Operation plan formulation device and operation plan formulation method

Abstract

To provide an operation plan formulating device and an operation plan formulation method capable of formulating an operation plan in a power generation system having an energy storage system.MEANS FOR SOLVING THE PROBLEM: According to an embodiment, there is provided an operation plan formulation device including: an input unit configured to acquire power demand data, re-energy generation data, thermal power generation data, and energy storage data related to an energy storage system and supply and demand adjustment thereof; a storage unit; a model creation unit configured to generate a constraint expression including an evaluation function indicating a sum of fuel costs related to a thermal power plant and at least a condition related to a stored energy amount or a stored energy free amount necessary to perform supply and demand adjustment in the energy storage system; an optimization calculation unit configured to execute calculation for optimizing a fuel cost based on the evaluation function and the constraint expression; and an output unit configured to output operation plan data of the thermal power plant and the stored energy system based on a calculation result obtained by the optimization calculation.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The embodiments relate to an operation plan development device and an operation plan development method. [Background technology]

[0002] There has been proposed an operation plan formulation device that formulates an operation plan for a power plant, etc. The operation plan formulation device performs optimization calculations, etc., in order to minimize costs and maximize profits in, for example, a thermal power plant. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 5452714 [Patent Document 2] Patent No. 7345331 [Patent Document 3] Patent No. 7008580 [Patent Document 4] Patent No. 7241644 [Non-patent literature]

[0004] [Non-Patent Document 1] Shunya Yamashita et al., "Economic Evaluation of a Multi-Regional System with a Wide-Area Trading Market for Supply and Demand Adjustment Capability," Transactions on Electrical Engineering of the Institute of Electrical Engineers of Japan B (Power and Energy Journal), Institute of Electrical Engineers of Japan, January 1, 2022, Vol. 142, No. 1, pp. 5-13 Summary of the Invention [Problem to be solved by the invention]

[0005] In recent years, power generation systems have been combined with energy storage systems such as pumped storage power plants and energy storage devices to improve efficiency. Furthermore, recent power generation systems often coordinate with power generation systems that use a variety of energy sources to balance supply and demand. However, conventional operational planning systems have not been able to minimize costs or maximize profits for power generation systems that have energy storage systems and balance supply and demand.

[0006] The operation plan formulation device and operation plan formulation method of the embodiment have been made to solve such problems, and aim to provide an operation plan formulation device and operation plan formulation method that can formulate an operation plan in a power generation system that has an energy storage system. [Means for solving the problem]

[0007] The operation plan development device of the embodiment includes an input unit that acquires power demand data related to power demand, renewable energy power generation data related to renewable energy power generation, thermal power generation data related to thermal power plants, and energy storage data related to an energy storage system capable of storing and releasing energy and its supply and demand adjustment; a memory unit that stores the power demand data, renewable energy power generation data, thermal power generation data, and energy storage data acquired by the input unit; a model creation unit that generates, based on the power demand data, renewable energy power generation data, thermal power generation data, and energy storage data, an evaluation function that indicates the total fuel cost related to the thermal power plant and a constraint equation that includes conditions related to at least the amount of stored energy or available stored energy required to implement supply and demand adjustment related to the energy storage system; an optimization calculation unit that executes calculations to optimize the fuel cost based on the evaluation function and the constraint equation; and an output unit that outputs operation plan data for the thermal power plant and the energy storage system based on calculation results from the optimization calculations. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing an overview of an operation plan development device according to a first embodiment. [Figure 2]1 is a block diagram showing a functional configuration of an operation plan development device according to a first embodiment. [Figure 3] 4 is a flowchart showing the operation of the operation plan development device according to the first embodiment. [Figure 4] FIG. 3 is a diagram illustrating an example of interconnection line data input to the operation plan development device according to the first embodiment. [Figure 5] FIG. 3 is a diagram showing an example of thermal power generation unit data input to the operation plan development device according to the first embodiment. [Figure 6] FIG. 3 is a diagram showing an example of pumped storage power generation unit data input to the operation plan development device according to the first embodiment. [Figure 7] FIG. 3 is a diagram illustrating an example of operation plan data output by the operation plan development device according to the first embodiment. [Figure 8] FIG. 10 is a block diagram showing the functional configuration of an operation plan development device according to a second embodiment. [Figure 9] 10 is a flowchart showing the operation of the management plan development device according to the second embodiment. [Figure 10] 10 is a flowchart showing the operation of the management plan development device according to the third embodiment. [Figure 11] FIG. 11 is a diagram illustrating a calculation operation of the operation plan development apparatus according to the fourth embodiment. [Figure 12] FIG. 11 is a block diagram showing the functional configuration of an operation plan development device according to a fifth embodiment. [Figure 13] FIG. 13 is a block diagram showing the functional configuration of a display output unit in the operation plan development device according to the sixth embodiment. [Figure 14] 13 is a flowchart showing an example of the operation of a display output unit according to the sixth embodiment. [Figure 15] FIG. 13 is a diagram illustrating an example of a display output of the operation plan development device according to the sixth embodiment. [Figure 16] FIG. 13 is a diagram illustrating an example of a display output of the operation plan development device according to the sixth embodiment. [Figure 17] FIG. 13 is a diagram illustrating an example of a display output of the operation plan development device according to the sixth embodiment. [Figure 18]FIG. 13 is a diagram illustrating an example of a display output of the operation plan development device according to the sixth embodiment. [Figure 19] FIG. 13 is a diagram illustrating an example of a display output of the operation plan development device according to the sixth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] (First embodiment) Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the following description, common components will be denoted by common reference numerals, and duplicated explanations will be omitted. Fig. 1 is a block diagram showing an overview of an operation plan development device according to a first embodiment.

[0010] 1, an operation plan formulation device 1 of the embodiment can be connected to a power supply configuration optimization device 2 and an operation status simulator 3. The power supply configuration optimization device 2 outputs data related to the power supply configuration for a certain year. The data related to the power supply configuration includes, for example, the specifications of thermal power plants and pumped storage power plants in each area, the interconnection line capacity, etc.

[0011] The operation plan formulation device 1 of the embodiment formulates an operation plan using data on the power supply configuration (power supply configuration data) generated by the power supply configuration optimization device 2. The operation plan formulation device 1 outputs an operation plan for a certain period. The operation status simulator 3 can simulate the operation status in a situation where the power demand and renewable energy output change in an actual operation scenario, using the operation plan formulated by the operation plan formulation device 1 as basic data.

[0012] 1, the operation plan development device 1 of the embodiment includes an input unit 10, a storage unit 20, a calculation unit 30, and a display output unit 40. The operation plan development device 1 can be realized by, for example, a computer device including an input interface corresponding to the input unit 10, a storage medium corresponding to the storage unit 20, a calculation unit corresponding to the calculation unit 30, and an output interface corresponding to the display output unit 40. In other words, the operation plan development device 1 of the embodiment can realize predetermined functions in cooperation with hardware resources constituting the computer device.

[0013] The input unit 10 is an input interface for acquiring data. Examples of the input unit 10 include a connection interface for a storage medium, a network adapter for connecting to the power supply configuration optimizing device 2, and a keyboard or mouse that allows a user to directly input data.

[0014] The storage unit 20 is an auxiliary storage device in the operation plan development device 1. The storage unit 20 can be realized by, for example, a storage medium such as a hard disk drive or an SSD, a non-volatile memory, or the like. The storage unit 20 may be configured by a database. The storage unit 20 can store the mathematical formulas calculated by the calculation unit 30, the calculation procedures, the power source configuration data acquired by the input unit 10, the developed operation plan, and the like.

[0015] The calculation unit 30 is a calculation block that executes various calculations in the operation plan development device 1. The calculation unit 30 expands the programs and calculation formulas stored in the storage unit 20 into a memory serving as a main storage device (not shown), and executes the programs and calculations. The calculation unit 30 has a function for creating a model including an evaluation function to be optimized and a constraint formula that defines the constraint conditions, an optimization solver function that performs optimization calculations on the evaluation function, and the like.

[0016] The display output unit 40 is an output interface that outputs the calculation results of the calculation unit 30. The display output unit 40 can generate screen display information to be displayed on a display device (not shown). The display output unit 40 may output the calculation results of the calculation unit 30 that constitute the screen display information as numerical data to the storage unit 20 or the operational situation simulator 3.

[0017] Next, the functional configuration of the operation plan development device 1 according to the embodiment will be described in detail with reference to Fig. 2 and Fig. 4 to Fig. 7. Fig. 2 is a block diagram showing the functional configuration of the operation plan development device according to the first embodiment. Fig. 4 is a diagram showing an example of interconnection line data input to the operation plan development device according to the first embodiment. Fig. 5 is a diagram showing an example of thermal power generation unit data input to the operation plan development device according to the first embodiment. Fig. 6 is a diagram showing an example of pumped storage power generation unit data input to the operation plan development device according to the first embodiment. Fig. 7 is a diagram showing an example of operation plan data output by the operation plan development device according to the first embodiment.

[0018] 2, the input unit 10 acquires power supply configuration data such as power demand data 110, fuel data 120, renewable energy power generation data 130, interconnection line data 140, thermal power generation unit data 150, pumped storage power generation unit data 160, and reservoir data 170. The input unit 10 may acquire the data directly from the power supply configuration optimizing device 2 via a network (not shown), or may acquire the data via a storage medium.

[0019] 2 , the storage unit 20 has an electric power demand database (DB) 210, a fuel database (DB) 220, a renewable energy power generation database (DB) 230, an interconnection line database (DB) 240, a thermal power generation database (DB) 250, a pumped storage power generation database (DB) 260, and a reservoir database (DB) 270. The input unit 10 stores the acquired power source configuration data such as the electric power demand data 110, the fuel data 120, the renewable energy power generation data 130, the interconnection line data 140, the thermal power generation unit data 150, the pumped storage power generation unit data 160, and the reservoir data 170 in the electric power demand DB 210, the fuel DB 220, the renewable energy power generation DB 230, the interconnection line DB 240, the thermal power generation DB 250, the pumped storage power generation DB 260, and the reservoir DB 270 constructed in the storage unit 20.

[0020] The power demand data 110 is time-series data (unit: MWh) of power demand for each area (power area), such as Tohoku or Tokyo. The power demand is also the supply power that the power generation system must satisfy. The power demand DB 210 accumulates the power demand data 110 in time units, such as 30 minutes or 1 hour, depending on the purpose of use of the power demand data 110 and the accuracy required for the power demand data 110.

[0021] The fuel data 120 is data indicating the unit fuel cost for each fuel type, such as coal, natural gas, heavy oil, etc. The fuel data 120 is expressed in units of [yen / MWh] or [yen / MJ]. The fuel DB 220 accumulates the fuel data 120.

[0022] The renewable energy power generation data 130 is, for example, time-series data of power generated by renewable energy power generation for each area. The renewable energy power generation data 130 is expressed in units of, for example, MWh. The renewable energy power generation DB 230 accumulates the renewable energy power generation data 130.

[0023] The grid line data 140 is data indicating, for example, the capacity and loss of each grid line connecting areas. The power demand data 110 and the renewable energy power generation data 130 are time-series data for each area, but the grid line data 140 is time-series data spanning the areas. The grid line DB 240 accumulates the grid line data 140.

[0024] Fig. 4 is an example of the interconnection line data 140. As shown in Fig. 4, the interconnection line data 140 of the embodiment may include a sending area indicating a party from which power is exchanged via an interconnection line, a receiving area indicating a party from which power is exchanged via an interconnection line, a forward capacity to the party from which power is exchanged, a reverse capacity from the party from which power is exchanged, a forward loss rate to the party from which power is exchanged, and a reverse loss rate from the party from which power is exchanged. The purpose of including both the forward loss rate and the reverse loss rate is to optimize the entire power system.

[0025] The thermal power generation unit data 150 is, for example, data relating to the characteristics of each thermal power generation unit. Specifically, the thermal power generation unit data 150 is data indicating the maximum and minimum output [MWh], input energy calculation coefficient (slope and intercept), startup cost [yen / start-up count], maximum output increase power [MWh / unit time], maximum output decrease power [MWh / unit time], minimum shutdown time [unit time], fuel type, etc. of each thermal power generation unit. The thermal power generation DB 250 stores the thermal power generation unit data 150.

[0026] Fig. 5 is an example of the thermal power generation unit data 150. As shown in Fig. 5, the thermal power generation unit data 150 of the embodiment may include a thermal power generation unit number for identifying the thermal power generation unit, a maximum amount of generated power for each thermal power generation unit, a minimum amount of generated power, a fuel cost unit, a slope of the input energy calculation coefficient, an intercept of the input energy calculation coefficient, and the like.

[0027] The pumped storage power generation unit data 160 is data indicating, for example, the maximum amount of power generation, maximum amount of pumped storage power, minimum amount of power generation, and minimum amount of pumped storage power [MWh] of each pumped storage power generation unit as an energy storage system, the slope and intercept when the power generation efficiency is expressed as a linear equation, and the slope and intercept when the pumping efficiency is expressed as a linear equation. The pumped storage power generation unit DB 260 accumulates the pumped storage power generation unit data 160. Note that the input energy calculation coefficient of the thermal power generation unit, the power generation efficiency and pumping efficiency of the pumped storage power generation unit may each be expressed as a linear equation, but are not limited to this. They may also be expressed as a quadratic equation, or the quadratic equation may be expressed as a piecewise linear equation of the linear equation.

[0028] Fig. 6 is an example of the pumped storage power generation unit data 160. As shown in Fig. 6, the pumped storage power generation unit data 160 of the embodiment may include a pumped storage power generation unit number that identifies the pumped storage power generation unit, a maximum amount of power generation, a maximum amount of pumped storage power, a minimum amount of power generation, a minimum amount of pumped storage power, a pumping (charging) efficiency, a power generation efficiency, etc. The pumped storage power generation unit data 160 may include a parameter that indicates the amount of supply and demand adjustment related to the pumped storage power plant.

[0029] The reservoir data 170 is, for example, data relating to the upper and lower reservoirs of each pumped storage power plant. Specifically, examples of the reservoir data 170 include the effective head (effective head) [m] between the upper and lower reservoirs, the maximum water level [m] of the upper or lower reservoir, the initial water level [m] and final water level [m] of the upper or lower reservoir, and the reservoir area [m2] of the upper or lower reservoir. The reservoir DB 270 stores the reservoir data 170.

[0030] As shown in FIG. 2, the calculation unit 30 includes a model creation unit 32 and an optimization calculation unit 34. The model creation unit 32 is a functional block that generates an evaluation function and constraint equations. These equations may be stored in advance in the storage unit 20. The model creation unit 32 generates an evaluation function for evaluating fuel costs and its constraint equation(s) based on power demand data 110, fuel data 120, renewable energy power generation data 130, interconnection line data 140, thermal power generation unit data 150, pumped storage power generation unit data 160, and reservoir data 170. Here, the pumped storage power generation unit data 160 as an energy storage system may include parameters for supply and demand adjustment related to the pumped storage power plant as an energy storage system.

[0031] 2 , the model creation unit 32 includes an evaluation function creation unit 310, an energy supply and demand balance constraint equation creation unit 315, an energy storage balance constraint equation creation unit 320, a maximum / minimum output constraint equation creation unit 325, an output change rate constraint equation creation unit 330, a minimum stop time constraint equation creation unit 335, a reservoir water level constraint equation creation unit 340, a simultaneous execution prohibition constraint equation creation unit 345, a supply and demand adjustment supply and demand balance constraint equation creation unit 350, a maximum supply and demand adjustment constraint equation creation unit 355, and an other constraint equation creation unit 360. These various creation units are functional elements that generate predetermined evaluation functions, constraint equations, etc. based on the data stored in each database of the storage unit 20.

[0032] The optimization calculation unit 34 is a functional block that performs optimization calculations on the evaluation functions and constraint equations generated by the various creation units of the model creation unit 32. That is, the optimization calculation unit 34 performs optimization calculations using a mixed integer programming optimization solver or the like, based on the generated evaluation functions and constraint equations. The optimization calculations performed by the optimization calculation unit 34 are not limited to mixed integer programming. For example, genetic algorithms, quantum annealing, etc. may also be applied. The optimization calculation unit 34 sends the results of the optimization process to the display output unit 40. The results of the optimization process are used as an operation plan for the thermal power plant.

[0033] The display output unit 40 outputs the operation plan data 42 to a screen, outputs a file, and records the data based on the results of the optimization process and the data in the various databases in the storage unit 20 .

[0034] 7 is an example of the operation plan data 42. As shown in FIG. 7, the operation plan data of the embodiment may include time, output of a thermal power generation unit, the amount of power generated by a pumped storage power generation unit, the amount of pumped storage power by a pumped storage power generation unit, the amount of power increased by a thermal power generation unit for supply and demand adjustment, the amount of power increased by a pumped storage power generation unit for supply and demand adjustment, and the amount of power decreased by a pumped storage power generation unit for supply and demand adjustment. Here, "upward supply and demand adjustment" refers to supplying an amount of power greater than the power generation plan or consuming an amount of power less than the demand plan in response to an upward adjustment command, and "downward supply and demand adjustment" refers to supplying an amount of power less than the power generation plan or consuming an amount of power greater than the demand plan in response to a downward adjustment command.

[0035] (Function of calculation unit 30) Next, the function of the calculation unit 30 of the embodiment will be described. The evaluation function creation unit 310 of the embodiment creates an evaluation function given by Equation (1).

[0036]

number

[0037] In this way, the evaluation function shown in the formula (1) represents the sum of fuel costs based on the fuel data 120 including the fuel unit price and fuel cost unit price at the thermal power plant and the thermal power generation unit data 150. In addition, the evaluation function also includes a u ya b u Pon u,t Or omit P u,t It may be a quadratic function of the above equation, or a piecewise linear quadratic function.

[0038] The energy supply and demand balance constraint equation creating unit 315 of the embodiment creates a constraint equation given by Equation (2).

[0039]

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[0040] As such, the constraint equation given by equation (2) includes parameters related to the power demand, the amount of power generated by the interconnection line, the amount of power generated and pumped (charging) power by a pumped storage power plant as an energy storage system, and the amount of power generated by renewable energy power generation such as PV and wind power. These parameters can be obtained from power demand data 110, renewable energy power generation data 130, interconnection line data 140, pumped storage power generation unit data 160, etc. The power generation system has multiple power areas under the jurisdiction of multiple electric power companies in different regions across the country, and each area is connected by an interconnection line z. This makes it possible to exchange power and other resources between regions using the interconnection lines.

[0041] The energy storage balance constraint equation creation unit 320 generates constraint equations (energy storage balance constraint equations for the pumped storage power generation unit) given by equations (3) and (4). Equations (3) and (4) include parameters and terms that indicate the impact on the reservoir water volume when supply and demand adjustment is assumed to be performed. That is,

[0042]

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[0043]

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[0044] As described above, the constraint equations given by Equation (3) and Equation (4) include, as a parameter, the amount of power related to the supply and demand adjustment of pumped storage (charging) in a pumped storage power plant serving as an energy storage system. This parameter can be acquired from the pumped storage power generation unit data 160, the reservoir data 170, etc. The supply and demand adjustment activation rate of a pumped storage power plant indicates the rate at which a supply and demand adjustment command is activated per unit time (for example, every 30 minutes). This activation rate can be set from statistical values ​​acquired during the operation of the power generation system, the average number of times that supply and demand adjustment is activated, etc.

[0045] Furthermore, the energy storage balance constraint equation generator 320 generates the formulas (5) and (6) as the water storage energy of reservoir j.

[0046]

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[0047]

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[0048] The constraint equations given by Equations (5) and (6) include parameters related to the conditions of the amount of stored energy (amount of stored energy) and the amount of free stored energy (amount of free stored energy) in the pumped storage power plant as an energy storage system. These parameters can be acquired from the reservoir data 170.

[0049] The maximum / minimum output constraint equation creating unit 325 generates the constraint equations (maximum / minimum output constraint equations of the thermal power generation unit) given by the equations (7) and (8).

[0050]

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[0051]

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[0052] The maximum / minimum output constraint equation creating unit 325 further generates the maximum and minimum output constraint equations for the pumped storage power generation unit given by equations (9) to (12).

[0053]

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[0054]

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[0055]

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[0056]

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[0057] The output change rate constraint equation creation unit 330 generates a constraint equation for the output increase change rate of the thermal power generation unit given by equation (13) and a constraint equation for the output decrease change rate of the thermal power generation unit given by equation (14).

[0058]

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[0059]

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[0060] The minimum outage time constraint equation creating unit 335 creates a minimum outage time constraint equation for the thermal power generation unit given by equation (15).

[0061]

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[0062] The reservoir water level constraint equation generator 340 generates the constraint equations given by equations (16) and (17).

[0063]

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[0064]

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[0065] Given equation (17), the constraint is that the water storage volume can withstand even if the supply and demand adjustment activation rate at time t is 100%. If the right-hand side of equation (17) is set to infinity, the supply and demand adjustment activation rate at time t will also be a constraint that holds as ηact, and such a method is acceptable.

[0066] The simultaneous execution prohibition constraint formula creating unit 345 generates a constraint formula for prohibiting simultaneous execution of power generation and pumping (charging) of the pumped storage power generation unit given by the formula (18).

[0067]

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[0068] The supply and demand adjustment supply and demand balance constraint equation creation unit 350 generates constraint equations given by equations (19) and (20). Equations (19) and (20) may be inequalities where the left side is greater than or equal to the right side, rather than equalities. Also, while only supply and demand adjustment for forecast errors has been discussed here, a separate equation may be generated for supply and demand adjustment for Load Frequency Control (LFC), which is supply and demand adjustment for intra-hour fluctuations.

[0069]

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[0070]

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[0071] The maximum supply and demand adjustment constraint equation creating unit 355 generates the maximum supply and demand adjustment constraint equations for the thermal power generation unit given by the formulas (21) and (22).

[0072]

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[0073]

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[0074] Furthermore, the maximum supply and demand adjustment constraint equation creating unit 355 generates the maximum supply and demand adjustment constraint equations for the pumped storage power generation unit given by equations (23) to (26).

[0075]

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[0076]

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[0077]

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[0078]

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[0079] The maximum supply and demand adjustment constraint equation creating unit 355 generates the following equation (27) as the increased supply and demand adjustment power of the pumped storage power plant unit i in the equation (19).

[0080]

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[0081] Furthermore, the maximum supply and demand adjustment constraint equation creating unit 355 generates the following equation (28) as the downward supply and demand adjustment power of the pumped storage power plant unit i in the equation (20).

[0082]

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[0083] For example, taking into consideration that power demand is tight in the morning and evening and renewable energy power is overflowing in the daytime, it is possible to set Equation (27) only for the morning and evening time periods and Equation (28) only for the daytime time period.

[0084] The maximum supply and demand adjustment constraint equation creation unit 355 generates a constraint equation for the target value of the water storage capacity given by equation (29). Equation (29) may include an allowable error, or may be used as a lower limit constraint as an inequality rather than an equality.

[0085]

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[0086] The constraint equation creation unit 360 generates, for example, constraint equations that connect interconnection lines between areas, constraint equations that impose upper limits on the energy accommodating through interconnection lines and on supply and demand adjustment, and constraint equations that impose initial and final values ​​of variables.

[0087] The optimization calculation unit 34 of this embodiment performs a calculation to minimize the total fuel cost using an evaluation function (objective function) to which data stored in various databases configured in the storage unit 20 and a group of constraints created by the model creation unit 32 of the calculation unit 30 and held by the optimization solver are applied. For example, the optimization calculation unit 34 applies data retrieved from the database to the evaluation function given by Equation (1) and the group of constraints given by Equations (2) to (29), and minimizes C (total cost) of the evaluation function so as to satisfy the group of constraints. This makes it possible to calculate an optimization result that satisfies the minimum value of the total cost. In order to perform the minimization calculation quickly, the optimization calculation unit 34 of this embodiment performs the minimization calculation using, for example, mixed integer programming.

[0088] (Operation of the operation plan development device according to the embodiment) Next, the operation of the operation plan development device according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a flowchart showing the operation of the operation plan development device according to the first embodiment.

[0089] The input unit 10 acquires various data via the power supply configuration optimizing device 2, a recording medium, or the like, and stores the data in corresponding databases in the storage unit 20 (S100). That is, the input unit 10 acquires power supply configuration data such as power demand data 110, fuel data 120, renewable energy power generation data 130, interconnection line data 140, thermal power generation unit data 150, pumped storage power generation unit data 160, and reservoir data 170. Next, the input unit 10 stores the power demand data 110 in a power demand DB 210, the fuel data 120 in a fuel DB 220, the renewable energy power generation data 130 in a renewable energy power generation DB 230, the interconnection line data 140 in a interconnection line DB 240, the thermal power generation unit data 150 in a thermal power generation DB 250, the pumped storage power generation unit data 160 in a pumped storage power generation DB 260, and the reservoir data 170 in a reservoir DB 270.

[0090] Next, the model creation unit 32 generates an evaluation function, a constraint equation, and the like (S110). The generated evaluation function and constraint equation are stored in a memory (not shown). That is, the evaluation function creation unit 310 generates an evaluation function given by Equation (1). The energy supply and demand balance constraint equation creation unit 315, the energy storage balance constraint equation creation unit 320, the maximum / minimum output constraint equation creation unit 325, the output change rate constraint equation creation unit 330, the minimum shutdown period constraint equation creation unit 335, the reservoir water level constraint equation creation unit 340, the simultaneous execution prohibition constraint equation creation unit 345, the supply and demand adjustment supply and demand balance constraint equation creation unit 350, the maximum supply and demand adjustment constraint equation creation unit 355, and the other constraint equation creation unit 360 generate constraint equations given by Equations (2) to (29).

[0091] When the evaluation function and the constraint equations are generated, the optimization calculation unit 34 performs optimization calculations on the evaluation equation and the constraint equations so that C of the evaluation equation given by Equation (1) is minimized (S120).

[0092] The optimization calculation unit 34 outputs the calculation results to the display output unit 40 (S130). The display output unit 40 outputs the acquired calculation results as text data or image data (S140).

[0093] In this way, according to the operation plan development device of this embodiment, the model creation unit generates constraint equations that include terms related to inter-regional interchange of electricity, etc. using interconnection lines and terms related to supply and demand adjustment, making it possible to create optimal operation plans for power generation systems based on a wide variety of fuel types.

[0094] Furthermore, according to the operation plan development device of this embodiment, the model creation unit generates a constraint equation that includes conditions regarding the amount of stored energy or the amount of available stored energy required to implement supply and demand adjustment in at least a pumped storage power plant as an energy storage system, so that optimization calculations can be realized when adjusting supply and demand in a power generation system that includes a pumped storage power plant.

[0095] (Second embodiment) Next, another embodiment of the present invention will be described with reference to the drawings. FIG. 8 is a block diagram showing the functional configuration of an operation plan development device 1a according to a second embodiment. FIG. 9 is a flowchart showing the operation of the operation plan development device according to the second embodiment. The operation plan development device 1a of the second embodiment is obtained by partially modifying the configuration of the operation plan development device 1 according to the first embodiment. In the following description, elements common to the first embodiment are denoted by common reference numerals, and duplicated description will be omitted.

[0096] As shown in FIG. 8, the input unit 10 of this embodiment further acquires supply and demand adjustment data 180. The supply and demand adjustment data is, for example, a supply and demand adjustment cost in a thermal power generation unit. The supply and demand adjustment cost can be set based on the expected spot price for supply and demand adjustment, etc. The storage unit 20 further has a supply and demand adjustment database (DB) 280. The input unit 10 stores the acquired supply and demand adjustment data 180 in the supply and demand adjustment DB 280. The input unit 10 may acquire the supply and demand adjustment data 180 externally, or may acquire it internally from the calculation process in the calculation unit 30 or the optimization calculation unit 34.

[0097] The calculation unit 30 includes an evaluation function creation unit 310a, which uses the power demand data 110 to the reservoir data 170 as well as the supply and demand adjustment data 180 to generate an evaluation function.

[0098] The evaluation function creation unit 310a creates an evaluation function given by formulas (30) and (31). Here, only the supply and demand adjustment cost for the forecast error is taken up, but the supply and demand adjustment cost of LFC, which is the supply and demand adjustment for the fluctuation within the time, may be included. t <FC u a u In the case of a thermal power generation unit started up for supply-demand adjustment, the startup cost may be divided by a certain value or variable and added to the supply-demand adjustment cost. u a u represents the marginal cost of the thermal power generation unit u, but other methods for calculating the marginal cost may be used.

[0099]

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[0100]

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[0101] The evaluation function of the first embodiment given by equation (1) minimizes the fuel cost. On the other hand, the evaluation function of the second embodiment given by equations (30) and (31) minimizes the sum of the fuel cost and the supply and demand adjustment cost. That is, the evaluation function of the second embodiment minimizes the supply and demand adjustment cost BC u,t The evaluation function of this embodiment accounts for the surplus capacity of the power generation system caused by supply and demand adjustment as a supply and demand adjustment cost.

[0102] The expected spot price may be calculated using information from an already generated operation plan or may be calculated during optimization. The expected spot price may be, for example, the maximum marginal cost of thermal power generation units operating in the area, the maximum marginal cost of thermal power generation units operating in the entire area, or a value obtained by other calculation methods.

[0103] The evaluation function creating unit 310a may use a weighted supply and demand adjustment cost, that is, the evaluation function creating unit 310a may create an evaluation function given by Equation (32).

[0104]

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[0105] (Operation example of the second embodiment) 8 and 9, an example of the operation of the operation plan formulation device 1a of the second embodiment that generates the evaluation function given by Equation (32) will be described. The example of operation shown in Fig. 9 is to minimize the sum of the fuel cost and the supply and demand adjustment cost by repeating optimization while changing the weight on the supply and demand adjustment cost in the evaluation function.

[0106] The input unit 10 acquires various data via the power supply configuration optimizing device 2, a recording medium, or the like, and stores the data in a corresponding database in the storage unit 20 (S100). That is, the input unit 10 acquires power supply configuration data such as power demand data 110, fuel data 120, renewable energy power generation data 130, interconnection line data 140, thermal power generation unit data 150, pumped storage power generation unit data 160, reservoir data 170, and supply and demand adjustment data 180. Next, the input unit 10 stores the electricity demand data 110 in the electricity demand DB 210, the fuel data 120 in the fuel DB 220, the renewable energy power generation data 130 in the renewable energy power generation DB 230, the interconnection line data 140 in the interconnection line DB 240, the thermal power generation unit data 150 in the thermal power generation DB 250, the pumped storage power generation unit data 160 in the pumped storage power generation DB 260, the reservoir data 170 in the reservoir DB 270, and the supply and demand adjustment data 180 in the supply and demand adjustment DB 280.

[0107] Next, the evaluation function creation unit 310a of the model creation unit 32 assigns a weight to the supply and demand adjustment cost WEIGHT bc is set (S102).

[0108] Next, the model creation unit 32 generates an evaluation function, a constraint equation, and the like (S110). The generated evaluation function and constraint equation are stored in a memory (not shown). That is, the evaluation function creation unit 310 generates an evaluation function given by Equation (32). The energy supply and demand balance constraint equation creation unit 315, the energy storage balance constraint equation creation unit 320, the maximum / minimum output constraint equation creation unit 325, the output change rate constraint equation creation unit 330, the minimum shutdown period constraint equation creation unit 335, the reservoir water level constraint equation creation unit 340, the simultaneous execution prohibition constraint equation creation unit 345, the supply and demand adjustment supply and demand balance constraint equation creation unit 350, the maximum supply and demand adjustment constraint equation creation unit 355, and the other constraint equation creation unit 360 generate the constraint equations given by Equations (2) to (29).

[0109] When the evaluation function and constraint equations are generated, the optimization calculation unit 34 performs optimization calculations on the evaluation equation and constraint equations so that C of the evaluation equation given by equation (32) is minimized (S120).

[0110] The optimization calculation unit 34 determines whether the result of the optimization calculation has improved from the previous optimization result (S121). If the result has improved (Yes in S121), the optimization calculation unit 34 records the currently calculated optimization result in a storage unit (not shown) (S122). Note that in the case of the first optimization calculation, the optimization result is considered to have improved and is recorded (S122).

[0111] When the optimization result is recorded (S122) or when the result of the determination is that no improvement has been made (No in S121), the optimization calculation unit 34 determines whether the optimization calculation has been performed a specified number of times (S123).

[0112] If the optimization calculation has not been performed the specified number of times (No in S123), the evaluation function creation unit 310a bc (S124). bc The weights may be selected from a list of weight candidates prepared in advance, or may be generated randomly.

[0113] WEIGHT bcWhen the parameter is changed, the model creation unit 32 generates an evaluation function and a constraint equation (S110), and the optimization calculation unit 34 executes an optimization calculation (S120). The optimization calculation unit 34 determines whether the result of the optimization calculation is an improvement over the previous optimization result (S121), and records the result if there is an improvement (Yes in S121, S122).

[0114] If the optimization calculation has been performed the specified number of times (Yes in S123), the optimization calculation unit 34 reads out the most appropriate optimization result from the record and outputs it to the display output unit 40 (S130).

[0115] The display output unit 40 outputs the acquired calculation results as text data or image data (S140).

[0116] In this way, according to the operation plan development device of this embodiment, an evaluation function is generated that takes into account the supply and demand adjustment costs and their weights, so that an optimal operation plan can be created for the power generation systems participating in supply and demand adjustment.

[0117] (Third embodiment) Next, another embodiment of the present invention will be described with reference to the drawings. Fig. 10 is a flowchart showing the operation of an operation plan development device according to a third embodiment. The operation plan development device of the third embodiment is a modification of the optimization process of the operation plan development device according to the first or second embodiment. In the following description, elements common to the first embodiment will be denoted by the same reference numerals, and duplicated description will be omitted.

[0118] In this embodiment, the optimization calculation unit 34 performs optimization by reducing at least thermal power generation units of the same fuel type to one unit per area in order to reduce calculation time. In other words, the amount of calculation is reduced by treating thermal power plants that use the same type of fuel as one thermal power plant. Then, for the optimization results, at least the interchange power amount and interchange adjustment capacity of the interconnection line are fixed, and optimization is performed for a shorter period (e.g., one day) or a smaller area (e.g., one area) than when the thermal power generation units are reduced, without reducing them. Here, "interchange" means supply and demand between areas via interconnection lines.

[0119] (Operation of the third embodiment) Next, the operation of the operation plan development device according to the embodiment will be described with reference to Fig. 2 and Fig. 10. Fig. 10 is a flowchart showing the operation of the operation plan development device according to the third embodiment. The third embodiment described below is based on the configuration of the first embodiment, but may also be applied to the configuration of the second embodiment.

[0120] The input unit 10 acquires various data via the power supply configuration optimizing device 2, a recording medium, or the like, and stores the data in corresponding databases in the storage unit 20 (S100). That is, the input unit 10 acquires power supply configuration data such as power demand data 110, fuel data 120, renewable energy power generation data 130, interconnection line data 140, thermal power generation unit data 150, pumped storage power generation unit data 160, and reservoir data 170. Next, the input unit 10 stores the power demand data 110 in a power demand DB 210, the fuel data 120 in a fuel DB 220, the renewable energy power generation data 130 in a renewable energy power generation DB 230, the interconnection line data 140 in a interconnection line DB 240, the thermal power generation unit data 150 in a thermal power generation DB 250, the pumped storage power generation unit data 160 in a pumped storage power generation DB 260, and the reservoir data 170 in a reservoir DB 270.

[0121] The calculation unit 30 reduces the conditions for the thermal power generation units by the same fuel type (S104). For example, the following examples of reduction of conditions can be applied. Here, a group of units of the same fuel type in the same area is called a "group." The minimum output of the contracted unit shall be half of the total minimum output within the group. The sum of the maximum outputs within the group is the maximum output of the contracted unit. The average of the minimum continuous stop time within the group is the minimum continuous stop time of the contracted unit. The average of the efficiency gradient a within the group is set as the efficiency gradient a of the contracted unit. The sum of the efficiency intercepts b within the group is taken as the efficiency intercept b of the contracted unit. The total of the startup costs within the group is the startup cost of the contracted unit. The average fuel cost unit FC within the group is set as the fuel cost unit FC of the contracted unit. That is, in order to reduce the amount of calculation, the conditions of the constraint equations relating to the thermal power generation units are fixed.

[0122] Next, the model creation unit 32 generates evaluation functions, constraint equations, etc. (S110). At this time, the conditions for the thermal power generation units are fixed to a contracted state. The generated evaluation functions and constraint equations are stored in a memory (not shown). That is, the evaluation function creation unit 310 generates an evaluation function given by Equation (1). The energy supply and demand balance constraint equation creation unit 315, the energy storage balance constraint equation creation unit 320, the maximum / minimum output constraint equation creation unit 325, the output change rate constraint equation creation unit 330, the minimum outage period constraint equation creation unit 335, the reservoir water level constraint equation creation unit 340, the simultaneous execution prohibition constraint equation creation unit 345, the supply and demand adjustment supply and demand balance constraint equation creation unit 350, the maximum supply and demand adjustment constraint equation creation unit 355, and the other constraint equation creation unit 360 generate constraint equations given by Equations (2) to (29).

[0123] When the evaluation function and the constraint equations are generated, the optimization calculation unit 34 performs optimization calculations on the evaluation equation and the constraint equations so that C of the evaluation equation given by Equation (1) is minimized (S120).

[0124] Next, the calculation unit 30 fixes the interchange power amount and interchange supply adjustment capacity of the interconnection line obtained as a result of the optimization calculation by the optimization calculation unit 34, without reducing the conditions of the thermal power generation unit (S125). That is, the conditions reduced in S104 are released, and the interchange power amount and interchange supply adjustment capacity of the interconnection line for which the optimization calculation was performed are fixed.

[0125] Next, the model creation unit 32 regenerates the evaluation function, constraint equations, etc. based on the conditions set by the calculation unit 30 in S125 (S126). At this time, the interchange power amount and interchange supply adjustment capacity of the interconnection line obtained as a result of the optimization calculation by the optimization calculation unit 34 are fixed, and the conditions of the thermal power generation units are not contracted. The regenerated evaluation function and constraint equations are stored in a memory (not shown). In other words, the evaluation function creation unit 310 regenerates the evaluation function given by Equation (1). The energy supply and demand balance constraint equation creation unit 315, the energy storage balance constraint equation creation unit 320, the maximum / minimum output constraint equation creation unit 325, the output change rate constraint equation creation unit 330, the minimum shutdown period constraint equation creation unit 335, the reservoir water level constraint equation creation unit 340, the simultaneous execution prohibition constraint equation creation unit 345, the supply and demand adjustment supply and demand balance constraint equation creation unit 350, the maximum supply and demand adjustment constraint equation creation unit 355, and the other constraint equation creation unit 360 regenerate the constraint equations given by the formulas (2) to (29).

[0126] When the evaluation function and the constraint equations are generated, the optimization calculation unit 34 re-executes optimization calculations for the evaluation equation and the constraint equations so that C in the evaluation equation given by Equation (1) is minimized (S127).

[0127] The optimization calculation unit 34 outputs the calculation results to the display output unit 40 (S130). The display output unit 40 outputs the acquired calculation results as text data or image data (S140).

[0128] In this way, according to the operation plan development device of this embodiment, first, the conditions for a specific unit (thermal power generation unit) are reduced and an evaluation function and constraint equations are generated and optimized, and then the conditions related to the interconnection are fixed to the optimized ones and an evaluation function and constraint equations are generated and optimized without reducing the conditions for the specific unit. This procedure can shorten the calculation time in the optimization calculation unit 34.

[0129] In the example described above, the conditions for a specific unit are reduced in the first optimization, and the conditions for that specific unit are removed in the second optimization, with other conditions optimized. However, this is not limited to this. For example, the first optimization may be performed over a week, optimizing the entire area at once, and the second optimization may be performed over a day, optimizing each area individually. This can reduce the calculation time.

[0130] (Fourth embodiment) Next, another embodiment of the present invention will be described with reference to the drawings. Fig. 11 is a flowchart showing the calculation operation in an operation plan development device according to a fourth embodiment. The operation plan development device of the fourth embodiment is a modification of the optimization process of the operation plan development device according to the first to third embodiments. In the following description, elements common to the first embodiment will be denoted by the same reference numerals, and duplicated description will be omitted.

[0131] In this embodiment, the operation plan formulation device calculates the marginal cost of a storage system such as a pumped storage power plant, thereby optimizing the supply and demand adjustment cost of the storage system. The marginal cost is calculated based on the amount of power generated and pumped storage (charging) and stored energy using the predicted spot price for supply and demand adjustment. That is, as shown in (1) of FIG. 11, the marginal cost is calculated by dividing the storage price of the stored energy by the amount of stored energy.

[0132] As shown in (2) of FIG. 11, during pumping (charging), the increase in the storage price of the stored energy is obtained by multiplying the predicted spot price at that time by the amount of electricity required for pumping (charging).

[0133] As shown in (3) of Figure 11, when power is generated, the amount of stored energy that is reduced by power generation is multiplied by the marginal cost in the unit time immediately before that unit time (the unit time one frame before) to obtain the decrease in the storage price of the stored energy. In other words, the decrease in the storage price is obtained based on the stored energy at that time so that it does not change from the marginal cost one frame before.

[0134] In this way, the marginal cost of the storage system is calculated based on the expected spot price, the amount of pumped (charging) energy, the amount of generated energy, the stored energy, and the storage price. The evaluation function in this embodiment is expressed by the following Equation (33), Equation (34), or Equation (35).

[0135]

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[0136]

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[0137]

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[0138] Supply and demand adjustment cost BCPSH of pumped storage power generation unit i at time t i,t is expressed by the following equation (36).

[0139]

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[0140] By minimizing C in the evaluation function shown in equations (33) to (35), it is possible to optimize the supply and demand adjustment costs of the storage system. Note that the "marginal cost" here means the price for stored energy, so it can also be expressed as the "storage cost."

[0141] (Fifth embodiment) Next, another embodiment of the present invention will be described with reference to the drawings. Fig. 12 is a block diagram showing the functional configuration of an operation plan development device 1b according to a fifth embodiment. In the operation plan development device 1b of the fifth embodiment, the pumped storage power plant as the energy storage system in the first embodiment is replaced with a storage battery. In the following description, elements common to the first embodiment are denoted by the same reference numerals, and duplicated description will be omitted.

[0142] A storage battery is common to a pumped storage power generation system in that it can store energy. Therefore, as shown in Fig. 12, the input unit 10 of this embodiment acquires storage battery data 190 instead of pumped storage power generation unit data 160 and reservoir data 170.

[0143] The storage unit 20 includes a storage battery database (DB) 290 that accumulates storage battery data 190, instead of the pumped storage power generation DB 260 and the reservoir DB 270. The input unit 10 stores the acquired storage battery data 190 in the storage battery DB290.

[0144] The calculation unit 30 includes an evaluation function creation unit 310b, which uses the power demand data 110 to the thermal power generation unit data 150 and the storage battery data 190 to create an evaluation function.

[0145] The energy supply and demand balance constraint equation creating unit 315b of the embodiment creates a constraint equation given by equation (37).

[0146]

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[0147] The energy storage balance constraint equation creation unit 320b generates constraint equations (energy storage balance constraint equations of the storage battery) given by equations (38) and (39). Equations (38) and (39) include parameters and terms that indicate the impact on the storage battery when supply and demand adjustment is assumed to be performed. Note that in the case of a storage battery, since it combines two elements, pumped storage power generation and water storage, both are represented as storage battery j. That is,

[0148]

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[0149]

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[0150] The battery supply and demand adjustment activation rate indicates the rate at which a supply and demand adjustment command is activated per unit time (e.g., 30 minutes). This activation rate can be set based on statistics obtained during the operation of the power generation system, the average number of times supply and demand adjustment is activated, etc.

[0151] The maximum / minimum output constraint equation creating unit 325b further creates the maximum and minimum output constraint equations of the storage battery given by equations (40) to (43).

[0152]

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[0153]

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[0156] The other constraint equation generator 360 generates the constraint equations given by equations (44) and (45).

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[0159] The supply and demand adjustment supply and demand balance constraint equation creating unit 350b generates constraint equations given by equations (46) and (47). Equations (46) and (47) may be inequalities where the left side is equal to or greater than the right side, rather than equalities. Also, while only supply and demand adjustment for forecast errors has been discussed here, a separate equation may be generated for supply and demand adjustment of Load Frequency Control (LFC), which is supply and demand adjustment for intra-hour fluctuations.

[0160]

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[0161]

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[0162] The maximum supply and demand adjustment constraint equation creating unit 355b creates the maximum supply and demand adjustment constraint equations for the storage battery given by equations (48) to (51).

[0163]

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[0164]

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[0165]

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[0167] The maximum supply and demand adjustment constraint equation creating unit 355b generates the following equation (52) as the increase in supply and demand adjustment power of the storage battery j in the equation (46).

[0168]

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[0169] Furthermore, the maximum supply and demand adjustment constraint equation creating unit 355b generates equation (53) as the downward supply and demand adjustment power of the storage battery j in equation (47).

[0170]

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[0171] For example, taking into consideration that power demand is tight in the morning and evening and renewable energy power is overflowing in the daytime, it is possible to set formula (52) only for the morning and evening time periods and formula (53) only for the daytime time period.

[0172] In this way, according to the operation plan development device of this embodiment, the model creation unit generates constraint equations that include terms related to inter-regional interchange of electricity, etc. using interconnection lines and terms related to supply and demand adjustment, so that an optimal operation plan can be created even when a storage battery is provided as an energy storage system instead of a pumped-storage power generation system or a reservoir.

[0173] In the above-described example, a storage battery is provided instead of the pumped storage power generation system and the reservoir, but this is not limiting. A storage battery may be additionally provided in the functional configuration of the first or second embodiment. In this case, the same effect can be achieved by appropriately modifying the evaluation function and constraint equation.

[0174] (Sixth embodiment) Next, other embodiments of the present invention will be described with reference to the drawings. Fig. 13 is a block diagram showing the functional configuration of a display output unit in an operation plan development device according to a sixth embodiment. Fig. 14 is a flowchart showing an example of the operation of the display output unit according to the sixth embodiment. Figs. 15 to 19 are diagrams showing examples of display output of the operation plan development device according to the sixth embodiment.

[0175] The operation plan development device of the sixth embodiment is a more detailed functional configuration of the display output unit of the operation plan development device of the first to fifth embodiments. In the following explanation, elements common to the first to fifth embodiments are denoted by common reference numerals, and duplicate explanations will be omitted. As shown in FIG. 13, the display output unit 40 of this embodiment includes an output information generation unit 402, a drawing engine 404, a template storage unit 406, and a display unit 408.

[0176] The output information generation unit 402 generates output information based on the optimization results of the evaluation function by the optimization calculation unit 34 and the information stored in the storage unit 20. The output information is operation plan data 42 including the optimization results. Examples of the output information include a CSV file in text format and display image information that can be displayed as an image.

[0177] The drawing engine 404 is a functional element that generates image data such as graphs based on the optimization results obtained by the optimization calculation unit 34. The template storage unit 406 stores templates as prototypes for CSV files and display image information. The display unit 408 is, for example, a display device that can display image information. Examples of the display unit 408 include a liquid crystal display device and a printer device.

[0178] Next, the operation of the display output unit 40 will be described with reference to Fig. 14. The output information generation unit 42 acquires the optimization results from the optimization calculation unit 34 and information stored in the storage unit 20 (S131).

[0179] The output information generation unit 42 generates output information based on the optimization results, etc. (S132). The output information may include the operation plan data 42.

[0180] The drawing engine 44 generates display image information based on the output information (S133).

[0181] The display unit 48 displays the display image information (S140).

[0182] 15 to 19 are examples of display image information displayed by the display unit 48. The display image information 48a shown in FIG. 15 is in the form of a graph in which the change in output power over time is represented by the vertical length. The display image information 48a also shows the fuel type usage ratio in the output power. That is, the display image information 48a may also show the component ratios of city gas (CITYGAS), coal-fired power (COAL), liquefied natural gas-fired power (LNG), oil-fired power (OIL), fixed-speed pumped storage power plants (FPH), adjustable-speed pumped storage power plants (VPH), pumped storage (charging) at fixed-speed pumped storage power plants (PUMP FPH), pumped storage (charging) at adjustable-speed pumped storage power plants (PUMP VPH), renewable energy (Renew Energy), which may include PV and wind power, inflow from other areas (Import), demand value (Demand), outflow to other areas (Export), and the like. The lines indicate stacking.

[0183] The display image information 48a can clearly show which fuel type power plants are using for energy supply and demand. In particular, the display image information 48a can include a display of the energy supply and demand balance, a same-color display sorted by fuel type of thermal power units, inflow from outside the area, and outflow to outside the area. The display of pumped storage power plants may also include fixed-speed generators and variable-speed generators.

[0184] The display image information 48b shown in Fig. 16 shows the change in supply and demand adjustment over time in the form of a graph in which the vertical length represents the amount. The display image information 48b also shows the composition ratio of fuel types in supply and demand adjustment. That is, the display image information 48b can also show the composition ratio of fixed-speed pumped storage power generation increase (FPH_GI), fixed-speed pumped storage power generation (FPH_PD), fixed-speed pumped storage power generation (FPH_GD), fixed-speed pumped storage power generation (FPH_PI), variable-speed pumped storage (VPH), the required supply and demand adjustment capacity due to electricity demand forecast error (Demand), the required supply and demand adjustment capacity due to PV power generation forecast error (PV), and the required supply and demand adjustment capacity due to wind power generation forecast error (WT).

[0185] The display image information 48b makes it easy to understand which fuel type power plants are being used for supply and demand adjustment. Note that the upward and downward adjustment capabilities may be displayed separately, with the positive vertical axis representing inflow into the area or power generation within the area, and the negative vertical axis representing outflow from the area or charging within the area.

[0186] Display image information 48c shown in FIG. 17 shows the variation in water level in each upper reservoir of a pumped storage power plant over time. In other words, it shows the fluctuations in water level in each of multiple upper reservoirs (12 in the example shown in FIG. 17). Display image information 48c allows the water level of the upper reservoir of the pumped storage power plant to be confirmed, and makes it easy to see the relationship with fluctuations in renewable energy. Also, although a pumped storage power generation unit is used here, other energy storage systems may also be used.

[0187] The display image information 48d shown in Fig. 18 is a heat map in which the ratio of generated power to rated output for each thermal power generation unit over time is expressed by using different shades of color. That is, the horizontal axis corresponds to time, and the vertical axis corresponds to the thermal power generation unit. The display image information 48d makes it possible to clearly show the load factor of each unit by expressing it as a heat map.

[0188] Display image information 48e shown in FIG. 19 is a heat map in which the ratio of power generation to rated output and the ratio of charging energy to rated input for each pumped storage power generation unit are displayed as shades of color over time. That is, the horizontal axis corresponds to time, and the vertical axis corresponds to the pumped storage power generation unit. Display image information 48e makes it possible to clearly show the load factor of each unit by displaying it as a heat map. Here, negative numbers represent power generation and positive numbers represent pumped storage (charging), but the reverse is also acceptable. Also, although a pumped storage power generation unit is used here, any other system involving power generation, discharging, and charging may be used.

[0189] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, and are also included in the scope of the invention and its equivalents as defined in the claims. [Explanation of symbols]

[0190] 1, 1a... Operation plan formulation device, 2... Power supply configuration optimization device, 3... Operation status simulation device 10...Input section 110...Electricity demand data 120...Fuel data 130...Renewable energy generation data 140...Interconnection line data 150...Thermal power generation unit data 160...Pumped storage power generation unit data 170...Reservoir data 180...Supply and demand adjustment data 190…Battery data 20...Storage section 210...Electricity demand database 220...Fuel Database 230...Renewable energy generation database 240...Interconnection line database 250...Thermal Power Generation Database 260...Pumped-storage power generation database 270...Reservoir Database 280... Supply and Demand Adjustment Database 290…Battery database 30...Calculation section 32...Model Creation Department 310, 310a, 310b...Evaluation function creation unit 315, 315b...Energy supply and demand balance constraint equation creation section 320...Energy storage balance constraint equation creation unit 325,325b...Maximum / minimum output constraint equation creation section 330...Output change rate constraint equation creation unit 335...Minimum stopping time constraint equation creation section 340...Reservoir water level constraint equation creation section 345, 345b... Concurrent execution prohibition constraint formula creation section 350, 350b…Supply and demand adjustment supply and demand balance constraint equation creation section 355, 355b…Maximum supply and demand adjustment constraint equation creation section 360...Other constraint equation creation section 34...Optimization calculation section 40...Display output section 42...Output information generation unit 44...Rendering engine 46...Template memory section 48...Display section 48a, 48b, 48c, 48d, 48e...Display image information

Claims

1. an input unit that acquires power demand data related to power demand, renewable energy power generation data related to renewable energy power generation, thermal power generation data related to thermal power plants, and energy storage data related to an energy storage system that can store and release energy and its supply and demand adjustment; a storage unit that stores the power demand data, the renewable energy power generation data, the thermal power generation data, and the energy storage data acquired by the input unit; a model creation unit that generates an evaluation function indicating a total fuel cost related to the thermal power plant and a constraint equation including conditions related to at least the amount of stored energy or the amount of available stored energy required to implement supply and demand adjustment related to the energy storage system, based on the power demand data, the renewable energy power generation data, the thermal power generation data, and the energy storage data; an optimization calculation unit that performs a calculation to optimize the fuel cost based on the evaluation function and the constraint equation; an output unit that outputs operation plan data for the thermal power plant and the energy storage system based on the calculation result of the optimizing calculation; An operation plan formulation device comprising:

2. the energy storage system includes a system that physically stores kinetic or potential energy that can be used to generate electricity, or a system that chemically or thermally stores chemical energy that can be discharged; The energy storage data includes at least one of the amount of stored energy, the amount of stored material, the amount of kinetic energy, the amount of potential energy, the amount of stored chemical substance, the amount of electric power, and the amount of stored heat.

2. The operation plan development device according to claim 1,

3. 2. The operation plan development device according to claim 1, wherein the model creation unit generates the evaluation function for optimizing the sum or weighted sum of fuel costs related to the thermal power plants and supply and demand adjustment costs required to implement supply and demand adjustments related to the thermal power plants.

4. 3. The operation plan development device according to claim 2, wherein the optimization calculation unit executes the optimization calculation for the evaluation function a plurality of times by changing a weight of the fuel cost related to the thermal power plant or the supply and demand adjustment cost required for supply and demand adjustment related to the thermal power plant.

5. 3. The operation plan development device according to claim 2, wherein the optimization calculation unit executes a calculation to optimize fuel costs related to the thermal power plant and a calculation to optimize supply and demand adjustment costs required for supply and demand adjustment related to the thermal power plant at least once each.

6. 2. The operation plan development device according to claim 1, wherein the optimization calculation unit performs the optimization calculation by regarding thermal power plants that use the same type of fuel as one thermal power plant.

7. 6. The operation plan formulation device according to claim 3, wherein the optimization calculation unit calculates the marginal cost of the energy storage system based on temporal changes in the forecasted market electricity price, the amount of generated electricity and the amount of charged electricity, and the stored energy obtained from a calculation result of optimizing the fuel cost of the thermal power plant, calculates a supply and demand adjustment cost required for supply and demand adjustment of the energy storage system based on the calculation result, and includes the calculated supply and demand adjustment cost together with the supply and demand adjustment cost required for supply and demand adjustment of the thermal power plant as an optimization target.

8. 2. The operation plan development device according to claim 1, wherein the output unit generates display image information that displays the upward or downward adjustment power of the energy storage system in a graph format in which the amount is represented by vertical length, separated into cases of power generation or discharging and charging, and the ratio of power generation to rated output of thermal power generation at the thermal power plant, the ratio of power generation or discharge to rated output of the energy storage system, and the ratio of power charge to rated input, expressed in shades of color.

9. An operation plan formulation method using a computer having a calculation unit, a storage unit, and an interface, Electricity demand data relating to electricity demand, renewable energy power generation data relating to renewable energy power generation, thermal power generation data relating to thermal power plants, and energy storage data relating to an energy storage system capable of storing and releasing energy and its supply and demand adjustment are acquired via the interface and stored in the storage unit; generating, by the calculation unit, an evaluation function indicating a total sum of fuel costs related to the thermal power plant and a constraint equation including conditions related to at least the amount of stored energy or the amount of available stored energy required to implement supply and demand adjustment related to the energy storage system, based on the power demand data, the renewable energy power generation data, the thermal power generation data, and the energy storage data; causing the calculation unit to perform a calculation to optimize the fuel cost based on the evaluation function and the constraint equation; outputting operation plan data for the thermal power plant and the energy storage system via the interface based on the calculation results of the optimizing calculation; A method characterized by:

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