Device, 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 electric power and hydrogen. [Background technology]

[0002] In recent years, in an effort to realize a decarbonized society, there has been an increasing need 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, primarily from the national and local governments.

[0003] When utilizing renewable energy, it is difficult to secure a sufficient supply to meet the demand within a region using only renewable energy, so it is common to use it in conjunction with other power generation methods such as thermal power plants inside and outside the region to procure electricity that can supply the demand for 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 storage batteries and pumped storage power plants, used to generate hydrogen as described below, or 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 using a device called a water electrolysis device, which uses electrical energy to electrolyze water, to generate hydrogen using electricity within the region. 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, JP 2006-331229 A (Patent Document 1), JP 2020-54085 A (Patent Document 2), etc. 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 electricity asset management types, 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 "an electricity transmission plan is formulated based on a predicted value of surplus electricity, which is based on the difference between the predicted value of electricity generated by renewable energy and the predicted value of electricity demand, and the production and storage of hydrogen, the charge amount of the storage battery, and the electricity generation amount of the fuel cell are controlled based on the comparison result between the predicted value of surplus electricity 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] JP 2006-331229 A [Patent Document 2] JP 2020-54085 A 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 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 more effectively and efficiently manage energy, including electricity and hydrogen, within communities such as municipalities, technology that supports integrated energy planning from a broader perspective of electricity and hydrogen is desirable. [Means for solving the problem]

[0011] In order to achieve the above-mentioned object, a representative embodiment 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 develop 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 predicted value of electricity demand and the amount of electricity required for hydrogen production based on the predicted value of hydrogen demand can be supplied, and the predicted value of hydrogen demand can be supplied. Effect 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 description of the drawings]

[0013] [Figure 1A] Diagram of the integrated energy planning system [Figure 1B] 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 [Diagram 3] Flowchart showing the processing procedure of the planning section [Figure 4] A flowchart showing the processing procedure of the energy operation plan assumption unit [Diagram 5] Flowchart showing the processing procedure of the total income calculation unit [Figure 6] A flowchart showing the processing procedure of the total cost calculation unit [Figure 7] 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 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 data table for hydroelectric generation schedules [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 [Diagram 25] Example of a data table for the electricity trading schedule [Figure 26] Example of hydrogen purchase and sale schedule [Figure 27] Conceptual diagram of stakeholder relationships and facilities for energy generation, storage, and conversion [Figure 28] Conceptual diagram of planning constraints for electricity and hydrogen generation, storage, and trading [Figure 29] Example of a screen for a community energy operator [Diagram 30] Example screen for power generation companies [Diagram 31] Example screen for electricity retailers [Diagram 32] Screen example for hydrogen retailers DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. One embodiment of the present specification relates to a technology for planning the generation and purchase and sale of electricity and hydrogen. In order to operate electricity and hydrogen efficiently and economically, it is necessary to prepare a plan based on a quantitative evaluation of the overall profit related to the generation, procurement, and sale of electricity and hydrogen, taking into account the equipment status of power generation equipment and hydrogen generation equipment in the region. However, in a system that generates, procures, and supplies both energy sources of electricity and hydrogen, it is difficult to accurately evaluate the total profit consisting of the costs and income in the execution of these operations and to improve the overall profit in the energy operations related to electricity and hydrogen.

[0015] One embodiment of this specification describes an integrated energy planning method capable of planning an operation portfolio consisting of a combination of power generation, hydrogen generation, power trading, and hydrogen trading that maximizes the total revenue consisting of the sales revenue, generation costs, and procurement costs of electricity and hydrogen according to the demand for electricity and hydrogen, market prices, and the constraints of electricity and hydrogen generation and storage devices. Since the total revenue from the procurement, generation, and sale of electricity and hydrogen can be accurately evaluated, the revenue over the entire evaluation period can be improved.

[0016] In the system disclosed in this embodiment, 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 is prepared in a local community where power and hydrogen are operated. The integrated plan is prepared based on forecast value information on the amount of renewable energy power generation, power demand, hydrogen demand, and market price in the local community, and information on asset specifications including equipment specifications for power and hydrogen. The system also prepares 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 composed of sales revenue, generation costs, and procurement costs of power and hydrogen.

[0017] Fig. 27 shows a schematic diagram of the relationships among stakeholders in this embodiment and the facilities owned by each business operator related to energy generation, storage, and conversion. Here, a local community 510 includes, for example, general consumers 513 who use electricity and hydrogen, a power generation business operator 514 that supplies electricity or hydrogen to the same area, a power retailer 511, a hydrogen retailer 512, and a community energy manager 515 such as a local government headquarters that manages and supervises these businesses. In the following, for ease of explanation, it is assumed that there is only one power generation business operator 514, one power retailer 511, and one hydrogen retailer 512 in one community 510. The number of each business operator depends on the configuration of the community.

[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 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. The present embodiment can be applied to either hydrogen gas or liquid hydrogen, but here we assume that 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 in 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] Furthermore, hydrogen generated by the water electrolysis device 526 is supplied to a hydrogen retailer 512 in the community 510, and is also sold to hydrogen retailers in other communities and external hydrogen suppliers 532, such as the hydrogen trading market. The power retailer 511 procures electricity from a power generation company 514 or the power 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 from the power generation company 514 and hydrogen procured from external suppliers 532, and supplies hydrogen to FCVs and home fuel cells of general consumers 513. The general consumers 513 pay fees for the purchased electricity and hydrogen to the power generation company 514 and the hydrogen retailer 512.

[0020] The community energy operator 515 manages the activities of the power generation company 514, the power retailer 511, and the hydrogen retailer 512, and also provides plans for those activities. The community energy operator 515 uses an integrated energy planning device according to one 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 showing an example of the configuration of an integrated energy plan making device 10 according to the present embodiment. As shown in Fig. 1A, the integrated energy plan making 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 information input of a target area from the community energy operator and displays the plan making result.

[0022] In the following, one community corresponds to one area. The electronic terminal 13, the electronic terminal 14, and the electronic terminal 15 display the results of planning for power generation, power 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 non-volatile 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. It further includes a calculation device 21 such as a CPU (Central Processing Unit) that executes a program held in the auxiliary storage device 26 by reading it into the memory 22, performs overall control of the device itself, and performs 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. These include an account management unit 30, a plan creation 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 plan formulation unit 31 includes an energy operation plan assumption unit 32, a total income calculation unit 33, a total cost calculation unit 34, a total income calculation unit 35, and a constraint check / income improvement unit 36. The calculation device 21 operates in accordance with these programs to realize the functions of these programs.

[0027] The auxiliary storage device 26 can also hold 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 making 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. In addition, the programs shown in FIG. 1B and data required for executing the programs may be stored in a non-transitory storage medium. (2) Integrated energy planning function

[0029] Next, a description will be given of an integrated energy plan making function of the integrated energy plan making device 10. This integrated energy plan making function makes 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 the total revenue composed of the sales income, generation cost, and procurement cost of electricity and hydrogen, based on forecast value information on renewable energy generation power, electricity demand, hydrogen demand, and market price, and information on asset specifications for generating electricity and hydrogen.

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

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

[0032] The planning unit 31 uses the power demand forecast data 101, hydrogen demand forecast data 103, power 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 battery charge / discharge, hydrogen generation, hydrogen storage, power buying and selling, and hydrogen buying and selling. The plan planning results are stored in a thermal power generation schedule 111, a hydroelectric power generation schedule 112, a storage battery charge / discharge schedule 113, a hydrogen generation schedule 114, a hydrogen storage schedule 115, a power 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 the generators in the community, the charge / discharge amount of the storage battery, 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 generator output assumption unit 40, a storage 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 income calculation unit 33 is a processing unit that calculates total income by calculating electricity retail sales income, hydrogen retail sales income, electricity market sales income, and hydrogen market sales income based on the assumptions of the energy operation plan assumption unit 32. The total income calculation unit 33 includes an electricity retail sales income calculation unit 46, a hydrogen retail sales income calculation unit 47, an electricity market sales income calculation unit 48, and a hydrogen market sales income 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, the hydrogen generation cost, the electricity market procurement cost, and the hydrogen market procurement cost based on the assumptions of 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 profit calculation unit 35 is a processing unit that calculates the total profit based on the calculated total income and total cost. The constraint check / profit 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 profit based on the calculation result of the total profit. (3) Various processes related to the integrated energy planning function

[0037] Next, the contents of various processes executed by the integrated energy plan planning device 10 in relation to the integrated energy plan planning function according to this embodiment will be described. Note that, although the entities that execute the various processes will be described below as programs or modules, it goes without saying that in practice the arithmetic device 21 executes the processes based on the programs or modules.

[0038] 3 is an overall flowchart showing the processing procedure of the integrated energy plan formulation by the integrated energy plan formulation device 10. The renewable energy power generation amount prediction unit 54 of the integrated energy plan formulation device 10 executes renewable energy power generation amount prediction (step S100). Next, the plan formulation unit 31 executes the following in order: energy operation plan assumption (step S101), total income calculation (step S102), total cost calculation (step S103), total income (evaluation function) calculation (step S104), constraint check (S105), predefined 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 by 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 (time stamp) 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 the installed capacity of solar power generation facilities owned by the power generation company by the predicted solar radiation amount value with a predetermined coefficient weighting.

[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 in the community during a specified period (step S101).

[0042] 4 is a flowchart showing details of the energy management 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 the 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 may be assumed by randomly selecting a value between the minimum output and the maximum output, for example.

[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 may 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 storage battery charge / discharge amount assumption unit 41 assumes the charge / discharge amount of each storage battery based on the storage battery data 110 (step S201). Fig. 18 is an example of the storage 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 storage battery indicated by the storage battery ID. The assumption of the storage battery charge / discharge amount may be made, 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 assumes 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 hydrogen production amount, 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 hydrogen production amount may be assumed, for example, by randomly selecting a value that does not exceed the maximum hydrogen production amount for each time period.

[0047] Next, the hydrogen storage amount assumption unit 43 assumes the storage amount for each time period at the hydrogen station based on the hydrogen station data 109 (step S203). Figure 19 is an example of the hydrogen station data 109, which stores information such as the total hydrogen storage amount and current hydrogen storage amount for each hydrogen station identified by a hydrogen station ID, as well as information on the corresponding area. The hydrogen storage amount can be assumed for each time period, for example, by randomly selecting a value that does not exceed the total hydrogen storage amount 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 from the power generation company to the power retailer based on the power demand forecast data 101 (step S204). Fig. 10 is an example of the power demand forecast data 101, which stores the demand forecast value for each area for each time period indicated by the 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 and sale amount on the external market, and hydrogen purchase and sale amount on the external market for each time period within a community (area) over 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 details of the processing procedure for calculating the total income of a hypothetical energy management plan (step S102).

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

[0054] Specifically, first, the electricity retail sales income calculation unit 46 refers to the above-mentioned electricity demand forecast data 101 to extract the electricity demand forecast value for each time period in the electricity supply target area. It also refers to 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 expected spot market price for each time period indicated by a time stamp. Next, as shown in Equation 1, electricity retail sales income is calculated by multiplying the electricity demand forecast value for each time period and the retail sales price and then summing the product for all time periods.

[0055]

number

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

[0057] Next, the hydrogen retail sales income calculation unit 47 performs a process of calculating hydrogen retail sales income based on the hydrogen retail sales price and the above 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 with reference to the above hydrogen demand forecast data 103. The hydrogen retail sales price for each time period is also extracted with reference 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 time stamp, and information on the area associated with the hydrogen station.

[0058] 13 is an example of hydrogen market forecast data 104, which stores the hydrogen retail sales price sold by hydrogen retailers to consumers for each time period indicated by a time stamp, and the predicted hydrogen prices for each hydrogen market and external community, which are external markets. 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 hydrogen retail sales price, and then summing the product for all time periods.

[0059]

number

[0060] Here, income_hydroretail represents electricity 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 income calculation unit 48 performs a process of calculating electricity market sales income based on the predicted spot market price and the assumed spot market sales volume (step S302). Specifically, first, the electricity market forecast data 102 is referenced to extract the spot market price predicted value for each time slot. Next, as shown in Equation 3, the electricity market sales income is calculated by multiplying the spot market price predicted value for each time slot by the assumed spot market sales volume and summing the products for all time slots.

[0062]

number

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

[0064] Next, the hydrogen market sales income calculation unit 49 performs a process of calculating hydrogen market sales income based on the predicted hydrogen market price and the above-mentioned assumed hydrogen market sales volume (step S303). Specifically, first, the hydrogen market price predicted value for each time period 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 value for each time period by the above-mentioned assumed hydrogen market sales volume and then summing the products for all time periods.

[0065]

number

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

[0067] Next, the total income calculation unit 33 performs a process of adding up all the calculated incomes (step S304). Specifically, as shown in Equation 5, the total income is calculated by adding up the electricity retail sales income, the hydrogen retail sales income, the electricity market sales income, and the 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 the calculation of the total cost of the energy operation plan is started, the power generation cost calculation unit 50 first performs a process of calculating 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 coefficients of the cost function of each thermal power generator in the power supply target area. Then, using the coefficients (a, b, c) of the cost function and the assumed output of the thermal power generator, the cost of operation for each time period is calculated according to 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 area to be supplied with electricity.

[0073] Next, the power generation cost calculation unit 50 extracts the power generation cost of each hydroelectric generator in the power supply target 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 of operation for each time period according to Equation 7.

[0074]

number

[0075] Here, water_cost is the cost of hydroelectric power generation, costrate_water is the unit price 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 area to be supplied with electricity.

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

[0077]

number

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

[0079]

number

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

[0081] Next, the electricity market procurement cost calculation unit 52 performs a process of calculating the electricity market procurement cost based on the assumed spot market procurement amount and the 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 above assumed spot market procurement amount, the cost required for procurement for all time periods is calculated according to 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 of calculating the hydrogen market procurement cost based on the assumed hydrogen market procurement volume and hydrogen market data (step S403). Specifically, first, the hydrogen market price prediction value is extracted by referring to the hydrogen market forecast data 104. Then, using the hydrogen market price prediction value and the above assumed hydrogen market procurement volume, the cost required for procurement for all time periods is calculated by 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 the calculated costs (step S404). Specifically, as shown in Equation 12, the total cost is calculated by adding up the power generation cost, the hydrogen generation cost, the electricity market procurement cost, and the hydrogen market procurement cost.

[0088]

number

[0089] In addition, when taking into consideration the charging and discharging costs of the storage battery, the battery charging and discharging costs may be calculated using the information on the unit charging cost and unit discharging cost in the storage battery data 110 and the assumed battery charging and discharging amount described above, according to Equation 13, and added to the total cost.

[0090]

number

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

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

[0093]

number

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

[0095] FIG. 28 is a conceptual diagram of inter-plan constraints for the generation, storage, and buying and selling 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 supplied amount of electricity for the renewable energy power generation plan 701, thermal power generation plan 702, hydroelectric power generation plan 703, battery charge and discharge plan 704, power buying and selling plan 706, and hydrogen generation plan in the hydrogen generation and storage plan 705. Similarly, for hydrogen supply, the consistency of the energy operation plan is ensured by checking whether the required amount of hydrogen matches the supplied amount of hydrogen for the hydrogen generation and storage plan 705 and hydrogen buying and selling 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). The constraint check avoids energy plans with heavy execution loads. When the constraint check is started, first, a process is performed to check the power supply and demand matching constraint based on the renewable energy power generation forecast value and the assumed energy operation plan (step S501). Specifically, it is checked whether Formulas 15 and 16 are satisfied in all time periods for the renewable energy power generation forecast value, each generator output, relative power supply amount, battery charge / discharge amount, hydrogen generation amount, and spot market procurement amount / sale amount of the assumed energy operation plan.

[0097]

number

[0098]

number

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

[0100] Expression 16 represents a constraint equation indicating 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 amount of 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, the amount of hydrogen stored at the hydrogen station, the initial hydrogen storage amount, and the amount of hydrogen generated in the assumed energy operation plan.

[0102]

number

[0103]

number

[0104] Equation 17 represents a constraint equation showing that the total hydrogen storage capacity of all hydrogen stations 527 of the hydrogen retailer 512 in Fig. 27 is equal to or greater than the predicted hydrogen demand value throughout all time periods, i.e., 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 indicating that the total storage capacity of the hydrogen station 527 of the hydrogen retailer 512 in Fig. 27 during all time periods of the planning period is the sum of the initial hydrogen storage capacity and the difference between the past hydrogen input (hydrogen production volume - hydrogen market sales volume + hydrogen market procurement volume) and output (predicted hydrogen demand volume). Here, hydrostored_now is the initial hydrogen storage capacity of the hydrogen station 527.

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

[0107]

number

[0108]

number

[0109]

number

[0110]

number

[0111]

number

[0112]

number

[0113]

number

[0114]

number

[0115]

number

[0116]

number

[0117] Equation 19 represents a constraint equation that indicates that the output of the thermal and hydroelectric generators does not exceed the maximum output of each generator in its specifications, 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 expresses a constraint equation that indicates that the capacity of the reservoir that stores water for hydroelectric power generation is within the upper and lower operational limits, where water_stored(t) is the amount of water stored at time t, waterstored_min is the minimum amount of water stored in the reservoir, and waterstored_max is the maximum amount of water stored in the reservoir.

[0119] Equation 21 represents a constraint equation indicating that the water storage volume of the reservoir 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. FIG. 14 shows an example of 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 hydroelectric power generation 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 equation that indicates that the output of the water electrolysis device does 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 expresses a constraint equation that indicates that the hydrogen storage capacity of the hydrogen station is within the upper and lower operational limits, where 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 expresses 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 charging capacity of the storage battery.

[0124] Equation 26 represents a constraint equation that indicates that the charging output of the storage battery does not exceed the maximum charging output in the specifications, 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 equation that indicates that the discharge output of the storage battery does not exceed the maximum discharge output in the specifications, 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 expresses a constraint equation that indicates that the remaining battery power is the sum of the difference between the past charge and discharge amounts and the initial battery power during all time periods of the planning period. Here, powerstored_now is the initial battery power.

[0127] Next, the calculated total profit is used as an evaluation function, and based on the result of the constraint check, steps S101 to S105 are repeated until a specified end condition is reached 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 metaheuristic methods such as nonlinear programming, greedy methods, and genetic algorithms in mathematical optimization, for example.

[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).Then, the results are stored in 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, and the process ends.

[0129] Fig. 20 is 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 of each generator. Fig. 21 is 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 of 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 battery for each time period. Fig. 23 shows an example of data for the hydrogen production schedule 114, which stores the hydrogen production amount and production cost for each water electrolysis device for each time period.

[0131] Fig. 24 is 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. Fig. 25 is 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] FIG. 26 is an example of data for the hydrogen buying and selling schedule 117, which stores, for each time period, the consumer hydrogen sales volume, the hydrogen market procurement volume, the hydrogen market sales volume, the hydrogen retail sales revenue, the hydrogen market sales revenue, and the hydrogen market procurement cost.

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

[0134] 8 is a flowchart showing details of the processing procedure of the information presentation unit 55. When the processing is started, 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 and selling schedule 116, and the hydrogen buying and 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 for all time periods.

[0137] Next, the total profit is calculated by subtracting the total cost from the calculated total income (step S603). Then, a user interface display screen of the planning results is created based on each acquired schedule and the calculated income, 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 amount and supply amount for each time period as a power generation plan, a power retail plan, and a 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 information on the breakdown of the amount, such as the hydrogen conversion amount and the spot market sales amount. The procurement amount in the power retail plan may be displayed as information on the breakdown of the amount, such as the relative procurement amount and the spot market procurement amount. The supply amount in the power retail plan may be displayed as information on the breakdown of the amount, such as the consumer sales amount.

[0140] The procurement volume of the hydrogen retail plan may be displayed with breakdown information such as the amount procured within the region, the amount procured externally, etc. The supply volume of the hydrogen retail plan may be displayed with breakdown information such as the amount refilled at hydrogen stations, etc. The user interface may also display information on sales revenue, cost, and profit 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] FIG. 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 with detailed information such as hydroelectric power generation amount and thermal power generation amount. The supply amount in the power generation plan may be displayed with detailed information such as hydrogen conversion amount and spot market sales amount. The user interface may also display information on sales revenue, costs, and profits in the power generation plan.

[0142] FIG. 31 is an example of a screen image displayed on a 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 on its details, such as relative procurement amount and spot market procurement amount. The supply amount in the electricity retail plan may be displayed with information on its details, such as sales amount to consumers. The user interface may also display information on sales revenue, costs, and profits in the electricity retail plan.

[0143] FIG. 32 is an example of a screen image displayed on the user interface of a hydrogen retailer. The user interface may display the procurement amount and supply amount for each time period as a hydrogen retail plan. The procurement amount for the hydrogen retail plan may be displayed with information broken down into the amount procured within the region, the amount procured externally, etc. The supply amount for the hydrogen retail plan may be displayed with information broken down into the amount refilled at hydrogen stations, etc. 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 for 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 from electricity and hydrogen, generation costs, and procurement costs, based on forecast value information regarding renewable energy power generation, electricity demand, hydrogen demand, and market prices, as well as information regarding asset specifications.

[0145] This configuration allows for accurate evaluation of the total revenue from the procurement, production, and sale of electricity and hydrogen, improving revenue over the entire evaluation period.As one specific example, it is possible to plan operations such as not only producing hydrogen from surplus renewable energy power generation, but also generating electricity (including thermal and hydroelectric power generation), producing and storing hydrogen 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, since the effect of planning can be automatically calculated as an evaluation value by a computer, and a plan for improving the evaluation value can be automatically planned by a computer, the calculation time required for planning the energy operation plan can be shortened.

[0147] In this embodiment, a case has been described in which liquid hydrogen is generated in a water electrolysis device and transported in a liquefied hydrogen trailer or the like as a hydrogen operation; however, the field of application is not limited to this, and it goes without saying that the present invention can be widely applied to a wide range of applications in which plans are made for hydrogen generation, procurement, and supply using electricity, such as generating 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] In addition, only a part of the information referred to in the energy planning of this embodiment may be referred to, or other information may be referred to. For example, electricity trading in the external market or hydrogen trading with external business partners may not be taken into consideration, or hydrogen stations and storage batteries may not be taken into consideration. Furthermore, sales of hydrogen and electricity to consumers may not be referred to.

[0149] The present invention is not limited to the above-described embodiments, and includes various modified examples and equivalent configurations within the spirit 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 those including all of the configurations described. Furthermore, a 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, a part of the configuration of each embodiment may be added, deleted, or replaced with another configuration.

[0150] In addition, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be realized in hardware, for example by designing some or all of them as an integrated circuit, or may be realized in software by a processor interpreting and executing 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 are shown as being necessary for the explanation, and not all information lines necessary for implementation are shown. In reality, it can be considered that almost all components are connected to each other. [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...arithmetic 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: one or more computing devices; one or more storage devices; The one or more storage devices include A forecast of electricity demand in a given area; A predicted demand value of hydrogen in the specified area; and and storing information on the cost of electricity generation and hydrogen production; The one or more computing devices, An apparatus that develops and presents an integrated energy plan including a power generation plan and a hydrogen generation plan based on information on the costs of power generation and hydrogen generation, under conditions that can supply the amount of power required for hydrogen generation based on the predicted value of electricity demand and the predicted value of hydrogen demand, and that can supply the predicted value of hydrogen demand.

2. 2. The apparatus of claim 1, The integrated energy plan includes a hydrogen replenishment plan for a hydrogen storage facility for supplying hydrogen to consumers; The one or more computing devices develop the integrated energy plan under a 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.

3. 2. The apparatus of claim 1, The integrated energy plan includes a plan for purchasing and selling electricity in an external electricity market; The one or more computing devices, Obtaining price information in the external electricity market; An apparatus that formulates the integrated energy plan based further on information on the cost of purchasing electricity from the external electricity market and the unit price of selling electricity to the external electricity market, so as to increase revenues based on the costs of generating electricity and hydrogen, the cost of purchasing electricity from the external electricity market, and the revenues from selling electricity to the external electricity market.

4. 2. The apparatus of claim 1, The integrated energy plan includes a hydrogen procurement and sales plan with external business partners; The one or more computing devices, Obtain information on external trading prices of hydrogen, The device develops the integrated energy plan based on information on the cost of procuring hydrogen from the external supplier and the unit price of selling hydrogen to the external supplier, so as to increase the cost of generating electricity and hydrogen, the cost of procuring hydrogen from the external supplier, and the revenue based on the sale of hydrogen to the external supplier.

5. 2. The apparatus of claim 1, The integrated energy plan includes: Further including an electricity procurement and sales plan in the external electricity market and a hydrogen procurement and sales plan with external business partners; The one or more computing devices, Obtaining price information in the external electricity market; Obtain information on external trading prices of hydrogen, An apparatus that formulates the integrated energy plan based on the cost of electricity procurement from the external electricity market, information on the unit price of electricity sold to the external electricity market, the cost of hydrogen procurement from the external supplier, and information on the unit price of hydrogen sold to the external supplier, so as to increase revenues based on the costs of generating electricity and hydrogen, the procurement cost from the external electricity market, sales revenue to the external electricity market, the cost of hydrogen procurement from the external supplier, and sales revenue from hydrogen to the external supplier.

6. 6. The apparatus of claim 5, The integrated energy plan includes a hydrogen replenishment plan for a hydrogen storage facility for supplying hydrogen to a consumer, and a charge / discharge plan for a storage battery; The revenue is further based on a charge / discharge cost of the storage battery, The one or more computing devices formulate the integrated energy plan under conditions where the amount of hydrogen stored in the specified area is equal to or greater than the predicted hydrogen demand value during 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.

7. 6. The apparatus of claim 5, The one or more computing devices, A function including a first term indicating a total of sales revenues of the electricity and hydrogen, a second term indicating a total of costs for generating the electricity and hydrogen, and a third term indicating a total of procurement costs of the electricity and hydrogen is set; An apparatus for searching and formulating the integrated energy plan that improves the value of the function by repeatedly assuming combinations of power generation and hydrogen production, and procurement and sales of power and hydrogen, and evaluating the function.

8. A system for supporting integrated energy management, comprising: A device for supporting integrated energy management; The device includes a terminal connected to the device via a network, The apparatus comprises: one or more computing devices; one or more storage devices; The one or more storage devices include A forecast of electricity demand in a given area; A predicted demand value of hydrogen in the specified area; and and storing information on the cost of electricity generation and hydrogen production; The one or more computing devices, creating an integrated energy plan including a power generation plan and a hydrogen generation plan based on information on costs of power generation and hydrogen generation under conditions in which 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; Transmitting the integrated energy plan information to the terminal; The terminal displays information about the integrated energy plan.

9. 1. A method for supporting integrated energy management in an apparatus, comprising: The apparatus comprises: A forecast of electricity demand in a given area; A predicted demand value of hydrogen in the specified area; and and storing information on the cost of electricity generation and hydrogen production; The method comprises: The device determines an amount of electricity required for hydrogen production based on the predicted hydrogen demand value; creating an integrated energy plan including a power generation plan and a hydrogen generation plan based on information on costs of power generation and hydrogen generation under conditions in which the device can supply the predicted value of the power demand and the amount of power required for the hydrogen generation, and can supply the predicted value of the hydrogen demand; The device presents the developed integrated energy plan.

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