that can be associated with the balancing groups, for each balancing group, only the power resources that exist in the power area that includes the location of the balancing group are displayed. The processing unit includes:
2. The energy trading support device according to claim 1, wherein in the registration mode, the display unit displays the power resources that can be associated with the power plants, and a combination of the power plants and the power resources selected by the operator is registered in the attribute database. The processing unit includes:
2. The energy trading supporting apparatus according to claim 1, wherein in the prediction output mode, selection buttons for the power area, the balancing group, and the power plant are displayed side by side on one screen of the display unit. The processing unit includes:
2. The energy trading support device according to claim 1, wherein in an energy wholesale destination breakdown display mode, an operation button for a post-bid plan is displayed on the display unit, and when the operation button is operated by the operator, the amount of energy already bid for electricity sale is hypothetically contracted and is identifiably displayed for each energy wholesale destination. an attribute database in which one or more balancing groups are associated with each of a plurality of power areas, and one or more power plants are associated with each of the balancing groups;
a power generation amount prediction database that stores a power generation amount prediction result for each power resource belonging to the power plant;
A method for supporting energy trading using
In a registration mode, displaying the power plants that can be associated with the balancing group on a display unit, and registering a combination of the balancing group and the power plant selected by an operator in the attribute database;
and in a prediction output mode, causing the display unit to selectably display each of the items, namely, the power area, the balancing group, and the power plant, and accumulating and displaying a power generation prediction result for each of the power resources belonging to the power plant associated with the item selected by the operator. an attribute database in which one or more balancing groups are associated with each of a plurality of power areas, and one or more power plants are associated with each of the balancing groups;
a power generation amount prediction database that stores a power generation amount prediction result for each power resource belonging to the power plant;
Using the above, the computer
In a registration mode, the power plants that can be associated with the balancing groups are displayed on a display unit, and a combination of the balancing group and the power plant selected by an operator is registered in the attribute database;
A program for causing the display unit to function as a processing unit that, in a prediction output mode, causes each item of the power area, the balancing group, and the power plant to be selectable, and accumulates and displays the power generation prediction results for each power resource belonging to the power plant associated with the item selected by the operator.

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