Apparatus, system and method for supporting integrated energy management

Abstract

To effectively support energy management including electricity and hydrogen.SOLUTION: A device stores an electricity demand prediction value in a predetermined area, a hydrogen demand prediction value in the area, and information on costs of power generation and hydrogen production. The device creates and presents an integrated energy plan including a power generation plan and a hydrogen production plan on the basis of the information on costs of power generation and hydrogen production, under a condition where it is possible to supply the electricity demand prediction value and an amount of electricity required for hydrogen production based on the hydrogen demand prediction value, and to supply the hydrogen demand prediction value.SELECTED DRAWING: Figure 2A

Description

[Technical Field]

[0001] The present invention relates to a technology for supporting integrated energy management of electricity and hydrogen. [Background technology]

[0002] In recent years, in an effort to realize a decarbonized society, there has been a growing need, primarily among national and local governments, for regional energy management that utilizes renewable energy sources such as solar and wind power, as well as hydrogen produced from renewable energy sources, i.e., green hydrogen.

[0003] When utilizing renewable energy, it is difficult to secure a sufficient supply to meet demand within a region using renewable energy alone, so it is common to use it in conjunction with other power generation methods such as thermal power plants both inside and outside the region to procure electricity that can supply the amount of demand in each time period. Conversely, during times when there is a surplus of electricity compared to demand, the electricity can be stored in storage resources such as batteries and pumped storage power plants, used to generate hydrogen as described below, or the surplus can be sold through markets such as the Japan Electric Power Exchange (JEPX).

[0004] Meanwhile, hydrogen is used as energy for fuel cells in homes and industrial activities, as well as for fuel cell vehicles (FCVs). Hydrogen can be procured locally by directly purchasing hydrogen or by generating it using electricity within the region using a device called a water electrolysis device, which electrolyzes water using electrical energy. In addition, if there is a surplus of hydrogen within the region, it can be sold outside the region.

[0005] As prior art of the present disclosure, Japanese Patent Application Laid-Open No. 2006-331229 (Patent Document 1), Japanese Patent Application Laid-Open No. 2020-54085 (Patent Document 2), and the like have been proposed.

[0006] Patent Document 1, which describes this conventional technology, states that "multiple portfolios are created that show the electricity supply and demand structure by combining multiple types of electricity asset management, including power generation, retail, and wholesale electricity trading, based on demand forecast data, power source data, and market data."

[0007] Furthermore, Patent Document 2, which is a conventional technology, states that "a power transmission plan is formulated based on a predicted value of surplus power, which is based on the difference between the predicted value of power generation by renewable energy and the predicted value of power demand, and the amount of hydrogen produced and stored, the amount of charge in the storage battery, and the amount of power generated by the fuel cell are controlled based on the comparison result between the predicted value of surplus power and the actual value, and the comparison result between the charging rate of the storage battery and a first set value." [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Japanese Patent Application Laid-Open No. 2006-331229 [Patent Document 2] Japanese Patent Publication No. 2020-54085 Summary of the Invention [Problem to be solved by the invention]

[0009] Patent Document 1 describes a method for improving profits by evaluating an operational portfolio of power generation, retail, and wholesale power trading based on predicted power demand values, power source specifications, and predicted power market prices, and improving the evaluation values. Patent Document 2 describes a method for determining the output of power storage resources and the amount of hydrogen production so as not to deviate from the capacity of the power grid, based on predicted renewable energy power generation values, predicted power demand values, storage batteries, and the amount of hydrogen that can be stored.

[0010] However, in order to manage energy, including electricity and hydrogen, more effectively and efficiently within communities such as local governments, technology that supports integrated energy planning from a broader perspective of electricity and hydrogen is desired. [Means for solving the problem]

[0011] In order to achieve the above-mentioned object, one representative aspect of the present invention is an apparatus for supporting integrated energy management, which includes one or more computing devices and one or more storage devices, wherein the one or more storage devices store a predicted value of electricity demand in a specified area, a predicted value of hydrogen demand in the area, and information on the costs of power generation and hydrogen production, and the one or more computing devices formulate and present an integrated energy plan including a power generation plan and a hydrogen production plan based on the information on the costs of power generation and hydrogen production, under conditions where the amount of electricity required for hydrogen production based on the predicted value of electricity demand and the predicted value of hydrogen demand can be supplied, and the predicted value of hydrogen demand can be supplied. [Effects of the Invention]

[0012] According to one aspect of the present invention, it is possible to effectively support energy management including electric power and hydrogen. [Brief explanation of the drawings]

[0013] [Figure 1A] Configuration diagram of the integrated energy planning system [Figure 1B] Configuration diagram of the integrated energy planning system [Figure 2A] Software configuration of the integrated energy planning system [Figure 2B] Software configuration of the integrated energy planning system [Figure 3] Flowchart showing the processing procedure of the planning department [Figure 4] Flowchart showing the processing procedure of the energy operation plan assumption unit [Figure 5] Flowchart showing the processing procedure of the total income calculation unit [Figure 6] Flowchart showing the processing procedure of the total cost calculation unit [Figure 7] Constraint Check - Flowchart showing the constraint check processing procedure of the Profit Improvement Department [Figure 8] Flowchart showing the processing procedure of the information presentation unit [Figure 9] Example of a data table for weather forecast data [Figure 10] Example of a data table for electricity demand forecast data [Figure 11] Example of a data table for hydrogen demand forecast data [Figure 12] Example data table for electricity market forecast data [Figure 13] Example data table for hydrogen market forecast data [Figure 14] Example of a data table for inflow forecast data [Figure 15] Example data table for thermal power generator data [Figure 16] Example data table for hydroelectric generator data [Figure 17] Example of a data table for water electrolysis equipment [Figure 18] Example of a data table for battery data [Figure 19] Example of a data table for hydrogen station data [Figure 20] Example of a data table for thermal power generation schedule [Figure 21] Example of a hydroelectric generation schedule data table [Figure 22] Example of a data table for battery charge / discharge schedule [Figure 23] Example of a data table for hydrogen production schedule [Figure 24] Example of a data table for hydrogen storage schedule [Figure 25] Example of a data table for the electricity trading schedule [Figure 26] Example of hydrogen trading schedule [Figure 27] Conceptual diagram of stakeholder relationships and energy generation, storage, and conversion facilities [Figure 28] Conceptual diagram of planning constraints for the generation, storage, and trading of electricity and hydrogen [Figure 29] Example screen for community energy operators [Figure 30] Screen example for power generation companies [Figure 31] Screen example for electricity retailers [Figure 32] Screen example for hydrogen retailers DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. One embodiment of this specification relates to a technology for planning the generation and sale of electricity and hydrogen. To efficiently and economically operate electricity and hydrogen, it is necessary to create a plan based on a quantitative evaluation of the overall profits related to the generation, procurement, and sale of electricity and hydrogen, taking into account the status of local power generation facilities, hydrogen production facilities, and other facilities. However, in a system that generates, procures, and supplies both electricity and hydrogen, it is difficult to accurately evaluate the total profits, consisting of the costs and revenues involved in their execution, and to improve the overall profits of the energy operations related to electricity and hydrogen.

[0015] One embodiment of this specification describes an integrated energy planning method that can create an operating portfolio consisting of a combination of power generation, hydrogen generation, power trading, and hydrogen trading that maximizes total revenue consisting of sales revenue, generation costs, and procurement costs of power and hydrogen, depending on the demand for power and hydrogen, market prices, and constraints on power and hydrogen production and storage devices. Accurate evaluation of total revenue from the procurement, generation, and sale of power and hydrogen can improve revenue throughout the evaluation period.

[0016] The system disclosed in this embodiment creates an integrated plan for a power generation plan, a hydrogen production plan, a power purchase and sale plan, and a hydrogen purchase and sale plan in a local community where electricity and hydrogen are operated. The integrated plan is created based on forecast information regarding the amount of renewable energy power generation, electricity demand, hydrogen demand, and market prices in the local community, as well as information regarding asset specifications, including electricity and hydrogen equipment specifications. The system also creates an integrated plan for a power generation plan, a hydrogen production plan, a power purchase and sale plan, and a hydrogen purchase and sale plan that maximizes total revenue, which is made up of electricity and hydrogen sales revenue, generation costs, and procurement costs.

[0017] Figure 27 schematically shows the relationships between stakeholders in this embodiment and the energy generation, storage, and conversion facilities owned by each business. Here, a local community 510 includes, for example, general consumers 513 who use electricity and hydrogen, a power generation business 514 that supplies electricity or hydrogen to the same area, an electricity retailer 511, a hydrogen retailer 512, and a community energy manager 515 such as a local government headquarters that manages and oversees these businesses. For ease of explanation, it is assumed below that one community 510 has one power generation business 514, one electricity retailer 511, and one hydrogen retailer 512. The number of each business depends on the community configuration.

[0018] The power generation company 514 has renewable energy facilities 521 such as photovoltaic (PV) and wind power, a thermal power generator 522, a hydroelectric power generator 523, and a storage battery 524 as power sources 520, and also has a water electrolysis device 526 that uses electricity to generate hydrogen. This embodiment can be applied to cases where the hydrogen is in the form of either hydrogen gas or liquid hydrogen, but here we assume a case where liquid hydrogen is generated and transported by a liquefied hydrogen trailer or the like. The power generation company 514 supplies electricity to electricity retailers 511 within the community 510 on a bilateral basis, and also sells electricity to an electricity trading market 531 such as JEPX in an external market 530.

[0019] The hydrogen generated by the water electrolysis device 526 is supplied to the hydrogen retailer 512 within the community 510, and is also sold to external hydrogen suppliers 532, such as hydrogen retailers in other communities and the hydrogen trading market. The electricity retailer 511 procures electricity from the power generation company 514 or the electricity trading market 531, and supplies and sells it to general consumers 513. The hydrogen retailer 512 owns a hydrogen station 527, which is a hydrogen storage facility that stores hydrogen supplied by the power generation company 514 and hydrogen procured from external suppliers 532, and supplies it to the FCVs and home fuel cells of general consumers 513. The general consumers 513 are charged a fee for the electricity and hydrogen they purchase. Electricity retailer 511 and hydrogen retailers 512.

[0020] The community energy operator 515 manages the activities of the power generation company 514, the electricity retailer 511, and the hydrogen retailer 512 and provides plans for these activities. The community energy operator 515 uses an integrated energy planning device according to an embodiment of the present specification to create an integrated electricity and hydrogen plan and pass it on to related stakeholders. (1) Configuration of the integrated energy planning system

[0021] 1A and 1B are diagrams illustrating an example of the configuration of an integrated energy plan formulation device 10 according to this embodiment. As shown in Fig. 1A, the integrated energy plan formulation device 10 is connected to an electronic terminal 12 of a community energy operator, an electronic terminal 13 of a power generation company, an electronic terminal 14 of an electricity retailer, and an electronic terminal 15 of a hydrogen retailer via a communication network 11. The electronic terminal 12 accepts input of information on a target area from the community energy operator and displays the results of the plan formulation.

[0022] In the following, one community corresponds to one area. The electronic terminals 13, 14, and 15 display the results of planning for power generation, electricity retail, and hydrogen retail in accordance with the account information of each business operator.

[0023] 1B, the integrated energy plan formulation device 10 includes an auxiliary storage device 26 configured with an appropriate nonvolatile storage element such as a hard disk drive, and a memory (main storage device) 22 configured with a volatile storage element such as a RAM. Furthermore, the device includes a calculation device 21 such as a CPU (Central Processing Unit) that executes programs stored in the auxiliary storage device 26 by reading them into the memory 22, thereby performing overall control of the device itself and performing various judgments, calculations, and control processes.

[0024] In addition, the integrated energy planning device 10 includes an input device 23 such as a keyboard or mouse that accepts user input, an output device 24 such as a display that outputs processing results, and a communication device 25 such as a network interface that is connected to the communication network 11 and handles communication processing with other devices such as an external electronic terminal 12.

[0025] The auxiliary storage device 26 stores various programs, including an account management unit 30, a planning unit 31, a renewable energy power generation amount prediction unit 54, and an information presentation unit 55 that creates information to be presented on the output device 24.

[0026] The planning unit 31 includes an energy operation plan assumption unit 32, a total revenue calculation unit 33, a total cost calculation unit 34, a total revenue calculation unit 35, and a constraint check / revenue improvement unit 36. . performance The computing device 21 operates in accordance with these programs to realize the functions of these programs.

[0027] The auxiliary storage device 26 can also store information such as weather forecast data 100, electricity demand forecast data 101, electricity market forecast data 102, hydrogen demand forecast data 103, hydrogen market forecast data 104, inflow forecast data 105, thermal power generator data 106, hydroelectric power generator data 107, water electrolysis device data 108, hydrogen station data 109, and storage battery data 110 as a database.

[0028] The integrated energy plan formulation device 10 may be one or more local servers installed at a specific location, or may be provided as a cloud server in the form of SaaS (Software as a Service), etc. The programs shown in Fig. 1B and data required for their execution may be stored in a non-transitory storage medium. (2) Integrated energy planning function

[0029] Next, we will explain the integrated energy planning function of the integrated energy planning device 10. This integrated energy planning function creates an integrated plan of a power generation plan, a hydrogen generation plan, an electricity buying and selling plan, and a hydrogen buying and selling plan that maximizes total revenue made up of sales revenue, generation costs, and procurement costs of electricity and hydrogen, based on forecast value information on renewable energy power generation, electricity demand, hydrogen demand, and market prices, and information on asset specifications for generating electricity and hydrogen.

[0030] 2A and 2B are software configuration diagrams of the integrated energy plan development device 10 relating to the integrated energy plan development function. Each function will be described in detail below.

[0031] 2A, the renewable energy power generation amount prediction unit 54 performs processing to predict the amount of renewable energy power generation within an area using weather forecast data 100. Various methods are known for predicting the amount of PV power generation or wind power generation based on weather forecasts, and the amount of renewable energy power generation within an area can be predicted by any method selected from these methods. Details of these methods will be omitted here.

[0032] The planning unit 31 uses the electricity demand forecast data 101, hydrogen demand forecast data 103, electricity market forecast data 102, hydrogen market forecast data 104, inflow forecast data 105, thermal power generator data 106, hydroelectric power generator data 107, water electrolysis device data 108, storage battery data 110, and hydrogen station data 109 to plan schedules for thermal power generation, hydroelectric power generation, storage of storage batteries, hydrogen generation, hydrogen storage, electricity buying and selling, and hydrogen buying and selling. The planning results are stored in a thermal power generation schedule 111, a hydroelectric power generation schedule 112, a storage battery charging and discharging schedule 113, a hydrogen generation schedule 114, a hydrogen storage schedule 115, an electricity buying and selling schedule 116, and a hydrogen buying and selling schedule 117.

[0033] 2B, the energy operation plan assumption unit 32 is a processing unit that assumes or estimates the output of power generators within the community, the charge / discharge amount of storage batteries, the amount of hydrogen generated, the amount of hydrogen stored, the amount of electricity traded with the external market, and the amount of hydrogen traded, in order to formulate an integrated plan. The energy operation plan assumption unit 32 includes a power generator output assumption unit 40, a battery charge / discharge amount assumption unit 41, a hydrogen generation amount assumption unit 42, a hydrogen storage amount assumption unit 43, an electricity trade amount assumption unit 44, and a hydrogen trade amount assumption unit 45.

[0034] The total revenue calculation unit 33 is a processing unit that calculates total revenue by calculating electricity retail sales revenue, hydrogen retail sales revenue, electricity market sales revenue, and hydrogen market sales revenue based on the assumptions of the energy operation plan assumption unit 32. The total revenue calculation unit 33 includes an electricity retail sales revenue calculation unit 46, a hydrogen retail sales revenue calculation unit 47, an electricity market sales revenue calculation unit 48, and a hydrogen market sales revenue calculation unit 49.

[0035] The total cost calculation unit 34 is a processing unit that calculates the total cost by calculating the power generation cost, hydrogen generation cost, electricity market procurement cost, and hydrogen market procurement cost based on the assumptions made by the energy operation plan assumption unit 32. It includes a power generation cost calculation unit 50, a hydrogen generation cost calculation unit 51, an electricity market procurement cost calculation unit 52, and a hydrogen market procurement cost calculation unit 53.

[0036] The total revenue calculation unit 35 is a processing unit that calculates the total revenue based on the calculated total revenue and total cost. The constraint check / revenue improvement unit 36 ​​is a processing unit that checks whether various constraints are satisfied based on the assumptions made by the energy operation plan assumption unit 32, and searches for a new energy operation plan that improves the total revenue based on the calculation result of the total revenue. (3) Various processes related to the integrated energy planning function

[0037] Next, we will explain the details of various processes that are executed by the integrated energy plan formulation device 10 in relation to the integrated energy plan formulation function according to this embodiment. Note that, although the various processes are hereinafter explained as being executed by programs or modules, it goes without saying that in reality, the arithmetic device 21 executes the processes based on the programs or modules.

[0038] 3 is an overall flowchart showing the processing steps for creating an integrated energy plan by the integrated energy plan creation device 10. The renewable energy power generation amount prediction unit 54 of the integrated energy plan creation device 10 executes renewable energy power generation amount prediction (step S100). Next, the plan creation unit 31 sequentially executes the following steps: energy operation plan assumption (step S101), total revenue calculation (step S102), total cost calculation (step S103), total revenue (evaluation function) calculation (step S104), constraint check (S105), predetermined termination condition check (step S106), and adoption of the energy operation plan with the highest evaluation value as the best schedule (step S107).

[0039] When the integrated energy planning process is started, first, the renewable energy power generation amount prediction unit 54 performs a process of predicting the renewable energy power generation amount using the weather forecast data 100 (step S100).

[0040] The weather forecast data 100 stores weather forecast values ​​such as average temperature, average solar radiation, and average wind speed for each area at each time (timestamp) in the format shown in Fig. 9. The renewable energy power generation forecast calculates the predicted solar power generation amount for each time period by multiplying, for example, the installed capacity of solar power generation facilities owned by the power generation company by the predicted solar radiation amount, weighted by a predetermined coefficient.

[0041] Next, the energy operation plan assumption unit 32 assumes the generator output, battery charge / discharge amount, hydrogen generation amount, hydrogen storage amount, electricity trading amount to the external market, and hydrogen trading amount for each time period within the community during a predetermined period (step S101).

[0042] 4 is a flowchart showing details of the energy operation plan assumption (step S101). First, the generator output assumption unit 40 assumes the output of each generator for each time period based on the thermal generator data 106 and the hydroelectric generator data 107 (step S200).

[0043] 15 is an example of thermal power generator data 106, which stores information such as the thermal power generation fuel type, minimum output, maximum output, ramp output, and cost function coefficients for each generator indicated by a generator ID, as well as information on the corresponding area. The output of a thermal power generator among the generators can be assumed by, for example, randomly selecting a value between the minimum output and the maximum output.

[0044] 16 is an example of hydroelectric generator data 107, which stores information such as minimum output, maximum output, ramp output, effective water storage volume, current water storage volume, power generation efficiency, and power generation unit price for each generator indicated by the generator ID, as well as information on the corresponding area. The output of the hydroelectric generator can be assumed for each time period by, for example, randomly selecting a value between the minimum output and the maximum output.

[0045] Returning to Fig. 4, next, the battery charge / discharge amount assumption unit 41 assumes the charge / discharge amount of each battery based on the battery data 110 (step S201). Fig. 18 is an example of the battery data 110, which stores information such as the maximum charge output, maximum discharge output, maximum charge amount, current charge amount, charge cost unit price, and discharge cost unit price for each battery indicated by the battery ID. The battery charge / discharge amount can be assumed, for example, by randomly setting the charge / discharge status for each time period and randomly selecting a value that does not exceed the maximum charge output or maximum discharge output.

[0046] Next, the hydrogen production amount assumption unit 42 estimates the amount of hydrogen produced by the water electrolysis device for each time period based on the water electrolysis device data 108 (step S202). Fig. 17 shows an example of the water electrolysis device data 108, which stores information such as the maximum amount of hydrogen produced, hydrogen production efficiency, and production cost for each water electrolysis device identified by the water electrolysis device ID, as well as information on the corresponding area. The amount of hydrogen produced may be estimated, for example, by randomly selecting a value that does not exceed the maximum amount of hydrogen produced for each time period.

[0047] Next, the hydrogen storage capacity assumption unit 43 estimates the storage capacity for each time period at the hydrogen station based on the hydrogen station data 109 (step S203). Figure 19 shows an example of the hydrogen station data 109, which stores information such as the total hydrogen storage capacity and current hydrogen storage capacity for each hydrogen station identified by its hydrogen station ID, as well as information on the corresponding area. The hydrogen storage capacity can be estimated for each time period by, for example, randomly selecting a value that does not exceed the total hydrogen storage capacity of all hydrogen stations.

[0048] Next, the power trading volume assumption unit 44 assumes the relative power supply volume, spot market sales volume, and spot market procurement volume for each time period based on the power demand forecast data 101. Fig. 10 shows an example of the power demand forecast data 101, which stores the demand forecast value for each area for each time period indicated by a time stamp. The power trading volume can be assumed by randomly setting the relative power supply volume, spot market sales volume, and spot market procurement volume so that, for example, (power demand forecast value for the area to be supplied with power + spot market sales volume) = (relative power supply volume + spot market procurement volume).

[0049] Next, the hydrogen trading volume assumption unit 45 assumes the hydrogen market procurement volume and hydrogen market sales volume for each time period (step S205). The assumption of the hydrogen trading volume may be made by randomly setting the hydrogen market procurement volume and hydrogen market sales volume for each time period, for example, so that the hydrogen market procurement volume < the assumed total hydrogen storage volume of the hydrogen station and the hydrogen market sales volume = the assumed hydrogen production volume - the assumed total hydrogen storage volume.

[0050] Through the above processing, an energy operation plan can be estimated by estimating the generator output, battery charge / discharge amount, hydrogen generation amount, hydrogen storage amount, electricity purchase / sale amount to external markets, and hydrogen purchase / sale amount to external markets for each time period within a community (area) for a specified period.

[0051] Next, the total income calculation unit 33 calculates the total income to be generated based on the assumed energy operation plan (step S102).

[0052] FIG. 5 is a flowchart showing the details of the processing procedure for calculating the total income of the assumed energy management plan (step S102).

[0053] When calculation of the total revenue for the energy operation plan is started, first, the electricity retail sales revenue calculation unit 46 performs a process of calculating the electricity retail sales revenue based on the electricity retail sales price and the above-mentioned electricity demand forecast value (step S300).

[0054] Specifically, first, the electricity retail sales revenue calculation unit 46 references the above-mentioned electricity demand forecast data 101 to extract the electricity demand forecast value for each time period in the electricity supply area. It also references the electricity market forecast data 102 to extract the retail sales price for each time period. Fig. 12 is an example of the electricity market forecast data 102, which stores the retail sales price at which electricity retailers sell to consumers and the predicted spot market price for each time period indicated by a time stamp. Next, as shown in Equation 1, electricity retail sales revenue is calculated by multiplying the electricity demand forecast value for each time period by the retail sales price and summing the results for all time periods.

[0055]

number

[0056] Here, income_powerretail represents the electricity retail sales income, demand_power represents the predicted electricity demand value, and serviceFee_power represents the electricity retail sales price.

[0057] Next, the hydrogen retail sales revenue calculation unit 47 performs a process to calculate hydrogen retail sales revenue based on the hydrogen retail sales price and the above-mentioned hydrogen demand forecast value (step S301). Specifically, first, the hydrogen demand forecast value for each time period in the hydrogen supply target area is extracted by referring to the above-mentioned hydrogen demand forecast data 103. The hydrogen retail sales price for each time period is also extracted by referring to the hydrogen market forecast data 104. Figure 11 is an example of the hydrogen demand forecast data 103, which stores the demand forecast value for each hydrogen station for each time period indicated by a timestamp, and information on the area associated with the hydrogen station.

[0058] Figure 13 is an example of hydrogen market forecast data 104, which stores the retail hydrogen sales price sold by hydrogen retailers to consumers for each time period indicated by a timestamp, as well as the predicted hydrogen prices for each hydrogen market and external community. Next, as shown in Equation 2, hydrogen retail sales revenue is calculated by multiplying the hydrogen demand forecast value for each time period by the above-mentioned retail hydrogen sales price and summing the total for all time periods.

[0059]

number

[0060] where income_hydroretail is hydrogen retail sales revenue, demand_hydro represents the hydrogen demand forecast value, and serviceFee_hydro represents the hydrogen retail sales price.

[0061] Next, the electricity market sales revenue calculation unit 48 performs a process of calculating the electricity market sales revenue based on the predicted spot market price and the assumed spot market sales volume (step S302). Specifically, first, the predicted spot market price value for each time slot is extracted by referring to the electricity market forecast data 102. Next, as shown in Equation 3, the electricity market sales revenue is calculated by multiplying the predicted spot market price value for each time slot by the assumed spot market sales volume and then summing the products for all time slots.

[0062]

number

[0063] Here, income_powermarket represents electricity market sales income, sale_spotmarket represents spot market sales volume, and spotPrice represents spot market price.

[0064] Next, the hydrogen market sales income calculation unit 49 performs a process to calculate hydrogen market sales income based on the predicted hydrogen market price and the assumed hydrogen market sales volume (step S303). Specifically, first, the hydrogen market price predicted value for each time slot is extracted by referring to the hydrogen market forecast data 104. Next, as shown in Equation 4, the hydrogen market sales income is calculated by multiplying the predicted hydrogen market price for each time slot by the assumed hydrogen market sales volume and then summing the results for all time slots.

[0065]

number

[0066] Here, income_hydromarket represents hydrogen market sales income, sale_hydromarket represents hydrogen market sales volume, and hydrogenPrice represents hydrogen market price.

[0067] Next, the total income calculation unit 33 performs a process of adding up all of the calculated incomes (step S304). Specifically, as shown in Equation 5, the total income is calculated by adding up the electricity retail sales income, hydrogen retail sales income, electricity market sales income, and hydrogen market sales income. TotalIncome represents the total income.

[0068]

number

[0069] Next, the total cost calculation unit 34 calculates the total cost to be incurred based on the assumed energy management plan (step S103). Fig. 6 is a flowchart showing the details of the processing procedure for calculating the total cost of the assumed energy management plan (step S103).

[0070] When calculation of the total cost of the energy operation plan starts, first, the power generation cost calculation unit 50 performs a process to calculate the power generation cost based on the assumed generator output and generator data (step S400). Specifically, first, the thermal power generator data 106 is referenced to extract the cost function coefficients of each thermal power generator in the power supply target area. Then, using the cost function coefficients (a, b, c) and the assumed output of the thermal power generator, the cost required for operation in each time period is calculated using Equation 6.

[0071]

number

[0072] Here, fuel_cost is the fuel cost, power(u,t) is the output of thermal power generator u at time t, and ther is the set of thermal power generators in the power supply area.

[0073] Next, the power generation cost calculation unit 50 extracts the power generation cost of each hydroelectric generator in the power supply area by referring to the hydroelectric generator data 107. Then, using the power generation cost and the output of the hydroelectric generator assumed above, it calculates the cost required for operation in each time period using Equation 7.

[0074]

number

[0075] Here, water_cost is the cost of hydroelectric power generation, costrate_water is the unit cost of power generation, power(u,t) is the output of hydroelectric generator u at time t, and wtr is the set of hydroelectric generators in the power supply area.

[0076] Next, the power generation cost calculation unit 50 calculates the power generation cost (cost_generation) by adding up the calculated thermal power generation cost and hydroelectric power generation cost for all time periods as shown in Equation 8.

[0077]

number

[0078] Next, the hydrogen generation cost calculation unit 51 performs a process to calculate the hydrogen generation cost based on the assumed hydrogen generation amount and the water electrolysis device data (step S401). Specifically, the hydrogen generation cost calculation unit 51 first extracts the unit generation cost of the water electrolysis device by referencing the water electrolysis device data 108. Then, using the unit generation cost and the assumed hydrogen generation amount, the cost of hydrogen generation for all time periods is calculated using Equation 9.

[0079]

number

[0080] Here, cost_hydrogene indicates the cost of hydrogen generation, costrate_genehydro indicates the unit cost of hydrogen generation, and generation_hydro indicates the amount of hydrogen generated.

[0081] Next, the electricity market procurement cost calculation unit 52 performs a process to calculate the electricity market procurement cost based on the assumed spot market procurement amount and spot market data (step S402). Specifically, first, the electricity market forecast data 102 is referenced to extract a spot market price forecast value. Then, using the spot market price forecast value and the assumed spot market procurement amount, the procurement cost for all time periods is calculated using Equation 10.

[0082]

number

[0083] Here, cost_powermarket represents the electricity market procurement cost, supply_spotmarket represents the spot market procurement amount, and spotPrice represents the spot market price.

[0084] Next, the hydrogen market procurement cost calculation unit 53 performs a process to calculate the hydrogen market procurement cost based on the assumed hydrogen market procurement volume and hydrogen market data (step S403). Specifically, first, the hydrogen market forecast data 104 is referenced to extract the predicted hydrogen market price. Then, using the predicted hydrogen market price and the assumed hydrogen market procurement volume, the cost required for procurement for all time periods is calculated using Equation 11.

[0085]

number

[0086] Here, cost_hydromarket represents the hydrogen market procurement cost, supply_hydromarket represents the hydrogen market procurement amount, and hydrogenPrice represents the hydrogen market price.

[0087] Next, the total cost calculation unit 34 performs a process of adding up all of the calculated costs (step S404). Specifically, as shown in Equation 12, the total cost is calculated by adding up the power generation cost, hydrogen generation cost, electricity market procurement cost, and hydrogen market procurement cost.

[0088]

number

[0089] When the battery charging / discharging cost is taken into consideration, the battery charging / discharging cost may be calculated using the unit charging cost and unit discharging cost information in the battery data 110 and the assumed battery charging / discharging amount as described above, using Equation 13, and added to the total cost.

[0090]

number

[0091] power_charge represents the amount of charging power, costrate_charge represents the unit cost of charging, power_discharge represents the amount of discharging power, and costrate_discharge represents the unit cost of discharging.

[0092] Next, the total profit calculation unit 35 calculates the total profit based on the calculated total income and total cost using Equation 14 (step S104).

[0093]

number

[0094] Next, the constraint check / profit improvement unit 36 ​​checks whether the assumed energy operation plan satisfies the constraints that must be met in operation (step S105).

[0095] Figure 28 is a conceptual diagram of the inter-plan constraints for the generation, storage, and trading of electricity and hydrogen in an energy operation plan. In the constraint check process, the consistency of the energy operation plan is ensured by checking whether the required amount of electricity matches the amount of supplied electricity for the renewable energy power generation plan 701, thermal power generation plan 702, hydroelectric power generation plan 703, battery charge / discharge plan 704, power trading plan 706, and hydrogen generation plan in the hydrogen generation and storage plan 705. Similarly, the consistency of the energy operation plan is ensured by checking whether the required amount of hydrogen matches the amount of supplied hydrogen for the hydrogen generation and storage plan 705 and hydrogen trading plan 707.

[0096] FIG. 7 is a flowchart showing the details of the processing procedure for checking constraints on the assumed energy operation plan (step S105). Constraint checking avoids energy plans that impose a heavy execution load. When constraint checking begins, first, a process is performed to check the power supply and demand matching constraint based on the predicted renewable energy power generation amount and the assumed energy operation plan (step S501). Specifically, it is checked whether Formulas 15 and 16 are satisfied for all time periods for the predicted renewable energy power generation amount, each generator output, relative power supply amount, battery charge / discharge amount, hydrogen generation amount, and spot market procurement / sale amount of the assumed energy operation plan.

[0097]

number

[0098]

number

[0099] Formula 15 represents a constraint equation showing that the input and output of power at the power generation company 514 in Fig. 27 are consistent. Here, power_pv represents the predicted amount of solar power generation, power_wind represents the predicted amount of wind power generation, relativesupply_power represents the relative power supply, and efficiency_hydro represents the efficiency of hydrogen generation.

[0100] Formula 16 represents a constraint equation showing that the input and output of power at the power retailer 511 in Fig. 27 are consistent. Here, supply_spotmarket represents the spot market procurement amount, and demand_power represents the predicted value of the power demand.

[0101] Next, a process is performed to check the hydrogen supply and demand matching constraint based on the assumed energy operation plan (step S502). Specifically, it is checked whether Formulas 17 and 18 are satisfied for all time periods for the predicted hydrogen demand, hydrogen storage amount at the hydrogen station, initial hydrogen storage amount, and hydrogen production amount in the assumed energy operation plan.

[0102]

number

[0103]

number

[0104] Equation 17 represents a constraint equation that indicates that the total hydrogen storage capacity of all hydrogen stations 527 of the hydrogen retailer 512 in Figure 27 is equal to or greater than the predicted hydrogen demand value throughout the entire time period, i.e., that the required amount can always be supplied to consumers. Here, hydrostored is the hydrogen storage capacity of the hydrogen station 527.

[0105] Formula 18 represents a constraint equation that indicates that the total storage capacity of the hydrogen station 527 of the hydrogen retailer 512 in Figure 27 will be the value obtained by adding the difference between past hydrogen input (hydrogen production volume - hydrogen market sales volume + hydrogen market procurement volume) and output (predicted hydrogen demand volume) to the initial hydrogen storage capacity for all time periods during the planning period. Here, hydrostored_now is the initial hydrogen storage capacity of the hydrogen station 527.

[0106] Next, a process is performed to check the operational constraints of each asset based on the assumed energy operation plan (step S503). Specifically, it is checked whether the assumed energy operation plan satisfies the constraints on the specifications of each piece of equipment, such as each generator, storage battery, water electrolysis device, and hydrogen station. This avoids an energy plan with an excessive execution load. The constraints of each asset may be, for example, the following mathematical formula:

[0107]

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[0108]

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[0109]

number

[0110]

number

[0111]

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[0112]

number

[0113]

number

[0114]

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[0115]

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[0116]

number

[0117] Equation 19 represents a constraint that indicates that the output of the thermal and hydroelectric generators does not exceed the maximum output specified for each generator, where power(u,t) is the output of generator u at time t, and power_max(u) is the maximum output of the generator.

[0118] Equation 20 shows the constraint that the capacity of the reservoir that stores water for hydroelectric power generation must be within the upper and lower operational limits. Here, water_stored(t) is the water storage volume at time t, waterstored_min is the minimum water storage volume of the reservoir, and waterstored_max is the maximum water storage volume of the reservoir.

[0119] Equation 21 represents a constraint equation indicating that the water storage volume of the reservoir mentioned above is a value obtained by adding the difference between past water inflow and outflow to the initial water storage volume for all time periods in the planning period. Here, waterstored_now is the initial water storage volume, inflow(tt) is the amount of water inflow into the reservoir for each time period, and water_discharge(tt) is the amount of water discharged from the reservoir for each time period. Information on the inflow volume is stored in inflow volume forecast data 105. Figure 14 shows an example of the inflow volume forecast data 105. The inflow volume forecast data 105 stores the predicted flow volume value for each reservoir for each hour and information on the hydroelectric generators associated with the reservoirs.

[0120] Equation 22 is a constraint equation that shows that the amount of hydroelectric power generated is the product of the water discharge from the reservoir and the efficiency of the hydroelectric generator, where efficiency_water(u) is the power generation efficiency of generator u.

[0121] Equation 23 represents a constraint that indicates that the output of the water electrolysis device must not exceed the maximum hydrogen generation amount specified in the specifications, where generation_hydro(t) is the amount of hydrogen generated at time t, and generation_hydro_max is the maximum generation amount of the water electrolysis device.

[0122] Equation 24 represents a constraint equation that indicates that the hydrogen storage capacity of a hydrogen station is within the upper and lower operational limits. Here, hydrostored(t) is the hydrogen storage capacity at time t, and hydrostored_max is the maximum hydrogen storage capacity of the hydrogen station.

[0123] Equation 25 represents a constraint equation that indicates that the capacity of the storage battery is within the upper and lower operational limits. Here, SoC(t) is the remaining capacity of the storage battery at time t, and powerstored_max is the maximum charge capacity of the storage battery.

[0124] Equation 26 represents a constraint that indicates that the charging output of the storage battery does not exceed the maximum charging output specified, where power_charge(t) is the charge amount at time t, and charge_max is the maximum charging output of the storage battery.

[0125] Equation 27 represents a constraint that indicates that the discharge output of the storage battery does not exceed the maximum discharge output specified, where power_discharge(t) is the discharge amount at time t, and discharge_max is the maximum discharge output of the storage battery.

[0126] Formula 28 shows the constraint that the remaining battery power is the sum of the difference between the past charge and discharge amounts and the initial remaining battery power for all time periods during the planning period. Here, powerstored_now is the initial remaining battery power.

[0127] Next, using the calculated total profit as an evaluation function and based on the results of the constraint check, steps S101 to S105 are repeated until a specified termination condition is met to search for an energy management plan that improves the evaluation function (step S106). This allows a more appropriate energy management plan to be formulated. This search may be performed by repeating the process of generating a new energy management plan that improves the evaluation function and satisfies various constraints, using, for example, nonlinear programming in mathematical optimization, metaheuristic methods such as a greedy method or a genetic algorithm.

[0128] If a specified termination condition is reached in step S106, the energy operation plan with the highest evaluation value in the search process is adopted as the best schedule (step S107).The results are then stored in the thermal power generation schedule 111, hydroelectric power generation schedule 112, battery charge / discharge schedule 113, hydrogen generation schedule 114, hydrogen storage schedule 115, power buying / selling schedule 116, and hydrogen buying / selling schedule 117, and the process ends.

[0129] Figure 20 shows an example of data for the thermal power generation schedule 111, which stores the average power generation amount and power generation cost for each time period for each generator. Figure 21 shows an example of data for the hydroelectric power generation schedule 112, which stores the average power generation amount, power generation cost, discharge amount of the associated reservoir, and water storage amount for each time period for each generator.

[0130] Fig. 22 shows an example of data for the battery charge / discharge schedule 113, which stores the charge / discharge power amount, remaining charge amount, and charge / discharge cost for each time period of each battery. Fig. 23 shows an example of data for the hydrogen production schedule 114, which stores the hydrogen production amount and production cost for each time period of each water electrolysis device.

[0131] Figure 24 shows an example of data for the hydrogen storage schedule 115, which stores the hydrogen replenishment amount, hydrogen release amount, and hydrogen storage amount for each time period of each water electrolysis device. Figure 25 shows an example of data for the electricity buying and selling schedule 116, which stores the relative electricity supply amount, spot market procurement amount, spot market sales amount, electricity retail sales amount, spot market procurement cost, spot market sales income, and electricity retail sales income for each time period.

[0132] Figure 26 is an example of data for the hydrogen buying and selling schedule 117, which stores the consumer hydrogen sales volume, hydrogen market procurement volume, hydrogen market sales volume, hydrogen retail sales revenue, hydrogen market sales revenue, and hydrogen market procurement cost for each time period.

[0133] The energy operation plan created as described above may be presented to the community energy operator, power generation company, electricity retailer, and hydrogen retailer by the output device 24 of the integrated energy plan creation device 10. The information presented by the output device 24 is created by the information presentation unit 55.

[0134] 8 is a flowchart showing the details of the processing procedure of the information presentation unit 55. When the processing starts, first, the planning results are obtained from the thermal power generation schedule 111, the hydroelectric power generation schedule 112, the battery charge / discharge schedule 113, the hydrogen generation schedule 114, the hydrogen storage schedule 115, the power buying / selling schedule 116, and the hydrogen buying / selling schedule 117 (step S600).

[0135] Next, total income is calculated based on the income information of the acquired schedule (step S601). The total income may be calculated by adding up the electricity retail sales income, hydrogen retail sales income, electricity market sales income, and hydrogen market sales income, as shown in Equation 5. The electricity retail sales income, hydrogen retail sales income, electricity market sales income, and hydrogen market sales income may each be calculated by adding up the income for each time period of the acquired schedule for all time periods.

[0136] Next, the total cost is calculated based on the cost information of the acquired schedule (step S602). The total cost may be calculated by adding up the power generation cost, hydrogen generation cost, electricity market procurement cost, and hydrogen market procurement cost, as shown in Equation 12. The power generation cost, hydrogen generation cost, electricity market procurement cost, and hydrogen market procurement cost may each be calculated by adding up the costs for each time period of the acquired schedule across all time periods.

[0137] Next, the total profit is calculated by subtracting the total cost from the calculated total revenue (step S603). Then, a user interface display screen of the planning results is created based on each acquired schedule and the calculated revenue, cost, and profit information (step S604). The account management unit 30 may change the display content of the user interface display screen of the planning results according to the role of the logged-in user.

[0138] Figure 29 is an example of a screen displayed on the user interface of a community energy operator. The user interface may display the procurement and supply amounts for each time period as a power generation plan, electricity retail plan, and hydrogen retail plan. The procurement amount for the power generation plan may be displayed as detailed information such as the amount of hydroelectric power generation and the amount of thermal power generation.

[0139] The supply amount in the power generation plan may be displayed as breakdown information such as the hydrogen conversion amount and the spot market sales amount. The procurement amount in the electricity retail plan may be displayed as breakdown information such as the relative procurement amount and the spot market procurement amount. The supply amount in the electricity retail plan may be displayed as breakdown information such as the consumer sales amount.

[0140] The procurement volume for the hydrogen retail plan may be displayed as breakdown information such as the amount procured locally and the amount procured externally. The supply volume for the hydrogen retail plan may be displayed as breakdown information such as the amount replenished at hydrogen stations. The user interface may also display information on sales revenue, costs, and profits for each of the power generation plan, electricity retail plan, and hydrogen retail plan, as well as information on the total profit, total revenue, and total cost for all of these plans.

[0141] Figure 30 is an example of a screen image displayed on the user interface of a power generation company. The user interface may display the procurement amount and supply amount for each time period as a power generation plan. The procurement amount in the power generation plan may be displayed as detailed information such as the amount of hydroelectric power generation and the amount of thermal power generation. The supply amount in the power generation plan may be displayed as detailed information such as the amount of hydrogen conversion and the amount of spot market sales. The user interface may also display information on sales revenue, costs, and profits for the power generation plan.

[0142] Figure 31 is an example of a screen image displayed on the user interface of an electricity retailer. The user interface may display the procurement amount and supply amount for each time period as an electricity retail plan. The procurement amount in the electricity retail plan may be displayed with information broken down into relative procurement amount, spot market procurement amount, etc. The supply amount in the electricity retail plan may be displayed with information broken down into customer sales amount, etc. The user interface may also display information on sales revenue, costs, and profits in the electricity retail plan.

[0143] Figure 32 is an example of a screen image displayed on the user interface of a hydrogen retailer. The user interface may display the procurement and supply amounts for each time period as part of the hydrogen retail plan. The procurement amount for the hydrogen retail plan may be displayed with breakdown information such as the amount procured locally and the amount procured externally. The supply amount for the hydrogen retail plan may be displayed with breakdown information such as the amount replenished at hydrogen stations. The user interface may also display information on sales revenue, costs, and profits for the hydrogen retail plan.

[0144] As described above, the integrated energy planning device of this embodiment creates an integrated plan of a power generation plan, a hydrogen generation plan, a power purchase and sale plan, and a hydrogen purchase and sale plan that maximizes total revenue made up of sales revenue, generation costs, and procurement costs of electricity and hydrogen, based on forecast value information regarding renewable energy power generation, power demand, hydrogen demand, and market prices, as well as information regarding asset specifications.

[0145] This configuration allows for accurate evaluation of total revenue from the procurement, production, and sale of electricity and hydrogen, thereby improving revenue throughout the evaluation period.As one specific example, it is possible to not only generate hydrogen using surplus renewable energy power generation, but also to plan operations such as power generation, including thermal and hydroelectric power generation, hydrogen production, and storage during periods when electricity procurement prices are low (hydrogen production costs are low), in anticipation of periods when the selling price of hydrogen will rise.

[0146] Furthermore, the effect of the planning can be automatically calculated as an evaluation value by a computer, and a plan that improves the evaluation value can be automatically created by a computer, thereby reducing the calculation time required to create an energy operation plan.

[0147] In this example, the case where liquid hydrogen is produced in a water electrolysis device and transported in a liquefied hydrogen trailer or the like has been described as a hydrogen operation. However, the application field is not limited to this, and it goes without saying that the present invention can be widely applied to a wide range of hydrogen production, procurement, and supply plans using electricity, such as producing hydrogen gas in a water electrolysis device and transporting it in the form of cylinders or bundled cartons in a hydrogen trailer or the like.

[0148] Furthermore, only a portion of the information referred to in the energy planning of this embodiment may be referenced, or other information may be referenced. For example, electricity trading on external markets or hydrogen trading with external business partners may not be taken into account, or hydrogen stations or storage batteries may not be taken into account. Furthermore, sales of hydrogen and electricity to consumers may not be referenced.

[0149] The present invention is not limited to the above-described embodiments, but includes various modifications and equivalent configurations within the spirit and scope of the appended claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to configurations including all of the described configurations. Furthermore, part of the configuration of one embodiment may be replaced with the configuration of another embodiment. Furthermore, the configuration of another embodiment may be added to the configuration of one embodiment. Furthermore, part of the configuration of each embodiment may be added, deleted, or replaced with other configurations.

[0150] Furthermore, the aforementioned configurations, functions, processing units, processing means, etc. may be realized in part or in whole in hardware, for example by designing them as integrated circuits, or may be realized in software by having a processor interpret and execute a program that realizes each function.

[0151] Information such as programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or in a recording medium such as an IC card, an SD card, or a DVD.

[0152] In addition, the information lines shown are those that are considered necessary for explanation, and do not necessarily show all the information lines that are necessary for implementation. In reality, it can be considered that almost all components are interconnected. [Explanation of symbols]

[0153] 10...Integrated energy planning device, 11...Communication network, 12...Electronic terminal (planning), 13...Electronic terminal (plan viewing), 14...Electronic terminal (plan viewing), 15...Electronic terminal (plan viewing), 21...Calculation device, 22...Memory, 23...Input device, 24...Output device, 25...Communication device, 26...Auxiliary storage device, 30...Account management unit, 31...Planning unit, 32...Energy operation plan assumption unit, 33...Total revenue calculation unit, 34...Total cost calculation unit, 35 ...total revenue calculation unit, 36...constraint check / revenue improvement unit, 54...renewable energy power generation forecast unit, 55...information presentation unit, 100...weather forecast data, 101...electricity demand forecast data, 102...electricity market forecast data, 103...hydrogen demand forecast data, 104...hydrogen market forecast data, 105...inflow forecast data, 106...thermal power generator data, 107...hydroelectric power generator data, 108...water electrolysis device data, 109...hydrogen station data, 110...storage battery data

Claims

1. An apparatus for supporting integrated energy management, comprising: a storage device that stores a predicted value of the demand for electricity in a predetermined area, a predicted value of the demand for hydrogen in the predetermined area, and information on the costs of power generation and hydrogen generation; and a computing device that acquires information on prices in an external electricity market, and formulates and presents an integrated energy plan including a power generation plan, a hydrogen generation plan, and a power procurement and sales plan in the external electricity market based on information on the power generation and hydrogen generation costs, the power procurement cost from the external electricity market, and the unit price of power sales to the external electricity market, under conditions where the amount of power required for hydrogen generation based on the predicted value of power demand and the predicted value of hydrogen demand can be supplied and the predicted value of hydrogen demand can be supplied.

2. An apparatus for supporting integrated energy management, comprising: a storage device that stores a predicted value of the demand for electricity in a predetermined area, a predicted value of the demand for hydrogen in the predetermined area, and information on the costs of power generation and hydrogen generation; and a computing device that acquires information on external trading prices for hydrogen, and formulates and presents an integrated energy plan including a power generation plan, a hydrogen generation plan, and a hydrogen procurement and sales plan with external business partners based on information on the power generation and hydrogen generation costs, the hydrogen procurement costs from external business partners, and information on the hydrogen sales unit price to said external business partners, under conditions where the amount of power required for hydrogen generation based on the predicted power demand and the predicted hydrogen demand can be supplied and the predicted hydrogen demand can be supplied.

3. 3. The device according to claim 1 or 2, the integrated energy plan includes a hydrogen replenishment plan for a hydrogen storage facility for supplying hydrogen to consumers; The computing device formulates the integrated energy plan under the condition that the amount of hydrogen stored in the specified area is equal to or greater than a predicted hydrogen demand amount for a specified period of time.

4. The device according to claim 1, The integrated energy plan further includes a hydrogen procurement and sales plan with external business partners; The computing device further acquires information on external trading prices of hydrogen, and formulates the integrated energy plan based on information on the hydrogen procurement cost from the external supplier and the hydrogen sales unit price to the external supplier.

5. 5. The apparatus of claim 4, the integrated energy plan includes a hydrogen replenishment plan for a hydrogen storage facility for supplying hydrogen to consumers and a charge / discharge plan for a storage battery; The calculation device formulates the integrated energy plan under the condition that the amount of hydrogen stored in the specified area is equal to or greater than the predicted hydrogen demand value for a specified period of time, and the amount of electricity stored in the storage battery is within a specified range for the capacity of the storage battery.

6. 5. The apparatus of claim 4, The computing device a function including a first term indicating the total sales revenue of the electricity and hydrogen, a second term indicating the total costs for generating the electricity and hydrogen, and a third term indicating the total procurement costs of the electricity and hydrogen; An apparatus for searching for and formulating the integrated energy plan that improves the value of the function by repeatedly assuming combinations of power generation and hydrogen generation, and procurement and sales of power and hydrogen, and evaluating the function.

7. The apparatus of claim 1, 2 or 4, The computing device creates a user interface display screen tailored to the role of the user based on the user's account information.

8. A system for supporting integrated energy management, comprising: An apparatus for supporting integrated energy management and a terminal connected to the apparatus via a network, The device comprises: a storage device that stores a predicted value of the demand for electricity in a predetermined area, a predicted value of the demand for hydrogen in the predetermined area, and information on the costs of power generation and hydrogen generation; a computing device that acquires information on prices in an external electricity market, and formulates an integrated energy plan including a power generation plan, a hydrogen generation plan, and a power procurement and sales plan in the external electricity market based on information on the power generation and hydrogen generation costs, the power procurement cost from the external electricity market, and the unit price of power sales to the external electricity market under conditions where the amount of power required for hydrogen generation based on the predicted value of power demand and the predicted value of hydrogen demand can be supplied and the predicted value of hydrogen demand can be supplied, and transmits information on the integrated energy plan to the terminal; The terminal displays information about the integrated energy plan.

9. A system for supporting integrated energy management, comprising: An apparatus for supporting integrated energy management and a terminal connected to the apparatus via a network, The device comprises: a storage device that stores a predicted value of the demand for electricity in a predetermined area, a predicted value of the demand for hydrogen in the predetermined area, and information on the costs of power generation and hydrogen generation; a computing device that acquires information on external trading prices for hydrogen, and formulates an integrated energy plan including a power generation plan, a hydrogen generation plan, and a hydrogen procurement and sales plan with external suppliers based on information on the power generation and hydrogen generation costs, the hydrogen procurement costs from external suppliers, and information on the hydrogen sales unit price to the external suppliers, under conditions where the amount of power required for hydrogen generation based on the predicted value of power demand and the predicted value of hydrogen demand can be supplied and the predicted value of hydrogen demand can be supplied, and transmits information on the integrated energy plan to the terminal; The terminal displays information about the integrated energy plan.

10. 1. A method for supporting integrated energy management in an apparatus, comprising: The device stores a predicted value of electricity demand in a predetermined area, a predicted value of hydrogen demand in the predetermined area, and information on the costs of power generation and hydrogen production; The method comprises: The device obtains information on prices in an external electricity market; The device determines the amount of electricity required for hydrogen production based on the predicted value of hydrogen demand, The device is capable of supplying the predicted power demand and the amount of power required for hydrogen production; and Under conditions where the predicted demand for hydrogen can be supplied, the cost of power generation and hydrogen production is calculated as follows: based on the information on the electricity procurement cost from the external electricity market and the electricity sales unit price to the external electricity market, develop an integrated energy plan including a power generation plan, a hydrogen generation plan, and an electricity procurement and sales plan in the external electricity market; The device presents the developed integrated energy plan.

11. 1. A method for supporting integrated energy management in an apparatus, comprising: The device stores a predicted value of electricity demand in a predetermined area, a predicted value of hydrogen demand in the predetermined area, and information on the costs of power generation and hydrogen production; The method comprises: The device acquires information on the external trading price of hydrogen, The device determines the amount of electricity required for hydrogen production based on the predicted value of hydrogen demand, The device is capable of supplying the predicted power demand and the amount of power required for hydrogen production; and Under conditions where the predicted demand for hydrogen can be supplied, the cost of power generation and hydrogen production is calculated as follows: based on the information on the cost of procuring hydrogen from external suppliers and the unit price of selling hydrogen to said external suppliers, develop an integrated energy plan including a power generation plan, a hydrogen production plan, and a hydrogen procurement and sales plan with said external suppliers; The device presents the developed integrated energy plan.

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