Hydraulic power generation supply and demand adjustment system, hydraulic power generation supply and demand adjustment method, and program

Abstract

To provide a hydraulic power generation supply and demand adjustment system in which an adjustment force requested from a power supply and demand adjustment market can be provided and a profit obtained by the provision can be maximized by hydraulic power generation.SOLUTION: A hydraulic power generation supply and demand adjustment system comprises: a price prediction unit for creating a price prediction chart predicting a transaction price of an adjustment force of a hydraulic power plant which is transacted in a power supply and demand adjustment market; an operation pattern calculation unit using the price prediction chart to calculate a plurality of operation patterns of the hydraulic power plant relating to the adjustment force and a profit obtained from the adjustment force of each operation pattern; an operation data collection unit for collecting operation data indicating an operation state of the hydraulic power plant; an operation simulation unit for simulating whether the hydraulic power plant can be operated in the plurality of operation patterns on the basis of the operation data; and an operation pattern determination unit for determining the operation pattern of the adjustment force to be transacted in the power supply and demand adjustment market based on a simulation result of the operation simulation unit.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] An embodiment of the present invention relates to a hydroelectric power generation supply and demand adjustment system, a hydroelectric power generation supply and demand adjustment method, and a program. [Background technology]

[0002] In a power grid, a balance between demand (power usage) and supply (power generation) is necessary. If this balance is not achieved, the frequency of electricity may be disrupted and a stable supply may not be possible. For this reason, general electricity transmission and distribution companies, who operate the grid, maintain the target frequency by adjusting the output of power sources in response to fluctuations in power supply and demand.

[0003] When general electricity transmission and distribution companies procure balancing power, which is the electricity required to control the frequency and adjust the supply and demand balance in an electricity supply area (area), they traditionally conducted public bidding for balancing power in each area. In addition to this, in recent years, electricity supply and demand adjustment markets have been established with the aim of realizing more efficient supply and demand operation by procuring wide-area balancing power that transcends areas.

[0004] In the electricity supply and demand adjustment market, general electricity transmission and distribution companies secure the power generation facilities, power storage devices, demand response, and other systems that control electricity supply and demand, as well as equivalent adjustment power, that are necessary to perform ancillary services (frequency control, supply and demand balance adjustment, and other system stabilization operations) in the electricity supply area. In the electricity supply and demand adjustment market, the general electricity transmission and distribution companies in each area, who act as the market operators, present the required amount of adjustment power they wish to procure, and adjustment power providers bid for that required amount. The product classification for the electricity supply and demand adjustment market will begin with tertiary adjustment power, which has a slow response time, that is, the change in output to the command value, and will be expanded to primary adjustment power, which has the fastest response time.

[0005] Pumped-storage power plants are one type of system that contributes to balancing supply and demand in the power grid and ensuring adjustment capacity. Pumped-storage power plants have dams or regulating reservoirs for storing water on both the upstream and downstream sides of the pump. When water flows from the upstream dam (regulating reservoir) to the downstream dam (regulating reservoir), a generator motor connected to the pump generates electricity. On the other hand, when demand for electricity is low, the water is pumped up to the upstream dam (regulating reservoir) by rotating the water turbine in the reverse direction to operate the pump.

[0006] Conventional pumped storage power plants pump up storage at night when electricity demand is low, and generate electricity during the day when electricity demand is high to meet peak loads. In recent years, pumped storage power plants have made a significant contribution to absorbing surplus electricity and mitigating fluctuations due to the expansion of renewable energy sources such as solar and wind power. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Patent Publication No. 2022-104115 [Patent Document 2] JP 2022-65394 A Summary of the Invention [Problem to be solved by the invention]

[0008] Hydroelectric power plants, such as pumped storage power plants, have a large role to play as balancing and power storage facilities, but there was no system in place to allow them to receive appropriate compensation for these roles. However, with the establishment of the electricity supply and demand adjustment market, the effects of hydroelectric power plants will be quantitatively evaluated, taking into account time and cost, and it is expected that their market value will increase.

[0009] Therefore, an embodiment of the present invention provides a hydroelectric power generation supply and demand adjustment system, a hydroelectric power generation supply and demand adjustment method, and a program that can provide the adjustment power required by the electricity supply and demand adjustment market and maximize the profits obtained from such provision through hydroelectric power generation. [Means for solving the problem]

[0010] A hydroelectric power supply and demand adjustment system according to one embodiment includes a price prediction unit that creates a price prediction chart predicting the trading price of the adjustment power of a hydroelectric power plant to be traded in the electricity supply and demand adjustment market, an operation pattern calculation unit that uses the price prediction chart to calculate multiple operating patterns of the hydroelectric power plant related to the adjustment power and the profits obtained from the adjustment power of each operating pattern, an operation data collection unit that collects operating data indicating the operating status of the hydroelectric power plant, an operation simulation unit that simulates whether the hydroelectric power plant can be operated in multiple operating patterns based on the operating data, and an operation pattern determination unit that determines the operating pattern of the adjustment power to be traded in the electricity supply and demand adjustment market based on the simulation results of the operation simulation unit. Effect of the Invention

[0011] According to this embodiment, it is possible to provide the adjustment capacity required by the electricity supply and demand adjustment market and maximize the profits obtained from providing the adjustment capacity through hydroelectric power generation. [Brief description of the drawings]

[0012] [Figure 1] 1 is a block diagram showing a schematic configuration of a hydroelectric power generation supply and demand adjustment system according to a first embodiment. [Diagram 2] 4 is a flowchart showing an operation procedure of the hydroelectric power generation supply and demand adjustment system according to the first embodiment. [Diagram 3] 1 is a graph showing an example of a price forecast chart. [Figure 4] FIG. 1A is a diagram showing an example of an operation pattern of a pumped storage power plant, and FIG. 1B is a diagram showing an example of the relationship between the operation pattern and profit at a certain time. [Diagram 5] FIG. 13A is a diagram showing an example of a simulation result of control system operation data, and FIG. 13B is a diagram showing an example of a simulation result of waterway system operation data. [Figure 6] FIG. 11 is a block diagram showing a schematic configuration of a hydroelectric power generation supply and demand adjustment system according to a second embodiment. [Figure 7] 10 is a flowchart showing an operation procedure of the hydroelectric power generation supply and demand adjustment system according to the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiment. The hydroelectric power generation supply and demand adjustment system described in the following embodiment can be configured as a computer having hardware resources such as a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and a HDD (Hard Disk Drive), and the CPU executes various programs to realize information processing by software using the hardware resources. Furthermore, a power supply and demand adjustment method using this hydroelectric power generation supply and demand adjustment system can be realized by having a computer execute various programs.

[0014] (First embodiment) Fig. 1 is a block diagram showing a schematic configuration of a hydroelectric power generation supply and demand adjustment system according to the first embodiment. The hydroelectric power generation supply and demand adjustment system 10 according to this embodiment is a system that aims to provide the adjustment power required by the electricity supply and demand adjustment market and maximize the profits obtained from the provision of the adjustment power by a pumped storage power plant 101, which is a type of hydroelectric power plant. Here, the pumped storage power plant 101 will be explained before the hydroelectric power generation supply and demand adjustment system 10.

[0015] 1 includes an upper dam 102, a lower dam 103, a water guide iron pipe 104, a surge tank 105, a pump turbine 106, and a generator motor 107. At least one of the upper dam 102 and the lower dam 103 may be a balancing reservoir that stores water.

[0016] The upper dam 102 is disposed upstream of the pump turbine 106. The lower dam 103 is disposed downstream of the pump turbine 106. The water conveyance pipe 104 is a waterway that connects the upper dam 102 and the pump turbine 106.

[0017] The surge tanks 105 are installed between the upper dam 102 and the pump turbine 106, and between the pump turbine 106 and the lower dam 103. The surge tanks 105 are tanks designed to prevent water hammer caused by a sudden change in the amount of water. The surge tanks 105 can mitigate fluctuations in the amount of water released from the upper dam 102 and the amount of water stored in the lower dam 103.

[0018] The pump turbine 106 is rotated by the water discharged from the upper dam 102. The pump turbine 106 also pumps up water from the lower dam 103 to the upper dam 102 by rotating in the reverse direction using power supplied from the generator motor 107.

[0019] The generator motor 107 generates electricity as the pump turbine 106 rotates. The generated electricity is supplied to a power grid 108. The generator motor 107 drives the pump turbine 106 with the electricity supplied from the power grid 108. Note that, although two pump turbines 106 and two generator motors 107 are installed in the pumped storage power station 101 shown in FIG. 1, the numbers of the pump turbines 106 and the generator motors 107 are not particularly limited. The number of the generator motors 107 may be the same as or different from the number of the pump turbines 106.

[0020] In the pumped storage power plant 101 configured as described above, when providing regulating power to the power grid 108, the generator motor 107 generates power using the rotational force of the pump turbine 106 generated by the release of water from the upper dam 102. On the other hand, when surplus power supplied from the power grid 108 is consumed, the generator motor 107 uses the surplus power to reversely rotate the pump turbine 106. As a result, the water stored in the lower dam 103 is pumped up to the upper dam 102 by the pump turbine 106.

[0021] Next, the configuration of the hydroelectric power supply and demand adjustment system 10 shown in Fig. 1 will be described. This hydroelectric power supply and demand adjustment system 10 includes a price prediction unit 11, an operation pattern calculation unit 12, an operation data collection unit 13, an operation simulation unit 14, and an operation pattern determination unit 15. Note that each unit does not necessarily have to be provided in one computer. For example, one hydroelectric power supply and demand adjustment system 10 may be realized using multiple computers connected to each other via a network.

[0022] The price prediction unit 11 creates a price prediction chart of the adjustment capacity for a specific period, for example, 30 minutes starting 5 minutes after the current time. The price prediction unit 11 outputs the created price prediction chart to the operation pattern calculation unit 12.

[0023] The operation pattern calculation unit 12 creates a plurality of operation patterns related to the adjustment capacity of the pumped storage power plant 101 using the price prediction chart created by the price prediction unit 11. The operation pattern calculation unit 12 also calculates the profits obtained when the adjustment capacity is provided in each operation pattern. The operation pattern calculation unit 12 outputs the calculated profits to the operation simulation unit 14 in association with each operation pattern.

[0024] The operation data collection unit 13 collects operation data that indicates the operation state of the pumped storage power plant 101. In addition, the operation data collection unit 13 outputs the collected operation data to the operation simulation unit .

[0025] The operation simulation unit 14 simulates whether the pumped storage power plant 101 can provide adjustment power with the multiple operation patterns created by the operation pattern calculation unit 12, based on the operation data collected by the operation data collection unit 13. The operation simulation unit 14 outputs the simulation result to the operation pattern determination unit 15.

[0026] The operation pattern determination unit 15 determines an operation pattern of the pumped storage power plant 101 based on the simulation results of the operation simulation unit 14.

[0027] The operation of the hydroelectric power supply and demand adjusting system 10 will now be described.

[0028] Fig. 2 is a flowchart showing the operation procedure of the hydroelectric power supply and demand adjustment system 10 according to the first embodiment. In this flowchart, first, the price prediction unit 11 creates a price prediction chart of adjustment capacity (step S11). Here, the price prediction chart will be described with reference to Fig. 3.

[0029] FIG. 3 is a graph showing an example of a price prediction chart. In FIG. 3, the horizontal axis indicates time, and the vertical axis indicates a predicted value of the transaction price of adjustment power traded in the electricity supply and demand adjustment market. As shown in FIG. 3, the price prediction chart shows the predicted result of the fluctuation of the transaction price over time. The price prediction unit 11 creates the price prediction chart based on, for example, the past transaction price performance in the same period. However, in this embodiment, the method of creating the price prediction chart is not particularly limited. For example, the price prediction unit 11 may create the price prediction chart by an AI (Artificial Intelligence) function that machine-learns the past transaction price performance.

[0030] After the process of step S11 described above is completed, the operation pattern calculation unit 12 then calculates the profit for each of the multiple operation patterns of the pumped storage power plant 101 (step S12). Here, step S12 will be described with reference to Figs. 4(a) and 4(b).

[0031] FIG. 4(a) is a diagram showing an example of an operation pattern of the pumped storage power plant 101. In FIG. 4(a), the horizontal axis indicates time, and the vertical axis indicates adjustment capability. Two operation patterns P1 and P2 are shown in FIG. 4(a). The change in adjustment capability over time differs between the operation patterns P1 and P2. This adjustment capability corresponds to the amount of power generated by the generator motor 107. The number of operation patterns is not limited to two, and may be three or more. In addition, when multiple generator motors 107 are installed as in this embodiment, an operation pattern may exist for each generator motor 107.

[0032] In this embodiment, the power generation cost is preset for each operation pattern of the pumped storage power plant 101. If the value obtained by subtracting the power generation cost from the predicted price in the price prediction chart is a positive number, the positive number corresponds to a profit. Therefore, in step S11, for example, the operation pattern calculation unit 12 extracts an operation pattern that can obtain a profit for the predicted price at each time in the price prediction chart from all the preset operation patterns.

[0033] Fig. 4(b) is a diagram showing an example of the relationship between the operation pattern and the profit at a certain time. In Fig. 4(b), the horizontal axis indicates the operation pattern of the pumped storage power plant 101, and the vertical axis indicates the profit. As shown in Fig. 4(b), the operation pattern calculation unit 12 rearranges the operation patterns in descending order of profit. Thereafter, the operation pattern calculation unit 12 may output all the calculated operation patterns to the operation simulation unit 14 in association with the profit, or may output only the operation patterns whose profit exceeds a preset reference value in association with the profit to the operation simulation unit 14.

[0034] When a plurality of generator motors 107 are installed as in the pumped storage power plant 101 according to this embodiment, the operation pattern calculation unit 12 may calculate the operation pattern and profit of each generator motor 107 individually.

[0035] When the process of step S12 described above is completed, the driving data collection unit 13 then collects driving data (step S13). Step S13 will now be described.

[0036] The operating states of the pumped storage power station 100 include a power generation state, a pumping state, a stop state, and a standby state. In the power generation state, the generator motor 107 generates electricity by rotating the pump turbine 106. In the pumping state, the generator motor 107 rotates the pump turbine 106 in the reverse direction to pump water up to the upper dam 102. In the stop state, the pump turbine 106 and the generator motor 107 are stopped. In the standby state, the pump turbine 106 idles.

[0037] In the power generation and pumping states, the amount of water flowing into the pump turbine 106 is adjusted by the guide vane opening according to the stroke driven by a guide vane servo motor installed in the pump turbine 106. This water amount changes the input / output power of the generator motor 107. In response to changes in the driving state and input / output power of the generator motor 107, the water levels of the upper dam 102 and the lower dam 103 and the pressure of the water conveyance iron pipe 104 also change from moment to moment.

[0038] Therefore, in step S13, the operating data collection unit 13 acquires a plurality of data 102D to 107D (see FIG. 1) indicating the status of the equipment installed in the pumped storage power plant 101 as operating data in order to grasp the operating status of the pumped storage power plant 101 in real time.

[0039] Data 102D indicates the water level of the upper dam 102. Data 103D indicates the water level of the lower dam 103. Data 104D indicates the pressure in the water conveyance iron pipe 104. Data 105D indicates the water level of the surge tank 105. Data 106D indicates the rotational speed of the pump turbine 106 and the stroke of the guide vane servo motor. Data 107D indicates the input power and output power of the generator motor 107.

[0040] In this embodiment, the driving data acquisition process (step S13) by the driving data collection unit 13 is performed after the driving pattern calculation process (step S12) by the driving pattern calculation unit 12, but it may be performed before that. Alternatively, the driving data acquisition process may be performed in parallel with the driving pattern calculation process.

[0041] After the above-mentioned process of step S13 is completed, the driving simulation unit 14 then performs a driving simulation process. In this driving simulation process, the driving simulation unit 14 first sets the data 102D to 107D indicating the current state of each device collected by the driving data collection unit 13 as an initial condition of the simulation (step S14).

[0042] Next, the driving simulation unit 14 judges whether or not the current driving state can be adjusted for the multiple driving patterns whose benefits have been calculated by the driving pattern calculation unit 12 in descending order of benefit (step S15). Here, the process of step S15 will be described with reference to Figs. 5(a) and 5(b).

[0043] FIG. 5(a) is a diagram showing an example of a simulation result of control system operation data. In FIG. 5(a), the horizontal axis indicates time, and the vertical axis indicates control system operation data. This control system operation data is operation data related to power generation control. The control system operation data corresponds to, for example, the guide vane opening of the pump turbine 106 and the input / output power of the generator motor 107. In FIG. 5(a), the initial values ​​of the control system operation data at time t0 are the guide vane opening and data 107D that can be calculated based on data 106D collected by the operation data collection unit 13. The values ​​of the control system operation data after time t0 can be calculated using, for example, a predetermined formula with the adjustment capability (power generation amount) of each operation pattern as a parameter.

[0044] FIG. 5(b) is a diagram showing an example of a simulation result of the waterway system operation data. In FIG. 5(b), the horizontal axis indicates time, and the vertical axis indicates the waterway system operation data. This waterway system operation data is operation data related to the waterway used for power generation. Examples of the waterway system operation data include the water level of the upper dam 102, the water level of the lower dam 103, the pressure of the water conveyance iron pipe 104, and the water level of the surge tank 105. In FIG. 5(b), the initial values ​​of the waterway system operation data at time t0 are data 102D, data 103D, and data 104D collected by the operation data collection unit 13. As with the control system operation data, the values ​​of the waterway system operation data after time t0 can also be calculated using a predetermined formula with the adjustment power (power generation amount) of each operation pattern as a parameter.

[0045] In the control system operation data, an upper limit value Uth1 and a lower limit value Lth1 for each control device are set in advance. In addition, in the waterway system operation data, an upper limit value Uth2 and a lower limit value Lth2 for each waterway system part are set. In step S15, the operation simulation unit 14 determines whether the control system operation data satisfies an operation condition that is within the range of the upper limit value Uth1 and the lower limit value Lth1, in order from the operation pattern with the highest profit, and also determines whether the waterway system operation data satisfies an operation condition that is within the range of the upper limit value Uth2 and the lower limit value Lth2.

[0046] For example, the driving simulation unit 14 first performs a judgment process on the driving pattern P1 with the highest profit. As shown in Fig. 5(a), the control system driving data of the driving pattern P1 satisfies the above driving conditions. However, as shown in Fig. 5(b), the control system driving data of the driving pattern P1 does not satisfy the above driving conditions. Therefore, the driving simulation unit 14 performs a judgment process on the driving pattern P2 with the second highest profit after the driving pattern P1.

[0047] As shown in Figures 5(a) and 5(b), the control system operation data of the operation pattern P2 satisfies the above operation conditions, and the control system operation data of the operation pattern P2 also satisfies the above operation conditions. In this case, the operation simulation unit 14 outputs the operation pattern P2 to the operation pattern determination unit 15. This ends the operation simulation process.

[0048] Finally, the operation pattern determination unit 15 determines the operation pattern P2 that first satisfies the conditions as the operation pattern of the procurement capacity to be input to the electricity supply and demand adjustment market (step S16). Note that in the above-mentioned step S15, the operation simulation unit 14 may output all operation data for which the control system operation data and the waterway system operation data satisfy the conditions to the operation pattern determination unit 15 in association with profits. In this case, in step S16, the operation pattern determination unit 15 selects the operation data with the largest profit among the operation data that satisfy the conditions.

[0049] When the operation pattern calculation unit 12 calculates the operation patterns and profits individually for the multiple generator motors 107 in step S12, the operation simulation unit 14 in step S15 simulates whether the above operation conditions are satisfied for each generator motor 107. Then, the operation pattern determination unit 15 determines, for each generator motor 107, an operation pattern that maximizes profits from among the operation patterns that satisfy the above operation conditions.

[0050] In the present embodiment described above, the operation simulation unit 14 checks the state of the pumped storage power plant 101 shown in the operation data collected by the operation data collection unit 13, and then selects an operation pattern that can provide adjustment capability while maximizing profits from among a plurality of operation patterns calculated based on the operation pattern. This makes it possible to provide adjustment capability required by the electricity supply and demand adjustment market and maximize profits obtained from the provision of adjustment capability through pumped storage power generation.

[0051] In this embodiment, the driving simulation unit 14 performs simulation in order from the most profitable driving pattern. Then, the simulation process ends when a driving pattern that satisfies the driving conditions is identified. Therefore, it is possible to reduce the processing time compared to the case where simulation is performed in order from the least profitable driving pattern.

[0052] Second embodiment Fig. 6 is a block diagram showing a schematic configuration of a hydroelectric power generation supply and demand adjustment system according to the second embodiment. In Fig. 6, the same components as those in the first embodiment described above are given the same reference numerals, and detailed description thereof will be omitted.

[0053] The hydroelectric power supply and demand adjustment system 20 according to this embodiment further includes a control command creation unit 16 in addition to the components of the hydroelectric power supply and demand adjustment system 10 according to the first embodiment. The control command creation unit 16 creates control commands for operating the pumped storage power plant 101 in the operation pattern determined by the operation pattern determination unit 15.

[0054] The operation of the hydroelectric power supply and demand adjusting system 20 will now be described.

[0055] 7 is a flowchart showing the operation procedure of the hydroelectric power supply and demand adjustment system 20 according to the second embodiment. In this flowchart, the process contents from step S11 to step S16 are the same as those in the first embodiment, and therefore the description thereof will be omitted.

[0056] In this embodiment, the procurement capacity of the operation pattern determined by the operation pattern determination unit 15 in step S16 is submitted to the electricity supply and demand trading system 30. The electricity supply and demand trading system 30 has an electricity supply and demand adjustment market in which procurement capacity is traded between general electricity transmission and distribution companies and adjustment capacity providers. The electricity supply and demand trading system 30 notifies the hydroelectric power generation supply and demand adjustment system 20 of the success or failure of the procurement capacity transaction.

[0057] If the procurement power transaction is concluded (step S17: YES), the control command creation unit 16 creates a control command for operating the pumped storage power plant 101 in the established operation pattern (step S18). In step S18, the control command creation unit 16 creates, for example, a control command for the generator motor 107 and a control command for the guide vane opening of the pump turbine 106. The created control commands are given to the controlled devices (the pump turbine 106 and the generator motor 107).

[0058] If the transaction is not concluded (step S17: NO), or after a control command is given in step S18, the processing in steps S11 to S16 is repeated for the next transaction.

[0059] According to the present embodiment described above, when a trade of adjustment capacity is concluded, the control command creation unit 16 creates a control command corresponding to the adjustment capacity. As a result, the hydroelectric power supply and demand adjustment system 20 according to the present embodiment is not only capable of simulating an operation pattern of adjustment capacity that can maximize profits, but also capable of actually operating the pumped storage power plant 101 according to the operation pattern after the trade is concluded.

[0060] Although some 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 implemented 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 in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]

[0061] 10: Hydroelectric power supply and demand adjustment system 11: Price Prediction Section 12: Driving pattern calculation unit 13: Operation data collection section 14: Driving Simulation Section 15: Operation pattern determination unit 16: Control command creation section 20:Hydroelectric power supply and demand adjustment system

Claims

1. a price prediction unit that creates a price prediction chart predicting the trading price of the adjustment power of a hydroelectric power plant to be traded in the electricity supply and demand adjustment market; an operation pattern calculation unit that uses the price prediction chart to calculate a plurality of operation patterns of the hydroelectric power plant related to the adjustment capability and a profit obtained from the adjustment capability of each operation pattern; an operation data collection unit that collects operation data indicating an operation state of the hydroelectric power plant; an operation simulation unit that simulates whether the hydroelectric power plant can be operated in the plurality of operation patterns based on the operation data; an operation pattern determination unit that determines an operation pattern of an adjustment power to be traded in the electricity supply and demand adjustment market based on a simulation result of the operation simulation unit; A hydroelectric power supply and demand adjustment system.

2. The hydroelectric power generation supply and demand adjustment system of claim 1, further comprising a control command creation unit that creates a control command for operating the hydroelectric power plant in the determined operation pattern when a transaction of adjustment power for the operation pattern determined by the operation pattern determination unit is established in the electricity supply and demand adjustment market.

3. The hydroelectric power plant includes a plurality of generator-motors; the operation pattern calculation unit calculates the operation patterns and the profits for each of the generator-motors; the operation simulation unit performs a simulation for each of the plurality of generator-motors, The hydroelectric power generation supply and demand adjustment system according to claim 1 or 2, wherein the operation pattern determination unit determines an operation pattern that maximizes the profit for each of the plurality of generator-motors.

4. The hydroelectric power generation supply and demand adjustment system according to claim 1 , wherein the operation simulation unit determines whether or not the plurality of operation patterns satisfy a preset operation condition.

5. The hydroelectric power generation supply and demand adjustment system according to claim 4 , wherein the operation simulation unit determines whether or not the operation conditions are satisfied in order from the operation pattern having the highest profit among the plurality of operation patterns.

6. A price forecast chart was created that predicted the trading price of the hydroelectric power plant's balancing power traded in the electricity supply and demand adjustment market, Using the price forecast chart, calculate a plurality of operation patterns of the hydroelectric power plant with respect to the adjustment capacity and the profit obtained from the adjustment capacity for each operation pattern; Collecting operational data indicative of an operational state of the hydroelectric power plant; A simulation is performed based on the operation data to determine whether the hydroelectric power plant can be operated in the plurality of operation patterns; determining an operation pattern of the adjustment capacity to be traded in the electricity supply and demand adjustment market based on a result of the simulation; Methods for adjusting hydroelectric power supply and demand.

7. A process of creating a price forecast chart predicting the trading price of the adjustment power of a hydroelectric power plant traded in the electricity supply and demand adjustment market; A process of calculating a plurality of operation patterns of the hydroelectric power plant related to the adjustment capacity and a profit obtained from the adjustment capacity of each operation pattern using the price forecast chart; A process of collecting operational data indicative of an operational state of the hydroelectric power plant; A process of simulating whether the hydroelectric power plant can be operated in the plurality of operation patterns based on the operation data; A process of determining an operation pattern of adjustment power to be traded in the electricity supply and demand adjustment market based on a simulation result; A program for causing a computer to execute the following.

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