Operation plan adjustment calculation apparatus and operation plan adjustment method

Abstract

To create an operation plan capable of reducing energy costs and greenhouse gas emissions for the entire business.SOLUTION: An operation plan adjustment calculation apparatus comprises: a data acquisition unit for acquiring data from a business operator that represents the energy demand / supply range, purchase / sales costs per unit amount, and total demand / supply within a specified period; a constraint equation generation unit for generating a constraint equation based on the acquired data; an objective function generation unit for generating an objective function that represents a sum of the energy costs of all business operators based on the acquired data; and an optimization calculation unit for deriving an adjusted demand / supply plan by an optimization calculation using the constraint equation and the objective function as inputs so that the sum of the energy costs of all the business operators represented by the objective function is minimized.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to an operation plan adjustment calculation device and an operation plan adjustment method. [Background technology]

[0002] To realize a decarbonized society, in addition to electricity, the use of hydrogen and other energy media that emit less greenhouse gases (such as carbon dioxide) is being promoted. There is a social need to improve value by reducing energy costs and greenhouse gas emissions by coordinating the timing of the use of these multiple energy media among multiple businesses.

[0003] Regarding technology for coordinating the timing of electricity usage among multiple businesses as an energy medium, for example, Patent Document 1 describes the following: "A power generation planning method for a power generation facility group consisting of multiple power generation facilities that generate electricity to be supplied to a consumer group consisting of one or more consumers, the power generation planning method including: a total predicted power reception amount acquisition step for acquiring a total predicted power reception amount of the entire consumer group; and a power generation planning step for planning the planned power generation amount of each of the power generation facilities so that a predetermined evaluation value is optimized while satisfying the constraint conditions that the total planned power generation amount of the entire power generation facility group matches the total predicted power reception amount of the entire consumer group acquired by executing the total predicted power reception amount acquisition step, and the total adjustment margin for the total planned power generation amount of the entire power generation facility group is equal to or greater than a predetermined set total adjustment margin." [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2004-48852 A Summary of the Invention [Problem to be solved by the invention]

[0005] According to the technology described in Patent Document 1, a power generation plan can be created so that a predetermined evaluation value is optimized under the constraints that the total planned power generation amount of the entire power generation facility group matches the total predicted power reception amount of the entire consumer group, and the total adjustment margin is equal to or greater than a predetermined set value. However, since the power reception amount of the consumer is treated as a fixed value, it is difficult to optimize the operation of the consumer. In addition, energy media other than electricity are not taken into consideration.

[0006] The present invention has been made in consideration of the above-mentioned points, and aims to enable the creation of operation plans that can reduce energy costs and greenhouse gas emissions for multiple energy supply companies that handle multiple energy media including electricity and gas, and for energy demand companies as a whole. [Means for solving the problem]

[0007] The present application includes a number of means for solving at least some of the above-mentioned problems, examples of which are as follows.

[0008] In order to solve the above-mentioned problems, an operation plan adjustment calculation device according to one embodiment of the present invention is an operation plan adjustment calculation device that adjusts an energy operation plan, and is configured by a computer having one or more calculation devices, one or more memory resources, and one or more storage devices, and the calculation device includes a data acquisition unit that acquires data representing an energy demand range, a purchase cost per unit amount, and a total demand amount within a predetermined period from an energy demand business operator, and acquires data representing an energy supply range, a sales cost per unit amount, and a total supply amount within a predetermined period from an energy supply business operator, and the calculation device calculates, based on the acquired data, constraint equations relating to the demand range and the supply range, The system is characterized in that it comprises a constraint equation generation unit that generates constraint equations regarding the demand amount and the total supply amount, and constraint equations regarding the energy supply and demand balance; an objective function generation unit that generates an objective function representing the total energy costs of all businesses, consisting of the energy demand business and the energy supply business, based on the acquired data; and an optimization calculation unit that derives an adjusted demand plan for the energy demand business and an adjusted supply plan for the energy supply business through an optimization calculation using the constraint equation and the objective function as input, so that the total energy costs of all the businesses represented by the objective function is minimized. Effect of the Invention

[0009] According to the present invention, an operation plan can be created that can reduce energy costs and greenhouse gas emissions for multiple energy supply companies that handle multiple energy media including electricity and gas, and for energy demand companies as a whole.

[0010] Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a system including an operation plan adjustment calculation device according to one embodiment of the present invention. [Diagram 2]FIG. 2 is a diagram showing an example of the connection relationships between each business operator, a power grid, and a gas supply network. [Diagram 3] FIG. 3 is a sequence diagram showing an example of a data flow between each business operator and the coordinator. [Figure 4] FIG. 4 is a diagram illustrating an example of data transmitted from each business operator to the coordinator. [Diagram 5] FIG. 5 is a diagram showing an example of the configuration of an operation plan adjustment calculation device according to one embodiment of the present invention. [Figure 6] FIG. 6 is a flowchart illustrating an example of an operation plan adjustment process performed by the operation plan adjustment calculation device. [Figure 7] FIG. 7 is a diagram showing a display example of an input screen for a business operator. [Figure 8] FIG. 8 is a flowchart showing an example of a process for deriving a constraint equation and an objective function. [Figure 9] FIG. 9 is a diagram showing an example of the adjusted demand / supply plan transmitted from the adjuster to each business operator. [Figure 10] FIG. 10 is a diagram showing an example of a display of the confirmation screen for the adjuster. [Figure 11] FIG. 11 is a diagram showing a modified example of the definition of the cost transmitted from each business operator to the coordinator. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In all drawings for explaining an embodiment, the same components are generally given the same reference numerals, and repeated description thereof will be omitted. In the following embodiments, the components (including element steps, etc.) are not necessarily essential, except when specifically indicated, or when it is clearly considered essential in principle. In addition, when it is said that "consists of A," "consists of A," "has A," or "includes A," it does not exclude other elements, except when it is specifically indicated that only that element is included. Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of components, etc., it includes those that are substantially similar or similar to the shape, etc., except when it is specifically indicated, or when it is clearly considered not to be the case in principle.

[0013] <Configuration example of a system including an operation plan adjustment calculation device according to one embodiment of the present invention> FIG. 1 shows an example of the configuration of a system including an operation plan adjustment calculation device according to one embodiment of the present invention.

[0014] The system is configured by connecting, via a network 2, an operation plan adjustment calculation device 11 used by a coordinator 1, terminal devices (not shown) used by each of a plurality of electricity consumers 3a, 3b,..., a plurality of hydrogen consumers 4a, 4b,..., a plurality of power generation companies 5a, 5b,..., and water electrolysis companies 6a, 6b,..., and a terminal device (not shown) used in the wholesale electricity market 7.

[0015] Hereinafter, when there is no need to distinguish between the electric power consumers 3a, 3b,..., they will be simply referred to as electric power consumers 3. The same applies to the multiple hydrogen consumers 4a, 4b,..., the multiple power generation companies 5a, 5b,..., and the water electrolysis companies 6a, 6b,....

[0016] The coordinator 1 uses the operation plan adjustment calculation device 11 to adjust the operation plans of energy supply companies (power generation companies 5, etc.) and energy demand companies (electricity demand companies 3, etc.) so as to achieve reduction in energy costs and reduction in greenhouse gas emissions for the energy supply companies and energy demand companies as a whole.

[0017] However, the adjusted operation plans are not necessarily optimal for each energy supplier or energy consumer in terms of reducing energy costs and greenhouse gas emissions. In addition, the operation plans of energy suppliers and energy consumers are determined by a complex relationship between fuel procurement plans, worker work plans, etc., and are sensitive information related to management. For this reason, it is difficult for the coordinator 1, who is an outsider, to obtain the operation plans of the energy supplier or energy consumer.

[0018] Network 2 is a two-way communication network such as the Internet.

[0019] The electricity consumer 3 is, for example, an energy consumer such as a manufacturer that manufactures products using machines driven by electricity. The hydrogen consumer 4 is, for example, an energy supplier that generates electricity using hydrogen as fuel. In this case, the hydrogen consumer 4 is also the electricity producer 5 described below. The electricity producer 5 is an energy supplier that generates electricity. When the electricity producer 5 generates electricity using, for example, natural gas, hydrogen gas, a mixed gas of natural gas and hydrogen gas, or the like (collectively referred to as gas) as fuel, the electricity producer 5 is an energy consumer because it consumes gas, and can also be a hydrogen consumer 4. The water electrolysis producer 6 is an energy supplier that generates hydrogen by electrolyzing water, and is also an electricity consumer 3 because it consumes electricity.

[0020] Hereinafter, the electricity consumers 3, hydrogen consumers 4, power generation companies 5, and water electrolysis companies 6 will be collectively referred to as companies. Each company can refer to electricity price information disclosed by the wholesale electricity market 7.

[0021] FIG. 2 shows an example of the connection relationships between each business operator, the power grid 40, and the gas supply grid 50.

[0022] Each business entity exchanges at least one of electricity and gas, which are energy media, via at least one of the power grid 40 and the gas supply grid 50.

[0023] For example, an electricity consumer 3a consumes electricity supplied from a power grid 40. A power generation company 5a generates electricity using gas supplied from a gas supply grid 50 as fuel and supplies the generated electricity to the power grid 40. A water electrolysis company 6a electrolyzes water using electricity supplied from the power grid 40 to generate hydrogen and supplies the generated hydrogen to the gas supply grid 50.

[0024] The power grid 40 is also connected to the external power system 20, and when there is a power shortage in the power grid 40, the power grid 40 purchases power from the external power system 20 to make up for the shortage. Conversely, surplus power in the power grid 40 is sold to the external power system 20. Similarly, the gas supply grid 50 is also connected to the external gas pipeline 30, and when there is a gas shortage in the gas supply grid 50, the gas grid 40 purchases gas from the external gas pipeline 30 to make up for the shortage. Conversely, surplus gas in the gas supply grid 50 is sold to the external gas pipeline 30.

[0025] FIG. 3 is a sequence diagram showing an example of a data flow between each business operator and the coordinator.

[0026] First, each energy demand business operator (or its terminal device) creates an energy demand plan for a specified period (e.g., 24 hours) in accordance with its respective business plan, and transmits data D1 regarding the adjustable demand range, total demand amount, and cost per unit amount (purchase price) based on the demand plan to the operation plan adjustment calculation device 11 of the adjuster 1.

[0027] Similarly, each energy supply company (its terminal device) creates an energy supply plan for a specified period (e.g., 24 hours) in accordance with its respective business plan, and transmits data D1 regarding the adjustable supply range, total supply amount, and cost per unit amount (selling price) based on the supply plan to the coordinator 1 (process P1).

[0028] Hereinafter, the demand plan of the energy demand business operator and the supply plan of the energy supply business operator are collectively referred to as the demand / supply plan. Similarly, the adjustable demand range and supply range are referred to as the demand / supply range, and the total demand and total supply are referred to as the total demand / supply.

[0029] Next, the operation plan adjustment calculation device 11 of the adjuster 1 creates adjusted demand / supply plans for each business operator individually based on the data D1 from each business operator, and transmits the adjusted demand / supply plan data D2 to each business operator (process P2). After this, each business operator will operate in accordance with the adjusted demand / supply plan (process P3).

[0030] FIG. 4 shows an example of data D1 of demand / supply range, total demand / supply amount, and cost transmitted from each business operator to the adjuster 1. Data D1 includes at least one of energy demand / supply range, total energy demand / supply amount, and energy cost. The energy demand / supply range is defined by its upper limit and lower limit, and the energy cost is defined according to the demand / supply amount. The unit of energy is [kWh] for electricity and [Nm 3 In addition, when the power generation business operator 5 is also a hydrogen consumer 4 that generates power using hydrogen as fuel, the power generation business operator 5 may transmit to the adjuster 1 both the supplyable range of electricity and the demand range of hydrogen as the energy range, or may transmit only the supplyable range of electricity to the adjuster 1.

[0031] The example in the figure shows the demand range, total demand, and cost transmitted by an electricity consumer 3 and a hydrogen consumer 4. For example, data D1 transmitted by the electricity consumer 3 indicates that the total demand over 24 hours is 120 [kWh], demand increases around noon, and that a cost (purchase price) of 20 [￥ / kWh] is acceptable if the supply of electricity is close to the center of the demand range, and that a reduction to 15 [￥ / kWh] is requested if the supply of electricity is close to the upper or lower limit of the demand range.

[0032] For example, data D1 transmitted by hydrogen consumer 4 indicates that the total demand for hydrogen over 24 hours is 100 [NM 3 ], demand decreases around 12 o'clock, and the cost (purchase price) is 30 [￥ / Nm 3 ], and if hydrogen supply is near the upper or lower limit of the demand range, 20 [￥ / Nm 3 This indicates that they are demanding a price reduction of up to .

[0033] <Configuration example of the operation plan adjustment calculation device 11 according to one embodiment of the present invention> FIG. 5 shows an example of the configuration of an operation plan adjustment calculation device 11 according to an embodiment of the present invention.

[0034] The operation plan adjustment calculation device 11 includes the following functional blocks: a data acquisition unit 11a, a total demand / supply amount memory unit 11b, a demand / supply range and cost memory unit 11c, a constraint equation generation unit 11d, an objective function generation unit 11e, an optimization calculation unit 11f, an adjusted data memory unit 11g, a transmission unit 11h, and a display unit 11i.

[0035] The operation plan adjustment calculation device 11 is realized by a general computer such as a personal computer or a server computer. The computer includes a processor such as a central processing unit (CPU), a memory such as a dynamic random access memory (DRAM), a storage such as a hard disk drive (HDD) or a solid state drive (SSD), an input device such as a keyboard, a mouse, or a media drive, an output device such as a display, and a communication module such as an Ethernet (registered trademark) card or a Wi-Fi (registered trademark) adapter. The processor, memory, and storage included in the computer correspond to the calculation device, memory resource, and storage device of the present invention, respectively.

[0036] For example, the computer constituting the operation plan adjustment calculation device 11 realizes a data acquisition unit 11a, a constraint equation generation unit 11d, an objective function generation unit 11e, and an optimization calculation unit 11f by the processor executing a predetermined program stored in the memory.

[0037] The predetermined program executed by the processor may be stored in memory in advance, or may be downloaded from a predetermined server or the like via a removable medium (CD-ROM, flash memory, etc.) or a network such as the Internet, stored in storage, which is a non-transitory storage medium, and read out from the storage when necessary. For this reason, it is preferable for the computer to have an interface for reading data from removable media.

[0038] In addition, the operation plan adjustment calculation device 11 may be realized by one physical or logical computer, or may be realized by two or more physical or logical computers. The two or more physical or logical computers may be distributed and arranged on a network.

[0039] The data acquiring unit 11a displays the input screen 100 (FIG. 7) on the terminal device of each business operator, and acquires data D1 relating to the demand / supply range, total demand / supply amount, and cost inputted on the input screen 100 by each business operator.

[0040] The total demand / supply storage unit 11b and the demand / supply range and cost storage unit 11c are realized by computer storage. The total demand / supply storage unit 11b stores data on total demand / supply among the data D1 acquired from each business operator. The demand / supply range and cost storage unit 11c stores data on demand / supply range and cost among the data D1 acquired from each business operator.

[0041] The constraint equation generation unit 11d refers to the total demand / supply volume data stored in the total demand / supply volume memory unit 11b, and the demand / supply range and cost data stored in the demand / supply range and cost memory unit 11c, and generates constraint equations necessary for the optimization calculation (described in detail later).

[0042] The objective function generating unit 11e refers to the demand / supply range and cost data stored in the demand / supply range and cost storage unit 11c, and generates an objective function (described in detail later).

[0043] The optimization calculation unit 11f generates an adjusted demand / supply plan for each business operator through optimization calculation (optimization algorithm) using the generated constraint equation and objective function as input.

[0044] The adjusted data storage unit 11g is realized by a computer storage device. The adjusted data storage unit 11g stores the adjusted demand / supply plan for each business operator.

[0045] The transmission unit 11h is realized by a communication module of a computer. The transmission unit 11h transmits the adjusted demand / supply plan to the terminal device of each business operator.

[0046] The display unit 11i is realized by an output device of a computer. The display unit 11i displays a confirmation screen 200 (FIG. 10) for the adjuster to confirm the adjusted operation plan.

[0047] <Operation plan adjustment process by operation plan adjustment calculation device 11> 6 is a flowchart showing an example of an operation plan adjustment process performed by the operation plan adjustment calculation device 11. The operation plan adjustment process is started in response to a predetermined operation by the adjuster.

[0048] First, the data acquiring unit 11a displays the input screen 100 (FIG. 7) on the terminal device of each business operator and accepts input of the demand / supply range, the total demand / supply volume, and the cost. Then, the data D1 relating to the demand / supply range, the total demand / supply volume, and the cost input by each business operator on the input screen 100 is stored separately in the total demand / supply volume storage unit 11b and the demand / supply range and cost storage unit 11c (step S1).

[0049] FIG. 7 shows an example of the input screen 100 displayed on the terminal device of the power consumer 3, as an example of the input screen 100 displayed on the terminal device of each business operator.

[0050] The input screen 100 has a grid-shaped setting area 101 with the horizontal axis representing time period and the vertical axis representing demand, a selection area 103 for selecting cost, and an input area 104 for inputting the total demand for one day. The selection range in the selection area 103 displays the time period and demand represented by the square selected by the cursor 102. When inputting the cost in the selection area 103, in this figure, it is possible to select "not operable," "20 yen per unit amount," or "15 yen per unit amount." However, the amount per unit amount can be set arbitrarily by the business operator.

[0051] On the input screen 100 , the electricity consumer 3 selects a square in a setting area 101 with a cursor 102 , selects a cost using a radio button provided in a selection area 103 , and inputs the total demand for one day in an input area 104 .

[0052] Returning to Fig. 6, the data acquisition unit 11a next determines whether the current time has reached a preset time (step S2). Here, the preset time is, for example, the time when the market price of energy is disclosed, every 30 minutes, etc.

[0053] In step S2, if it is determined that the current time has not yet reached the preset time (NO in step S2), the process returns to step S1, and reception of data D1 from each business operator continues.

[0054] After that, when it is determined that the current time has reached the preset time (YES in step S2), the constraint equation generating unit 11d then reads out the total demand / supply data stored in the total demand / supply storage unit 11b, and the demand / supply range and cost data stored in the demand / supply range and cost storage unit 11c for each business operator. Also, the objective function generating unit 11e reads out the demand / supply range and cost data stored in the demand / supply range and cost storage unit 11c for each business operator (step S3).

[0055] Next, the constraint equation generating unit 11d generates a constraint equation based on the data read in step S3. Also, the objective function generating unit 11e generates an objective function based on the data read in step S3 (step S4).

[0056] 8 is a flowchart showing an example of the process of step S4. First, the constraint equation generating unit 11d generates a constraint equation for the energy demand / supply range as shown in Equation (1) or Equation (2) based on the data on the demand / supply range from each business operator (step S41).

[0057] P in Equation (1) n (t i ) is the time t i Demand / supply of electricity in, P n_min (t i ) is its lower limit, P n_max (t i ) is the upper limit. G in Eq. (2) m (ti ) is the time t i Gas demand / supply in G m (t i ), G m_min (t i ) is its lower limit, G m_max (t i ) is the upper limit.

[0058] Next, the constraint equation generation unit 11d generates a constraint equation for the total demand / supply of energy, such as shown in equation (3) or equation (4), based on the data on the total demand / supply from each business operator and the demand / supply range (step S42).

[0059] Equation (3) is the sum of the electricity demand / supply amount by business operator n at each time Σ ti {P n (t i )} is the total demand / supply W n Equation (4) expresses the total gas demand / supply amount by operator m at each time Σ ti {G m (t i )} represents the total demand / supply volume Yn.

[0060] Next, the constraint equation generating unit 11d generates a constraint equation regarding the balance between energy demand and supply by all businesses at each time, such as shown in equation (5) or equation (6), based on the data on the demand / supply range (step S43).

[0061] Equation (5) is i The sum of the electricity demand / supply of all businesses in Σ n {P n (t i )} and time t i The amount of power purchased from the external power grid 20 in ext (t i ) is 0, which indicates that the demand and supply of electricity by all companies are in balance. i The sum of gas demand / supply of all businesses in Σ m {G m(t i )} and time t i The amount of gas purchased from an external gas pipeline 30 in ext (t i ) is zero, indicating that there is a balance between gas demand and supply for all operators.

[0062] Next, the constraint equation generating unit 11d generates a constraint equation regarding the relationship between gas and electricity, such as that shown in equation (7) or equation (8) (step S44).

[0063] Equation (7) shows the relationship between gas and electricity at a power generation company 5 (for example, the power generation company 5a shown in FIG. 2) that generates electricity using gas as fuel, and P j (t i ) is the amount of electricity generated using gas as fuel, γ j,G→P is the gas-to-electricity conversion efficiency, G j (t i ) is the amount of gas consumed as fuel.

[0064] Equation (8) shows the relationship between gas (hydrogen) and electricity at a water electrolysis company 6 that uses electricity to generate gas (hydrogen), and G k (t i ) is the amount of electricity generated using gas as fuel, γ K,P→G is the power-to-gas conversion efficiency, P k (t i ) is the amount of electricity consumed by water electrolysis.

[0065] Note that the conversion efficiency from gas to electricity and from electricity to gas differs depending on the provider, so the respective values ​​should be obtained from each provider. Also, the relationship between gas and electricity is not limited to the proportional relationship shown in equations (7) and (8), and may be, for example, a quadratic form or other relational expression.

[0066] Next, the objective function generating unit 11e refers to the data on the demand / supply range and cost stored in the demand / supply range and cost storage unit 11c and generates an objective function as shown in Equation (9) (step S45). The objective function is formulated so as to minimize the cost of acquiring energy and maximize the profits obtained from the energy supply for the entire business.

[0067] In addition, in formula (9), C Pn (t i ,P n ) is the cost per unit of electricity [kWh] required to obtain electricity, or the revenue per unit of electricity obtained from supplying electricity. Pext (t i ) is the cost per unit of power purchased from the external power system 20 when there is a power shortage in the power grid 40. Pext (t i ) may be obtained from the wholesale electricity market 7 or may be a fixed value. Similarly, C Gm (t i ,G m ) is the unit amount required to obtain gas [Nm 3 ] or the revenue per unit of gas supply. Gext (t i ) is the cost of purchasing gas from the external gas pipeline 30 when there is a gas shortage in the gas supply network 50.

[0068] And, Σ in equation (9) ti,n,m is the total number of operators n, m and time t i This means integrating the above for the energy cost per day of the business operator, and the objective function can be used to obtain the energy cost per day of the business operator. This concludes the description of the process in step S4 in FIG.

[0069] Returning to FIG. 6, the optimization calculation unit 11f then generates data D2 of the adjusted demand / supply plan for each business operator by performing optimization calculation using the constraint equations and the objective function generated in step S4 as input (step S5). The optimization calculation uses, for example, a mathematical optimization solution to calculate a solution that satisfies the constraint equations and minimizes the objective function. As a mathematical optimization solution, the simplex method can be applied to linear programming problems. In the case of nonlinear problems, the Lagrange method of undetermined constants can be applied. The effects of the present invention can also be achieved when quasi-optimization is obtained by utilizing metaheuristics techniques such as genetic algorithms and particle swarm optimization.

[0070] Next, the transmission unit 11h transmits data D2 of the adjusted demand / supply plan to the terminal device of each business operator. In addition, the display unit 11i displays the data D2 of the adjusted demand / supply plan on a confirmation screen 200 (FIG. 10) for the adjuster to confirm the adjusted demand / supply plan. This concludes the description of the operation plan adjustment process by the operation plan adjustment calculation device 11.

[0071] 9 shows data D2 of an adjusted demand plan transmitted to an electricity consumer 3a as an example of data D2 of an adjusted demand / supply plan transmitted to a terminal device of each business operator. The bold line in the graph in the figure represents the adjusted demand plan.

[0072] FIG. 10 shows an example of a confirmation screen 200 displayed on the display unit 11i of the operation plan adjustment calculation device 11. As shown in FIG.

[0073] The confirmation screen 200 displays the demand / supply range set by the business operator (electricity consumer in the case of the figure) and the adjusted demand / supply plan (demand plan in the case of the figure) that falls within the demand / supply range. The adjuster can check the adjusted demand / supply plan on the confirmation screen 200.

[0074] It should be noted that a screen similar to the confirmation screen 200 may also be displayed on the business operator's terminal device so that the business operator can grasp the adjusted demand / supply plan.

[0075] According to the operation plan adjustment calculation device 11, it is possible to create a demand / supply plan that can realize reduction in energy costs and reduction in greenhouse gas emissions for a plurality of energy supply companies and energy demand companies as a whole.

[0076] <Modification> FIG. 11 shows a modified example of the definition of the cost of energy among the data D1 of the demand / supply range, the total demand / supply amount, and the cost transmitted from the business operator to the adjuster 1.

[0077] As described above with reference to Figure 4, among the data D1 on demand / supply range, total demand / supply volume, and cost transmitted from the business operator to the adjuster 1, the cost of energy was defined according to the demand / supply volume.

[0078] In this modified example, the cost of energy is defined as the difference from the base price when a deviation occurs in the demand / supply volume, based on the price in the demand plan before adjustment. However, in this case, it is necessary for the business operator to transmit the demand plan before adjustment to the adjuster 1.

[0079] Even when this modified example is adopted, it is possible to obtain the same functions and effects as the embodiment before the modification.

[0080] The present invention is not limited to the above-described embodiment, and various modifications are possible. For example, the above-described embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to those having all of the configurations described. In addition, it is possible to replace a part of the configuration of one embodiment with a configuration of another embodiment, or to add a part of the configuration of another embodiment.

[0081] 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 a configuration of another embodiment. Furthermore, a configuration of another embodiment may be added to a configuration of one embodiment. Furthermore, a part of the configuration of each embodiment may be added, deleted, or replaced with another configuration.

[0082] Furthermore, each of the aforementioned 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.

[0083] 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.

[0084] In addition, the control lines and information lines shown are those considered necessary for the explanation, and do not necessarily show all the control lines and information lines necessary for implementation. In reality, it can be considered that almost all components are connected to each other. [Explanation of symbols]

[0085] 1... Adjuster 3...Electricity consumer 4. Hydrogen consumers 5. Power generation companies 6...Water electrolysis business operator 7. Wholesale Electricity Market 11. Operation plan adjustment calculation device 11a Data acquisition section 11b...supply amount storage section 11c Supply scope and cost storage section 11d...constraint expression generator 11e...Objective function generator 11f Optimization calculation section 11g... Adjusted data storage section 11h Transmitter 11i...Display section 20...External power system 30. External gas pipeline 40...power grid 50 Gas supply network 100... Input screen 200...Confirmation screen

Claims

1. An operation plan adjustment calculation device for adjusting an energy operation plan, The system is configured by a computer having one or more arithmetic units, one or more memory resources, and one or more storage devices, a data acquisition unit that acquires data representing a demand range of energy, a purchase cost per unit amount, and a total demand amount within a predetermined period from an energy demand business operator, and acquires data representing a supply range of energy, a sales cost per unit amount, and a total supply amount within a predetermined period from an energy supply business operator; a constraint equation generation unit configured to generate, based on the acquired data, a constraint equation regarding the demand range and the supply range, a constraint equation regarding the total demand amount and the total supply amount, and a constraint equation regarding the balance between energy supply and demand; an objective function generation unit configured to generate an objective function representing a total sum of energy costs of all businesses including the energy demand business and the energy supply business based on the acquired data; and an optimization calculation unit that derives an adjusted demand plan for the energy demand business operator and an adjusted supply plan for the energy supply business operator through optimization calculation using the constraint equation and the objective function as inputs, so that the sum of the energy costs of all the business operators represented by the objective function is minimized.

2. The operation plan adjustment calculation device according to claim 1, The purchase cost per unit amount is determined according to a demand amount, The operation plan adjustment calculation device is characterized in that the sales cost per unit amount is determined according to a supply amount.

3. The operation plan adjustment calculation device according to claim 1, The data acquisition unit acquires a pre-adjustment demand plan from the energy demand business operator and acquires a pre-adjustment supply plan from the energy supply business operator, The purchase cost per unit amount is determined as a difference from a purchase price in the demand plan before the adjustment when a deviation occurs in the demand amount, An operation plan adjustment calculation device, characterized in that the sales cost per unit amount is determined as a difference from the sales price in the supply plan before the adjustment when a deviation occurs in the supply amount.

4. The operation plan adjustment calculation device according to claim 1, An operation plan adjustment calculation device comprising: a display unit that displays a confirmation screen showing at least one of the adjusted demand plan for the energy demand company and the adjusted supply plan for the energy supply company.

5. The operation plan adjustment calculation device according to claim 1, The operation plan adjustment calculation device, characterized in that the objective function represents the sum of the product of the energy demand amount and purchase price of the energy demand business operator, the product of the energy supply amount and sales price of the energy supply business operator, and the product of the purchase amount and purchase price of energy purchased from an external energy network, over a specified period of time.

6. The operation plan adjustment calculation device according to claim 1, The operation plan adjustment calculation device, wherein the constraint equation generation unit generates a constraint equation related to water electrolysis in which gas is produced using electric power, and a constraint equation related to power generation using gas as fuel.

7. An operation plan adjustment method by an operation plan adjustment calculation device that adjusts an energy operation plan, The operation plan adjustment calculation device is configured by a computer having one or more calculation devices, one or more memory resources, and one or more storage devices. The operation plan adjustment method includes: a data acquisition step in which the computing device acquires data representing an energy demand range, a purchase cost per unit amount, and a total demand amount within a predetermined period from an energy demand business operator, and acquires data representing an energy supply range, a sales cost per unit amount, and a total supply amount within a predetermined period from an energy supply business operator; a constraint equation generating step of generating a constraint equation regarding the demand range and the supply range, a constraint equation regarding the total demand amount and the total supply amount, and a constraint equation regarding the energy supply and demand balance based on the acquired data; an objective function generation step in which the calculation device generates an objective function representing a total sum of energy costs of all businesses, including the energy demand business and the energy supply business, based on the acquired data; an optimization calculation step in which the calculation device performs an optimization calculation using the constraint equation and the objective function as inputs to derive an adjusted demand plan for the energy demand company and an adjusted supply plan for the energy supply company so that the sum of the energy costs of all the companies represented by the objective function is minimized.

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