Information processing device, hydrogen production system, power supply system, operation plan creation method, and computer program

Abstract

A hydrogen manufacturing system 10 comprises a hydrogen manufacturing facility 14 and a management server 40. The management server 40 comprises an operation plan creation unit 52 and an operation plan output unit 54. The operation plan creation unit 52 creates an operation plan of the hydrogen manufacturing facility 14. The operation plan output unit 54 outputs data including the operation plan created by the operation plan creation unit 52. The operation plan creation unit 52 creates, on the basis of a demand response consideration per predetermined unit time, the operation plan of the hydrogen manufacturing facility including a demand response possible amount per unit time.

Description

[Technical Field]

[0001] This disclosure relates to data processing technology, particularly to information processing equipment, hydrogen production systems, power supply systems, operation planning methods, and computer programs. [Background technology]

[0002] Hydrogen production facilities that produce hydrogen by electrolyzing water, and hydrogen production facilities that produce hydrogen by reforming city gas are known (see, for example, Patent Document 1). [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2021-046600 [Overview of the project] [Problems that the invention aims to solve]

[0004] Traditionally, operating plans for hydrogen production facilities were created based on hourly hydrogen demand and the cost of energy used (e.g., electricity). Because hydrogen production facilities can control electricity demand, they can provide a means of adjusting electricity supply and demand.

[0005] Generally, the surplus of controllable hydrogen production capacity is calculated based on an operating plan that does not take into account the provision of power supply and demand adjustment capabilities, and the amount of demand response that can be provided is then calculated. However, this method does not take into account the remaining amount of stored hydrogen or the compensation for demand response, which can sometimes result in being unable to respond to demand response orders, or in some cases, in which the revenue from demand response may be small.

[0006] This disclosure is made in light of these challenges, and one of its objectives is to provide technology that helps in creating efficient operating plans for hydrogen production facilities. [Means for solving the problem]

[0007] In order to solve the above problems, an information processing apparatus according to an aspect of the present disclosure includes a processor. The processor executes a first step of creating an operation plan for a hydrogen production facility including a demand response available amount per unit time based on a demand response price per unit time, and a second step of outputting data including the operation plan created in the first step.

[0008] Another aspect of the present disclosure is a hydrogen production system. This hydrogen production system includes a hydrogen production facility and an information processing apparatus. The information processing apparatus executes a first step of creating an operation plan for a hydrogen production facility including a demand response available amount per unit time based on a demand response price per unit time, and a second step of outputting data including the operation plan created in the first step.

[0009] Still another aspect of the present invention is a power supply system. This power supply system is a power supply system that supplies power to a power grid using power obtained from a renewable energy power generation device that generates power using renewable energy, and includes a power conditioner device that adjusts the power generated by the renewable energy power generation device, a storage battery capable of storing and discharging at least a part of the surplus power that is not supplied to the power grid among the power adjusted by the power conditioner device, a hydrogen production facility that produces hydrogen using at least a part of the surplus power that is not supplied to the power grid among the power adjusted by the power conditioner device, a hydrogen storage facility capable of storing and releasing the hydrogen produced by the hydrogen production facility, a fuel cell that generates power using the hydrogen released by the hydrogen storage facility, and control means for controlling at least the operation of the hydrogen production facility. The control means creates an operation plan for the hydrogen production facility including a demand response available amount per unit time based on a demand response price per unit time, and controls the hydrogen production facility based on the operation plan.

[0010] Another aspect of this disclosure is a method for creating an operation plan. This method includes a first step in which a computer creates an operation plan for a hydrogen production facility, including the amount of demand response available per unit time, based on the demand response cost per unit time, and a second step in which it outputs data including the operation plan created in the first step.

[0011] Another aspect of this disclosure is a computer program. This computer program causes a computer to perform a first step of creating an operating plan for a hydrogen production facility, which includes the amount of demand response available per unit time, based on the demand response cost per unit time, and a second step of outputting data including the operating plan created in the first step.

[0012] Furthermore, any combination of the above components, or any conversion of the expressions of this disclosure between recording media such as computer programs, is also valid as a form of this disclosure. [Effects of the Invention]

[0013] The technology described herein can help in creating efficient operating plans for hydrogen production facilities. [Brief explanation of the drawing]

[0014] [Figure 1] This is a diagram showing the configuration of the hydrogen production system in the first embodiment. [Figure 2] This diagram shows several constants used in creating an operation plan. [Figure 3] This diagram shows several variables used in creating a driving plan. [Figure 4] This figure shows the results of the control simulation for the first embodiment and the comparative example. [Figure 5] This figure shows the results of the control simulation for the first embodiment. [Figure 6] This figure shows the results of the control simulation for the comparative example. [Figure 7]This diagram shows the configuration of the power supply system in the second embodiment. [Modes for carrying out the invention]

[0015] The subject of the apparatus or method in this disclosure comprises a computer. The functions of the subject of the apparatus or method in this disclosure are realized by the computer executing a computer program. The computer comprises a processor as its main hardware component, which operates according to the computer program. The processor is of any type as long as it can realize its functions by executing the computer program. The processor consists of one or more electronic circuits, including semiconductor integrated circuits (ICs, LSIs, etc.). The computer program is recorded on a non-temporary recording medium such as a ROM, optical disc, or hard disk drive that is readable by the computer. The computer program may be pre-stored on the recording medium or may be supplied to the recording medium via a wide-area communication network, including the Internet.

[0016] The technology of this disclosure will be described below with reference to the drawings, based on preferred embodiments. The embodiments are illustrative and not limiting to the invention, and not all features or combinations thereof described in the embodiments are necessarily essential to the invention. The same or equivalent components, members, and processes shown in each drawing are denoted by the same reference numerals, and redundant explanations are omitted as appropriate. Furthermore, the scale and shape of each part shown in each figure are set for convenience to facilitate explanation and are not to be interpreted restrictively unless otherwise specified. In addition, when terms such as "first," "second," etc. are used in this specification or claims, they do not indicate any order or importance, unless otherwise specified, but are used to distinguish one configuration from another.

[0017] <First Example> First, let's explain the outline of the first embodiment. In the first embodiment, "demand response" (hereinafter also referred to as "DR") is a mechanism that adjusts the balance of electricity supply and demand by adjusting the amount of electricity demand in accordance with the amount of electricity supply. DR includes upward DR and downward DR as patterns of demand control. Upward DR is a control that increases the amount of electricity demand, and is implemented, for example, when the output of renewable energy becomes excessive. In other words, upward DR adjusts the balance of electricity supply and demand by increasing the amount of electricity consumed. Downward DR is a control that decreases the amount of electricity demand, and is implemented, for example, when electricity consumption reaches its peak. In other words, downward DR adjusts the balance of electricity supply and demand by reducing the amount of electricity consumed. Electricity consumers (companies, etc.) can receive compensation (which can also be called income or reward) for DR by controlling their electricity consumption (in other words, the amount of electricity purchased) in response to DR commands.

[0018] Traditionally, operating plans for hydrogen production facilities have been created based on hourly hydrogen demand and the cost of raw material energy (e.g., electricity). Hydrogen production facilities can control electricity demand and therefore provide power supply and demand adjustment capabilities. For example, they can provide power supply and demand adjustment capabilities by transmitting hourly DR (Demand Response) capacity to a resource aggregation system in advance and controlling the operation of the hydrogen production facility (e.g., increasing or decreasing the amount of electricity used for electrolysis) according to DR commands generated within the range of the transmitted DR capacity.

[0019] Generally, the surplus of controllable hydrogen production capacity is calculated based on an operating plan created without considering the provision of power supply and demand adjustment capacity, and this surplus is used as the available demand response (DR) capacity. However, this method does not take into account the remaining amount of hydrogen stored in tanks (hereinafter also referred to as "hydrogen reserves") or DR compensation, which can result in being unable to respond to DR orders, or incurring small revenues from responding to DR orders.

[0020] Therefore, in the first embodiment, a mathematical programming method is used to process the objective function to derive the amount of demand response possible per unit time. In other words, an operating plan for the hydrogen production facility is created, including the amount of demand response possible per unit time, based on the demand response cost per unit time. This maximizes overall revenue. In the first embodiment, a mathematical programming method is used to create an operating plan for the hydrogen production facility, taking into account the value of performing demand response. Mathematical programming is a method for finding explanatory variables that minimize or maximize (collectively referred to as "optimization") the objective function while satisfying predetermined constraints.

[0021] Specifically, in the hydrogen production system of the first embodiment, the objective function of the linear programming problem for creating the operation plan of the hydrogen production facility includes a term representing the demand response (DR) compensation. Furthermore, constraints are set to ensure that the hydrogen production facility does not deviate from its controllable range regardless of the type of DR command received. This enables the creation of an operation plan for the hydrogen production facility that quantitatively incorporates the revenue from DR. The operation plan for the hydrogen production facility can be described as a plan that defines the time-series electrolysis power, hydrogen production amount, or operating amount of the hydrogen production facility. For example, the operation plan for the hydrogen production facility may include a data set showing the electrolysis power, hydrogen production amount, or operating amount per unit time during a predetermined planning period.

[0022] The first embodiment will be described in detail. Figure 1 shows the configuration of the hydrogen production system 10 of the first embodiment. The hydrogen production system 10 includes a hydrogen station 12 and a management server 40. The hydrogen station 12 is a service station that produces, stores, and supplies hydrogen used in equipment such as fuel cell vehicles (hereinafter also referred to as "FCVs").

[0023] The hydrogen station 12 comprises a hydrogen production facility 14, a hydrogen storage facility 16, and a gateway device 18. The hydrogen production facility 14 includes a hydrogen generator (also called a water electrolyzer or electrolytic cell) that produces hydrogen by electrolyzing water using electricity supplied from the power grid. The hydrogen storage facility 16 includes a hydrogen tank for storing the hydrogen produced by the hydrogen production facility 14. The gateway device 18 is a device that communicates with external devices to the hydrogen station 12 (including a management server 40 and a resource aggregation system 34, described later, in the first embodiment).

[0024] The management server 40 is an information processing device that creates an operation plan for the hydrogen production facility 14. The management server 40 may also create operation plans for multiple hydrogen stations 12. The gateway device 18 of the hydrogen station 12 and the management server 40 are connected via a communication network 30 including LAN, WAN, the internet, etc., and constitute an energy management system (EMS). In the first embodiment, the creation of the operation plan for the hydrogen production facility 14 by the management server 40 is provided to the hydrogen station 12 as a cloud service. As a modification, the function of creating the operation plan for the hydrogen production facility 14 (the function of the management server 40 in the first embodiment) may be implemented in a device installed at the hydrogen station 12.

[0025] The management server 40 is also connected to the electricity market price distribution device 32 via the communication network 30. The electricity market price distribution device 32 provides actual or predicted electricity price data in the electricity market to external devices (such as the management server 40). In the first embodiment, the electricity price may fluctuate per unit time (in the first embodiment, 30 minutes, hereinafter also referred to as "times"). The unit of the electricity price is, for example, yen / kWh (kilowatt-hour).

[0026] The gateway device 18 is also connected to the resource aggregation system 34 via the communication network 30. The resource aggregation system 34 is an information processing system for a business operator (resource aggregator) that integrates and controls consumer-side energy resources and distributed energy resources.

[0027] The resource aggregation system 34 receives DR (Demand Response) data from the consumer (in the first embodiment, the gateway device 18 of the hydrogen station 12), which includes the baseline power and the power adjustment amount in DR. The power adjustment amount in DR includes either or both of the "upward DR adjustment amount" which indicates the power adjustment amount in upward DR, and the "downward DR adjustment amount" which indicates the power adjustment amount in downward DR. In other words, the upward DR adjustment amount is the amount by which power consumption can be increased, and the downward DR adjustment amount is the amount by which power consumption can be decreased.

[0028] Furthermore, the resource aggregation system 34 transmits a DR command to the consumer (in the first embodiment, the gateway device 18 of the hydrogen station 12) in response to a power demand adjustment request from the power company. The DR command includes an "upward DR command" that instructs an upward DR and a "downward DR command" that instructs a downward DR. In other words, the resource aggregation system 34 issues either an upward DR command or a downward DR command to the consumer in response to a power demand adjustment request from the power company.

[0029] Figure 1 includes a block diagram showing the functional blocks of the gateway device 18. Each block shown in the block diagrams of this specification can be realized in hardware terms by a computer processor (CPU, etc.), memory and other elements, electronic circuits, and mechanical devices, and in software terms by a computer program, etc., but here we are depicting functional blocks that are realized through the cooperation of these. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various ways by combinations of hardware and software.

[0030] The gateway device 18 includes a DR data transmission unit 20 and a DR command acquisition unit 22 as functional blocks related to DR. The DR data transmission unit 20 transmits DR available amount data to the resource aggregation system 34. The DR command acquisition unit 22 acquires the upward DR command and downward DR command transmitted from the resource aggregation system 34. At the hydrogen station 12, the electrolysis power (which can also be called the amount of hydrogen produced) of the hydrogen production equipment 14 is controlled based on the upward DR command and downward DR command. Such processing related to DR in the resource aggregation system 34 and the hydrogen station 12 may be implemented using publicly known technologies.

[0031] Figure 1 includes a block diagram showing the functional blocks of the management server 40. The management server 40 comprises a control unit 42, a storage unit 44, and a communication unit 46. The control unit 42 performs various data processing for creating an operation plan for the hydrogen production facility 14. The storage unit 44 includes either a non-volatile storage area or a volatile storage area, and stores data that is referenced or updated by the control unit 42. The communication unit 46 communicates with external devices according to a predetermined communication protocol. The control unit 42 sends and receives data with the gateway device 18 and the electricity market price distribution device 32 via the communication unit 46.

[0032] The memory unit 44 stores multiple constants used in creating the operation plan, in other words, multiple constants included in the objective function and constraints used in mathematical programming. Constants can be described as parameters whose values ​​do not change during the optimization calculation of the objective function based on mathematical programming. Each constant may be set to a value obtained from an external device, a historical value, a design value, or an assumed value.

[0033] Figure 2 shows several constants used in creating the operation plan. The index i of each constant represents the time frame number. One time frame is a unit of time for creating the operation plan, and in the first embodiment, one time frame is 30 minutes. In the first embodiment, the target period for creating the operation plan is one day (0:00 to 24:00), and the operation plan is created for each day of the target period based on the information obtained at 9:00 the previous day. This is repeated based on 30 days of information to create a 30-day operation plan. The initial value of index i is 0, and the final value is 47 (2 time frames / hour × 24 hours - 1). However, the unit time for creating the operation plan can be any length, and the target period for creating the operation plan can also be any length. kW,up,i This is the amount of compensation (i.e., compensation for increased DR) for increasing the amount of electricity purchased in response to the increased demand response (DR). kW,down,i This is the reward amount for reducing electricity purchases in response to the reduced demand response (DR) (i.e., the compensation for the reduced DR). N (number of frames) is set to 48 (2 frames / hour × 24 hours), which is the number of frames in one day.

[0034] Furthermore, the memory unit 44 stores multiple variables used in creating the operation plan, in other words, multiple variables included in the objective function and constraints used in mathematical programming. These variables can be described as parameters whose values ​​are optimized by the optimization calculation of the objective function based on mathematical programming.

[0035] Figure 3 shows several variables used in creating the operation plan. The index i of each variable is the same as the index i of the constant. Electrolysis power P during actual operation of hydrogen production facility 14. WE,i This can also be considered the operating volume of the hydrogen production equipment 14 in each frame. Baseline power P in DR WE,plan,i This is the electrolysis power of hydrogen production equipment 14 in the event that no DR (Demand Request) order is received. Hydrogen remaining amount V H2,tank,i This represents the remaining amount of hydrogen stored in the hydrogen storage facility 16.

[0036] The control unit 42 includes a parameter acquisition unit 48, a demand forecasting unit 50, an operation plan creation unit 52, and an operation plan output unit 54. A computer program implementing the functions of these multiple functional blocks may be installed in the storage (storage unit 44, etc.) of the management server 40. The control unit 42 may be implemented by the processor (CPU, etc.) of the management server 40. The processor of the management server 40 may perform the functions of these multiple functional blocks by reading the above computer program into main memory and executing it.

[0037] The parameter acquisition unit 48 acquires the values ​​of parameters used in creating the operation plan (for example, the values ​​of constant parameters) from an external device and stores them in the storage unit 44. For example, the parameter acquisition unit 48 acquires the electricity price C used when creating the operation plan. el,i The power market price distribution device 32 acquires data on the power price for each time slot. The parameter acquisition unit 48 may also acquire power price data for the same month of the previous year as power price data for the period during which the operation plan is created (hereinafter also referred to as the "planning period").

[0038] The demand forecasting unit 50 calculates the hydrogen sales volume V for each time slot during the planned period. H2,sell,i The system predicts the hydrogen demand (which can also be called the hydrogen demand) and stores the data in the storage unit 44. The demand forecasting unit 50 may also predict the hydrogen sales volume during the planned period based on past hydrogen sales performance and trends, weather information and traffic information related to the planned period, etc.

[0039] The operation planning unit 52 uses mathematical programming to create an operation plan for the hydrogen production facility 14. Equation 1 shows the objective function f in the operation plan creation.

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[0040] The objective function f is the sum of the difference between electricity purchase costs and revenue from demand response (DR) over all time slots in the planning period. The first term of the objective function f represents the electricity purchase cost for each time slot to operate the hydrogen production facility 14. In other words, the first term of the objective function f represents the cost based on the amount of electricity used to operate the hydrogen production facility 14 for each time slot, and further in other words, represents the cost based on the amount of energy consumed by the hydrogen production facility 14 for each time slot.

[0041] The second and third terms of the objective function f represent the revenue based on the amount of demand response (DR) available for each time slot related to the operation of the hydrogen production facility 14, and the DR price for each time slot. Specifically, the second term represents the product of the upward DR price in a given time slot and the amount of upward DR available in that time slot, that is, the revenue from responding to an upward DR command in a given time slot. The third term represents the product of the downward DR price in a given time slot and the amount of downward DR available in that time slot, that is, the revenue from responding to a downward DR command in a given time slot. In the objective function f of the first embodiment, revenue is subtracted from cost, and the smaller the value of the objective function f, the greater the profit. Therefore, minimizing the value of the objective function f means maximizing the profit.

[0042] Equations 2 to 11 below show the constraints in creating the operation plan.

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[0043]

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[0044] Equation 2 represents the constraint that the amount of electricity purchased from the power grid per frame E grid,i is equal to the power consumption E WE,i of the hydrogen production facility 14. Equation 3 represents the constraint regarding the relationship between the hydrogen production volume V H2,prod,i and the power consumption E WE,i of the hydrogen production facility 14. Equations 4 - 6 represent the constraints regarding the remaining hydrogen amount in the hydrogen storage facility 16 (hydrogen tank). Equations 3, 4, and 6, in combination, define that the remaining hydrogen amount V WE,i in the hydrogen storage facility 16, which is determined according to the power amount E H2,tank,i relating to the operation of the hydrogen production facility 14, is kept within a predefined range (specifically, not less than the minimum storage amount VH2,tank,min and not more than the maximum storage amount VH2,tank,max).

[0045] Equations 4 and 6 define that the hydrogen production volume suffices the hydrogen sales volume. Equation 4 defines that the remaining amount in the tank is the integration of the increase due to past hydrogen production and the decrease due to hydrogen supply to the FCV. Equation 6 defines that the remaining tank amount does not fall below the minimum storage amount and does not exceed the maximum storage amount. The minimum storage amount is, for example, the amount of hydrogen that should be stored at least to suffice the hydrogen sales volume. The maximum storage amount is, for example, the capacity of the hydrogen tank. Or, amounts with margins provided to these can be used as the minimum storage amount or the maximum storage amount.

[0046] Equation 5 specifies that the tank volume (final tank volume) at the end of one operation plan (i.e., when the index i of the frame number reaches its final value) should be a specified value. Without Equation 5, optimizing the objective function would create an operation plan in which the final tank volume becomes 0. However, if the tank volume becomes 0, hydrogen cannot be supplied to the FCV. By including Equation 5, it is possible to create an optimal operation plan while leaving a specified amount of hydrogen in the final tank volume. In the first embodiment, the final tank volume is set to half of the maximum storage capacity of the hydrogen tank.

[0047] Equation 7 shows the electrolytic power P of the hydrogen production facility 14. WE,i This is a constraint on (in other words, power consumption). Equation 8 gives the first probability (r up ) receives a command to raise DR, and the second probability (r down ) Electrolytic power P, which is assumed to receive a DR command to lower the power level. WE,i The constraints on the first probability (r) are shown. up ) is the expected value, assumed value, of receiving an upward DR command, and in the first embodiment it is 0.25. The second probability (r down ) represents the expected value or assumed value for receiving a reduced DR command, and in the first embodiment, it is 0.25. These values ​​can be set as appropriate based on experiments or simulations. By including Equation 8 as a constraint, the amount of hydrogen produced, including the response to DR, can be calculated more accurately, thus enabling the creation of a more feasible plan.

[0048] Equation 9 shows the constraint that the amount of DR available must be kept within a controllable range during the operation of the hydrogen production facility 14. Specifically, Equation 9 shows the baseline power P in DR. WE,plan,i The amount P that can be reduced from DR DR,down,i This specifies that the value must be such that it can respond to a power reduction (DR) command. Furthermore, Equation 9 shows the baseline power P in DR. WE,plan,i The rated power of the hydrogen production equipment 14 and the increased DR capacity P DR,up,iThis specifies that the value must be less than or equal to the difference between the two values, that is, a value that allows for a response to an upward DR command. Including Equation 9 as a constraint can increase the likelihood of responding to DR commands.

[0049] Equations 10 and 11 are constraints for calculating the amount of DR (Demand Response) that can be performed depending on the length of the commodity block in the power supply and demand adjustment market (e.g., 3 hours). The "mod" in equations 10 and 11 indicates a modulo operation. The length of the commodity block in the power supply and demand adjustment market is the period over which power demand (purchased electricity) should be adjusted in response to a single DR command, and is determined by market requirements.

[0050] The operation planning unit 52 derives the DR amount (upward DR amount and downward DR amount) for each time slot that optimizes the objective function f shown in Equation 1, using mathematical programming (for example, mixed-integer linear programming). At the same time, the operation planning unit 52 further derives the amount of electricity required for the operation of the hydrogen production equipment 14 for each time slot that optimizes the objective function f.

[0051] Specifically, the operation plan creation unit 52 derives the values ​​of the explanatory variables that minimize the objective function f (i.e., maximize profit) under the constraints shown in Equations 2 to 7, based on the parameter values ​​stored in the memory unit 44. These explanatory variables are, for example, E grid,i , P DR,up,i , P DR,down,i , P WE,plan,i , E WE,i , P WE,i , V H2,prod,i , V H2,tank,i This includes the following. The solution of explanatory variables using mathematical programming may be performed using known techniques.

[0052] The operation plan creation unit 52 creates operation plan data for the hydrogen production facility 14 based on the derived variable values. For example, the operation plan creation unit 52 calculates the amount of electricity purchased E in each time slot within the planning period. grid,i , DR increase possible amount P DR,up,i Possible amount of reduction P DR,down,i , baseline power P in DR WE,plan,i , the electrolysis power (in other words, operating amount) P of the hydrogen production equipment 14 WE,iYou may create driving plan data that includes the value of .

[0053] The operation plan output unit 54 transmits the operation plan data created by the operation plan creation unit 52 to the hydrogen station 12 (gateway device 18).

[0054] The operation of the hydrogen production system 10 with the above configuration will now be explained. The parameter acquisition unit 48 of the management server 40 acquires values ​​of various parameters necessary for creating an operation plan for the hydrogen production equipment 14 from an external device and stores them in the storage unit 44. The demand forecasting unit 50 of the management server 40 forecasts the amount of hydrogen to be sold for the planning period and stores the forecast value in the storage unit 44. The operation plan creation unit 52 of the management server 40 inputs the values ​​of multiple parameters stored in the storage unit 44 into the objective function of Equation 1 and the constraints of Equations 2 to 11, and uses mathematical programming to minimize the objective function as an explanatory variable (electricity purchase amount E grid,i The operation plan creation unit 52 derives the following (etc.). The operation plan creation unit 52 creates operation plan data based on the variable values ​​derived using mathematical programming. For example, the management server 40 (information processing device) is equipped with a processor, and the processor creates an operation plan for the hydrogen production facility, including the amount of demand response that can be provided per unit time, based on the demand response cost per unit time (first step).

[0055] The operation plan output unit 54 of the management server 40 transmits the operation plan data to the gateway device 18 of the hydrogen station 12. For example, the processor of the management server 40 outputs data including the operation plan created in the first step (second step). At the hydrogen station 12, the purchase of electricity from the power grid and the operation of the hydrogen production equipment 14 are controlled according to the operation plan data transmitted from the management server 40, and hydrogen is produced.

[0056] Furthermore, the gateway device 18 of the hydrogen station 12 transmits DR (Demand Recovery) data, including the amount of DR that can be increased, the amount of DR that can be decreased, and the baseline power in DR, as indicated by the operation plan data, to the resource aggregation system 34. The gateway device 18 receives an increase DR command or a decrease DR command transmitted from the resource aggregation system 34. At the hydrogen station 12, if the amount of hydrogen remaining in the hydrogen storage facility 16 can be maintained within the range of minimum storage amount or more and maximum storage amount or less, the power consumption is adjusted. For example, in accordance with an increase DR command, the electrolysis power of the hydrogen production facility 14 is increased to increase the amount of hydrogen produced. Or, in accordance with a decrease DR command, the electrolysis power of the hydrogen production facility 14 is decreased to decrease the amount of hydrogen produced. Or, in accordance with a decrease DR command, the operation of the hydrogen production facility 14 is stopped.

[0057] According to the hydrogen production system 10 (management server 40) of the first embodiment, an appropriate amount of DR (Demand Response) can be set according to the remaining amount of hydrogen in the hydrogen storage facility 16 and the DR compensation per unit time. By setting an appropriate amount of DR, for example, the occurrence of situations in which DR commands cannot be responded to can be suppressed. In principle, DR commands must be followed, and if they are not followed, penalties may be incurred, and the revenue from responding to DR commands may be reduced. According to the hydrogen production system 10 (management server 40) of the first embodiment, the occurrence of penalties can be avoided, and the reduction in revenue from responding to DR commands can be avoided. In other words, according to the hydrogen production system 10 (management server 40) of the first embodiment, an efficient operation plan for the hydrogen production facility 14 that takes into account the value of performing DR can be created. Penalties for not responding to DR commands include the imposition of fines and the loss of eligibility to participate in the electricity supply and demand adjustment market. For this reason, it is important to suppress situations in which DR commands cannot be responded to.

[0058] The following describes the results of control simulations using the operation plan creation method of the first embodiment and the operation plan creation method of the comparative example. In this simulation, the electricity price C el,iAs such, the actual contract price in the Japanese domestic electricity wholesale market (Tokyo area price from June 1, 2018 to June 30, 2018) was used. In addition, a demand curve was created assuming that 50 FCVs visit hydrogen station 12 per day, and the hydrogen sales volume V for each time segment was calculated. H2,sell,i I set it.

[0059] Equation 12 shows the objective function for the comparative example.

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[0060] Other conditions besides the objective function (constraints, random number seed values, etc.) were the same for both the first embodiment and the comparative example, and 30 days of control simulations were performed for both the first embodiment and the comparative example. That is, in both the first embodiment and the comparative example, a 30-day operation plan for the hydrogen production facility 14 was created by repeatedly performing a daily operation plan based on 30 days of information. Hereinafter, increasing the amount of electricity purchased (in other words, the electrolysis power of the hydrogen production facility 14) in response to an upward DR command, and decreasing the amount of electricity purchased in response to a downward DR command will also be referred to as "DR success." Furthermore, not increasing the amount of electricity purchased despite receiving an upward DR command, and not decreasing the amount of electricity purchased despite receiving a downward DR command will also be referred to as "DR failure."

[0061] Specifically, in the first embodiment, an operation plan is created for each of the 30 days, and the electrolysis power (P) of the hydrogen production facility 14 for the following day is calculated. WE,i ), DR baseline (P WE,plan,i ), DR possible amount (P DR,up,i and P DR,down,i ) is calculated. In the first embodiment, the DR baseline (P) for the following day is calculated on each day. WE,plan,i ) and DR available amount (P DR,up,i and P DR,down,iIn the comparative example, an operating plan was created for each of the 30 days, and the electricity generated from hydrogen production exceeding the amount of hydrogen sold each day (i.e., surplus capacity) was submitted to the resource aggregator as the amount of demand response (DR) available.

[0062] In both the first embodiment and the comparative example, in each time slot on the following day, a random DR command (upward DR command or downward DR command) was issued based on a random number, within the range of the DR available amount submitted to the resource aggregator the previous day. However, upward DR commands and downward DR commands were not issued simultaneously. Hydrogen remaining amount in hydrogen storage facility 16 (V H2,tank,i ) is the upper limit (V H2,tank,max If a DR (Demand Response) command is issued that exceeds the amount of hydrogen remaining in the hydrogen storage facility 16 (V), the hydrogen production will be stopped in defiance of the DR command, resulting in a DR failure. H2,tank,i ) is the lower limit (V H2,tank,min If a downward DR (Demand Response) directive is issued that falls below the specified level, hydrogen production will proceed in defiance of that directive, resulting in a DR failure.

[0063] Figure 4 shows the results (calculation results) of the control simulation for the first embodiment and the comparative example. In this calculation, the unit hydrogen production amount (1 Nm³) when the hydrogen production facility 14 is operated according to the operation plan is calculated for both the first embodiment and the comparative example. 3 The cost of electricity purchased per 30 days was calculated. This cost of electricity purchased is calculated by summing the first term of the objective function over 30 days, and the hydrogen production amount V H2,prod,i This is the value obtained by dividing by the sum of 30 days.

[0064] Furthermore, in this calculation, the amount of hydrogen produced per unit (1 Nm³) was calculated for both the first example and the comparative example. 3 The DR revenue per ) was calculated. This DR revenue is calculated by summing the DR considerations for 30 days in the event of a successful DR, and multiplying by the amount of hydrogen produced by V. H2,prod,i This value is obtained by dividing by the sum of 30 days. Furthermore, the DR failure rate was calculated for both the first example and the comparative example. This DR failure rate is the value obtained by dividing the number of DR failures over 30 days by the number of DR commands over 30 days.

[0065] As shown in Figure 4, in the first embodiment, compared to the comparative example, the DR (Demand Response) amount for each time slot was calculated considering the electricity price of each time slot, which reduced electricity purchase costs and improved overall profitability (the value in the "Total" column; smaller values ​​indicate higher profitability). In addition, in the first embodiment, the DR failure rate was reduced because the DR amount was calculated considering the remaining hydrogen in the hydrogen production facility 14.

[0066] Figure 5 shows the results of the control simulation for the first embodiment, and Figure 6 shows the results of the control simulation for the comparative example. The horizontal axis in both figures indicates the date and time of the simulation period. The vertical axis on the right represents the amount of hydrogen remaining in the hydrogen storage facility 16 (unit: Nm). 3 The graphs show the following: The vertical axis on the left shows the power (in kW) related to the reduction in demand response (DR). The dashed line graphs in both figures show the change in the amount of hydrogen remaining in the hydrogen storage facility 16. The solid line graph shows the amount of DR reduction commanded (power to be reduced). The dashed line graph shows the amount of DR reduction implemented at the hydrogen station 12 (power actually reduced).

[0067] As shown in Figure 5, according to the operation plan creation method of the first embodiment, the hydrogen reserve in the hydrogen storage facility 16 remained stable. Furthermore, it was able to respond to all downward demand response (DR) commands. In principle, the electricity supply and demand adjustment market requires success in demand response, and according to the operation plan creation method of the first embodiment, it is possible to satisfy hydrogen demand while also meeting the requirements of the electricity supply and demand adjustment market.

[0068] On the other hand, in Figure 6, on the 19th and 22nd, a downward DR (Demand Response) order was issued, but the downward DR was not implemented at hydrogen station 12, resulting in a DR failure. In the comparative example, because the amount of DR possible according to the level of hydrogen demand cannot be calculated, the hydrogen inventory may fall below the lower limit when a downward DR order is received. In this case, hydrogen production (operation of hydrogen production equipment 14) must be continued despite the downward DR order, resulting in a DR failure. Also, in the comparative example, the hydrogen inventory may exceed the upper limit when an upward DR order is received. In this case, hydrogen production (operation of hydrogen production equipment 14) must be stopped despite the upward DR order, resulting in another DR failure.

[0069] The present disclosure has been explained above based on the first embodiment. The first embodiment is illustrative, and it will be understood by those skilled in the art that various modifications are possible for each component or combination of each processing process, and that such modifications are also within the scope of the present disclosure.

[0070] For example, in the first embodiment described above, the objective function f consists only of a first term representing the cost of electricity and a second and third term representing equipment degradation losses, but other configurations are also acceptable. For example, if the cost of electricity is always constant, the objective function may not include the first term. Also, for example, if the price of hydrogen sold varies depending on the time of day, the time-based sum of the product of the price of hydrogen sold and the amount of hydrogen produced may be included in the objective function. Furthermore, the constraints used in the first embodiment do not necessarily have to be used, and other constraints may be used. For example, if hydrogen is not produced outside of business hours, a constraint may be included that sets the amount of hydrogen produced outside of business hours to 0.

[0071] Furthermore, for example, in the first embodiment described above, the hydrogen production equipment 14 was installed in the hydrogen station 12, but as a modification, the hydrogen production equipment 14 may be installed in a hydrogen supply facility such as one for fuel cells or for chemical synthesis. Also, the hydrogen production equipment 14 may be installed in an energy (electricity, heat, hydrogen, etc.) supply system, and the energy supply system may include a storage battery, a fuel cell, etc., together with the hydrogen production equipment 14.

[0072] Furthermore, in the first embodiment described above, the operation plan output unit 54 of the management server 40 transmitted the operation plan data to the hydrogen production system 10 (gateway device 18). As a variation, the operation plan output unit 54 may store the operation plan data in a predetermined local or remote storage area. Alternatively, the operation plan output unit 54 may output the operation plan data to a predetermined display device and display the operation plan on that display device.

[0073] Furthermore, in the first embodiment described above, the gateway device 18 of the hydrogen station 12 is configured to include a DR data transmission unit 20 and a DR command acquisition unit 22 that send and receive data with the resource aggregation system 34. As a variation, the management server 40 may be configured to include either the DR data transmission unit 20 or the DR command acquisition unit 22. For example, in addition to the DR data transmission unit 20 and the DR command acquisition unit 22, the management server 40 may further include a DR command transfer unit. When the DR command acquisition unit 22 acquires a DR command transmitted from the resource aggregation system 34, the DR command transfer unit may transfer the data of that DR command to the gateway device 18 of the hydrogen station 12. Alternatively, the management server 40 may be equipped with the DR data transmission unit 20, and the gateway device 18 of the hydrogen station 12 may be equipped with the DR command acquisition unit 22. In other words, the management server 40 may directly transmit the DR available amount (PDR,up,i and PDR,down,i) calculated by the control unit 42 (operation plan creation unit 52) ​​to the resource aggregation system 34 via the communication unit 46, and the hydrogen station 12 (DR command acquisition unit 22 of the gateway device 18) may directly receive the DR command from the resource aggregation system 34.

[0074] Furthermore, in the first embodiment described above, the planning period was set to one day. However, the planning period is not limited to this. If longer-term demand forecasts or price forecasts are available, the planning period can be longer than one day. In this case, the planning period may be, for example, seven days (2 segments / hour × 24 hours × 7 days = 336 segments). Alternatively, shorter-term operation plans may be created at a higher frequency. For example, a plan for the next six hours may be created every three hours.

[0075] Furthermore, the parameter acquisition unit 48 of the management server 40 may acquire parameter values ​​for creating operation plans for multiple hydrogen production facilities 14 from an external device. The storage unit 44 of the management server 40 may store parameter values ​​for creating operation plans for multiple hydrogen production facilities 14. These multiple hydrogen production facilities 14 may be centrally installed in one hydrogen station 12, or they may be distributed across multiple hydrogen stations 12. The operation plan creation unit 52 of the management server 40 may create operation plans for each of the multiple hydrogen production facilities, including the amount of DR possible per unit time, based on the parameters of each hydrogen production facility 14, including the DR cost per unit time. The operation plan output unit 54 of the management server 40 may transmit data including the operation plans for each of the multiple hydrogen production facilities 14 to the gateway device 18 of the hydrogen station 12 where each hydrogen production facility 14 is installed.

[0076] Furthermore, although not mentioned in the first embodiment, the hydrogen station 12 may be equipped with a device (referred to here as the "instruction device") that instructs the hydrogen production equipment 14 to produce hydrogen based on data including the operation plan transmitted from the hydrogen production equipment 14. For example, the instruction device may instruct the hydrogen production equipment 14 to produce hydrogen for each time slot indicated in the operation plan. WE,i Accordingly, the operation of the hydrogen production equipment 14 may be controlled. The gateway device 18 of the hydrogen station 12 may also include the function of an instruction device. Furthermore, the hydrogen production equipment 14 may produce hydrogen based on instruction data from the instruction device, and may also vary the amount of hydrogen produced in each cycle.

[0077] <Second Example> The second embodiment of this disclosure will be described focusing on the differences from the first embodiment, with explanations of common points omitted as appropriate. It goes without saying that the features of the second embodiment can be combined with those of the first embodiment and its modifications in any way. Components of the second embodiment that are identical or corresponding to those of the first embodiment will be appropriately denoted by the same reference numerals in the description.

[0078] In the second embodiment, the technical concept described in the first embodiment is applied to a power supply system including a hydrogen production facility. Figure 7 shows the configuration of the power supply system 100 of the second embodiment. The power supply system 100 is an independent power supply system that supplies power to the power grid 104 using electricity from a renewable energy power generation device that generates electricity using renewable energy, for example, a solar power generation device (solar panel 102) that generates electricity using sunlight. The power grid 104 is a system owned by a general transmission and distribution company, and is an integrated system of generation, transformation, transmission, and distribution for supplying power to the power receiving equipment of consumers.

[0079] The power supply system 100 includes a power conditioner unit 110 (hereinafter referred to as "PCS110"), a water storage tank 112, a hydrogen production facility 114, a hydrogen storage facility 116, a fuel cell 118, a battery 120, and a control device 106. In the example shown in Figure 7, the control device 106 is located outside the power supply system 100, but the system is not limited to this example. The control device 106 may also be configured as part of the power supply system 100.

[0080] The solar panel 102 includes a solar cell and constitutes a solar power generation device that generates electricity by receiving sunlight with the solar cell and performing photoelectric conversion. Figure 7 shows the solar panel 102 as an example, but any other power generation device that generates electricity using renewable energy may be used. For example, a wind power generation device that generates electricity from wind power may be used. Alternatively, a hydroelectric power generation device that generates electricity from water power may be used. Geothermal power generation devices, wave power generation devices, thermoelectric power generation devices, and biomass power generation devices may also be used. Furthermore, a combination of these power generation devices that generate electricity using renewable energy may be used.

[0081] The PCS110 adjusts the power generated by the solar panels 102. Here, the PCS110 converts the power from the solar panels 102 into power that can be supplied to the power grid 104.

[0082] The water storage tank 112 stores water and supplies the stored water to the hydrogen production equipment 114 and the fuel cell 118. In the example in Figure 7, the water storage tank 112 is located inside the power supply system 100, but the system is not limited to this example. The water storage tank 112 may be located outside the power supply system 100. As a variation, the power supply system 100 may supply water directly to the hydrogen production equipment 114 and the fuel cell 118 from an external source (e.g., a water pipe).

[0083] The hydrogen production equipment 114 corresponds to the hydrogen production equipment 14 of the first embodiment. The hydrogen production equipment 114 produces hydrogen using at least a portion of the surplus electricity that is not supplied to the power grid 104 from the electricity adjusted by the PCS 110. Specifically, under the control of the control device 106, the hydrogen production equipment 114 produces hydrogen by electrolyzing water supplied from the water storage tank 112 using electricity that has been generated by the solar panels 102 and then adjusted by the PCS 110. The hydrogen production equipment 114 also includes measuring instruments such as gas sensors, pressure gauges, and flow meters (not shown), and the data measured by these measuring instruments is output to the control device 106 as a data signal.

[0084] The hydrogen storage facility 116 corresponds to the hydrogen storage facility 16 of the first embodiment. The hydrogen storage facility 116 can employ known equipment capable of storing and releasing hydrogen. For example, the hydrogen storage facility 116 is equipped with a hydrogen storage alloy that is excellent at absorbing and releasing hydrogen, and stores and releases hydrogen produced by the hydrogen production facility 114 under the control of the control device 106. The hydrogen storage facility 116 also includes measuring instruments (not shown) such as a gas sensor, a pressure gauge, and a flow meter, and the data measured by these measuring instruments is output to the control device 106 as a data signal.

[0085] Under the control of the control device 106, the fuel cell 118 generates electricity using hydrogen released from the hydrogen storage facility 116, and also produces hot water using water supplied from the water storage tank 112 and waste heat. The electricity generated by the fuel cell 118 is supplied to the power grid 104. The fuel cell 118 also includes measuring instruments such as a gas sensor, pressure gauge, and flow meter (not shown) and measuring instruments for measuring the amount of hydrogen stored (not shown), and the data measured by these measuring instruments is output as a data signal to the control device 106.

[0086] The battery 120 stores at least a portion of the surplus power adjusted by the PCS 110 that is not supplied to the power grid 104, and discharges the stored power. Specifically, under the control of the control device 106, the battery 120 stores the power generated by the solar panels 102 and adjusted by the PCS 110. The power stored in the battery 120 can be supplied to the power grid 104 by being discharged under the control of the control device 106. The battery 120 also includes a measuring device (not shown) for measuring the amount of stored power, and the data measured by the measuring device is output to the control device 106 as a data signal.

[0087] The control device 106 is implemented, for example, as an energy management system (EMS) and is configured as a control means for controlling each part of the power supply system 100. The control device 106 includes an arithmetic unit (not shown) and a memory (not shown), and controls each part by having the arithmetic unit perform calculations using a program stored in the memory device. For example, the control device 106 controls the amount of hydrogen produced in the hydrogen production facility 114, the amount of hydrogen absorbed / released in the hydrogen storage facility 116, the amount of power generated in the fuel cell 118, and the amount of energy stored / discharged in the battery 120, based on various information obtained from outside and inside the power supply system 100.

[0088] The control device 106 is connected to the electricity market price distribution device 32 and the resource aggregation system 34 via a communication network. The control device 106 has the functions of the management server 40 of the first embodiment and the functions of the gateway device 18 of the first embodiment. For example, the control device 106 may include a parameter acquisition unit 48, a demand forecasting unit 50, an operation plan creation unit 52, and an operation plan output unit 54, similar to the management server 40 of the first embodiment (not shown). Also, the control device 106 may include a DR data transmission unit 20 and a DR command acquisition unit 22, similar to the gateway device 18 of the first embodiment (not shown).

[0089] The control device 106, similar to the management server 40 in the first embodiment, creates an operation plan for the hydrogen production facility 114, including the amount of demand response available per unit time, based on the demand response cost per unit time. The configuration described in the first embodiment can be applied when creating the operation plan. Furthermore, the control device 106 controls the hydrogen production facility 114 based on the created operation plan, similar to the gateway device 18 in the first embodiment.

[0090] According to the power supply system 100 of the second embodiment, an efficient operating plan for the hydrogen production facility 114 can be created that takes into account the value of performing demand response (DR), and the overall economics of operating the hydrogen production facility 114 in the power supply system 100 can be improved.

[0091] The present disclosure has been explained above based on the second embodiment. The second embodiment is illustrative, and it will be understood by those skilled in the art that various modifications are possible for each component or combination of each processing process, and that such modifications are also within the scope of the present disclosure.

[0092] Any combination of the above-described embodiments and modifications is also useful as an embodiment of the present disclosure. The new embodiments resulting from such combinations will possess the combined effects of the respective embodiments and modifications. Furthermore, it will be understood by those skilled in the art that the functions to be performed by each component described in the claims can be achieved by each component shown in the embodiments and modifications individually or in combination thereof.

[0093] The technologies described in this disclosure can also be expressed as follows: [Item 1] Equipped with a processor (42), The aforementioned processor is (42), The first step is to create an operating plan for the hydrogen production facility (14) that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, Information processing device (40). This information processing device allows for the creation of an operating plan for hydrogen production facilities that quantitatively incorporates revenue from demand response, thereby improving the overall economic efficiency of operating hydrogen production facilities. [Item 2] The first step involves performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility (14) and the demand response fee per unit time. Information processing device (40) as described in item 1. According to this information processing device, it is possible to create a more efficient operation plan that quantitatively incorporates revenue from demand response using mathematical programming. [Item 3] The objective function further includes a term that shows the cost based on the amount of electricity used to operate the hydrogen production facility (14) per unit time, The first step further derives the amount of electricity required for the operation of the hydrogen production equipment (14) per unit time. Information processing device (40) as described in item 2. According to this information processing device, it is possible to determine the optimal value of electricity consumption per unit time for the operation of hydrogen production equipment and create a more useful operation plan. [Item 4] The constraints on the objective function include a constraint that specifies that the demand response amount must be kept within a range that is controllable during the operation of the hydrogen production facility (14). Information processing device (40) as described in item 2 or 3. According to this information processing device, it is possible to suppress situations where demand response commands cannot be responded to (demand response failure). [Item 5] The constraints on the objective function include a constraint that specifies that the amount of hydrogen remaining in the hydrogen storage facility (16), which is determined according to the amount of electricity used to operate the hydrogen production facility (14), must be kept within a predetermined range. An information processing device (40) as described in any of items 2 to 4. According to this information processing device, it is possible to suppress situations where demand response commands cannot be responded to due to the remaining amount of hydrogen in the hydrogen storage facility (demand response failure). [Item 6] Hydrogen production equipment (14), The system includes an information processing device (40) and The aforementioned information processing device (40) The first step is to create an operating plan for the hydrogen production facility (14) that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, Hydrogen production system (10). This hydrogen production system allows for the creation of an operating plan for the hydrogen production facility that quantitatively incorporates revenue from demand response, thereby improving the overall economic efficiency of operating the hydrogen production facility. [Item 7] A power supply system that uses electricity obtained from a renewable energy power generation device that generates electricity using renewable energy to supply power to the power grid, A power conditioner device that adjusts the electricity generated by the renewable energy power generation device, A storage battery capable of storing and discharging at least a portion of the surplus power that is not supplied to the power grid from the power adjusted by the power conditioner device, A hydrogen production facility that produces hydrogen using at least a portion of the surplus electricity that is not supplied to the power grid from the power adjusted by the power conditioner device, A hydrogen storage facility capable of storing and releasing hydrogen produced by the aforementioned hydrogen production facility, A fuel cell that generates electricity using hydrogen released from the aforementioned hydrogen storage facility, At least control means for controlling the operation of the hydrogen production equipment, Equipped with, The control means creates an operating plan for the hydrogen production facility, including the amount of demand response available per unit time, based on the demand response cost per unit time, and controls the hydrogen production facility based on the operating plan. Power supply system. This power supply system allows for the creation of operating plans for hydrogen production facilities that quantitatively incorporate revenue from demand response, thereby improving the overall economic efficiency of operating hydrogen production facilities. [Item 8] Computer (40) The first step is to create an operating plan for the hydrogen production facility (14) that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, Method for creating a driving plan. This method of creating operational plans allows for the creation of operational plans for hydrogen production facilities that quantitatively incorporate revenue from demand response, thereby improving the overall economic efficiency of operating hydrogen production facilities. [Item 9] Computer (40), The first step is to create an operating plan for the hydrogen production facility (14) that includes the amount of demand response available per unit time, based on the demand response cost per unit time, A second step is to output data including the operation plan created in the first step, and to execute the second step. Computer program. This computer program allows the computer to create an operating plan for hydrogen production facilities that quantitatively incorporates revenue from demand response, thereby improving the overall economic efficiency of operating hydrogen production facilities. [Industrial applicability]

[0094] The technology disclosed herein can be applied to devices and systems for creating operational plans for hydrogen production facilities. [Explanation of symbols]

[0095] 10 Hydrogen production system, 14 Hydrogen production equipment, 40 Management server, 44 Memory unit, 48 Parameter acquisition unit, 50 Demand forecasting unit, 52 Operation plan creation unit, 54 Operation plan output unit, 100 Power supply system, 102 Solar panels, 104 Power grid, 106 Control device, 110 PCS, 114 Hydrogen production equipment, 116 Hydrogen storage equipment, 118 Fuel cell, 120 Storage battery.

Claims

1. Equipped with a processor, The aforementioned processor, The first step is to create an operating plan for the hydrogen production facility that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, and then performing the following: The first step includes performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility and the demand response fee per unit time. The constraints on the objective function include determining the power consumption of the hydrogen production facility based on the amount of demand response possible per unit time and the probability of receiving a demand response command. Information processing device.

2. The objective function further includes a term that represents the cost based on the amount of electricity used to operate the hydrogen production facility per unit time, The first step further derives the amount of electricity required for the operation of the hydrogen production equipment per unit time. The information processing apparatus according to claim 1.

3. The constraints on the objective function further include constraints that specify that the demand response amount must be kept within a range that is controllable during the operation of the hydrogen production facility. The information processing apparatus according to claim 1 or 2.

4. The constraints on the objective function further include constraints that specify that the amount of hydrogen remaining in the hydrogen storage facility, which is determined according to the amount of electricity used to operate the hydrogen production facility, must be kept within a predetermined range. The information processing apparatus according to claim 1 or 2.

5. Hydrogen production equipment, Equipped with an information processing device, The aforementioned information processing device is The first step is to create an operating plan for the hydrogen production facility, which includes the amount of demand response that can be provided per unit time, based on the demand response cost per unit time. The second step involves outputting data including the operation plan created in the first step, and then performing the following: The first step includes performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility and the demand response fee per unit time. The constraints on the objective function include determining the power consumption of the hydrogen production facility based on the amount of demand response possible per unit time and the probability of receiving a demand response command. Hydrogen production system.

6. A power supply system that uses electricity obtained from a renewable energy power generation device that generates electricity using renewable energy to supply power to the power grid, A power conditioner device that adjusts the electricity generated by the renewable energy power generation device, A storage battery capable of storing and discharging at least a portion of the surplus power that is not supplied to the power grid from the power adjusted by the power conditioner device, A hydrogen production facility that produces hydrogen using at least a portion of the surplus electricity that is not supplied to the power grid from the power adjusted by the power conditioner device, A hydrogen storage facility capable of storing and releasing hydrogen produced by the aforementioned hydrogen production facility, A fuel cell that generates electricity using hydrogen released from the aforementioned hydrogen storage facility, At least control means for controlling the operation of the hydrogen production equipment, Equipped with, The control means performs the following steps: a first step of creating an operating plan for the hydrogen production facility, including the amount of demand response available per unit time, based on the demand response cost per unit time; and a second step of controlling the hydrogen production facility based on the operating plan. The first step includes performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility and the demand response fee per unit time. The constraints on the objective function include determining the power consumption of the hydrogen production facility based on the amount of demand response possible per unit time and the probability of receiving a demand response command. Power supply system.

7. Computers The first step is to create an operating plan for the hydrogen production facility that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, and then performing the following: The first step includes performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility and the demand response fee per unit time. The constraints on the objective function include determining the power consumption of the hydrogen production facility based on the amount of demand response possible per unit time and the probability of receiving a demand response command. Method for creating a driving plan.

8. On the computer, The first step is to create an operating plan for the hydrogen production facility that includes the amount of demand response available per unit time, based on the demand response cost per unit time, The second step involves outputting data including the operation plan created in the first step, and then executing the second step. The first step includes performing a mathematical programming operation on the objective function to derive the amount of demand response possible per unit time, The objective function includes a term representing the revenue based on the amount of electricity that can be used for demand response per unit time for the operation of the hydrogen production facility and the demand response fee per unit time. The constraints on the objective function include determining the power consumption of the hydrogen production facility based on the amount of demand response possible per unit time and the probability of receiving a demand response command. Computer program.

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