Cooperative control device and cooperative control method

The cooperative control device optimizes energy efficiency and reduces costs by aggregating energy storage devices to manage output fluctuations from variable renewable energy sources, ensuring stable grid operation.

JP2026038422APending Publication Date: 2026-03-06HITACHI LTD
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Patent Information

Application Number
JP2024141857
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-08-23
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

The inefficiency and high operational costs of thermal and hydroelectric power plants due to wide output fluctuations from variable renewable energy sources, and the need for a coordinated operation with distributed energy storage devices to maintain grid stability and reduce environmental impact.

Method used

A cooperative control device that aggregates energy storage devices to formulate an operation plan within an allowable output range, optimizing energy efficiency and power generation costs by coordinating centralized and distributed power sources.

Benefits of technology

Enables highly efficient operation plans that maximize renewable energy use while minimizing energy storage device usage, maintaining grid stability and reducing operational costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides a technology that can coordinate and control centralized power sources and distributed energy sources based on an operational plan that aggregates energy storage devices to fit within a target range of adjustment power procurement amounts, in order to optimize the energy efficiency and power generation costs of the entire system under various conditions for the power plant. [Solution] A cooperative control device that controls power plants and energy storage devices connected to a power grid, comprising: a power control planning unit that creates a power operation plan that combines multiple power plants that operate within an allowable output range and multiple energy storage devices that operate as adjusting capacity to balance the supply and demand of power; and a power control unit that controls the multiple power plants and multiple energy storage devices based on the created power operation plan.
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Description

[Technical Field]

[0001] The present invention relates to a cooperative control device and a cooperative control method for cooperatively operating a generator and an energy storage device for plan optimization in the electric power field. [Background technology]

[0002] In recent years, Japan has seen a rapid increase in the introduction of variable renewable energy sources such as solar and wind power, whose output is difficult to control. As a result, there is a demand for further development of technologies to maintain the supply and demand balance in the power grid (hereinafter sometimes simply referred to as the "grid"). Currently, the gap between the amount of electricity supplied, including variable renewable energy sources, and actual demand for electricity is absorbed mainly by controlling the output of centralized power sources such as thermal power plants, especially LNG-fired power plants.

[0003] The efficiency with which AC generators, such as those used in thermal and hydroelectric power plants, convert energy into electricity varies depending on their output. However, as the use of variable renewable energy increases, the range of output control required of thermal power plants is widening year by year, and there are an increasing number of times when they are forced to reduce their output close to its design limit. Operating at such an extremely reduced output significantly reduces the efficiency of the generator, causing a decline in the profits of the power plant operator and a deterioration in the energy efficiency of the entire grid.

[0004] To avoid this, it will be necessary to devise ways to improve energy efficiency across the entire system, utilizing not only centralized thermal power plants as a balancing power source, but also distributed energy storage devices such as batteries (including fuel cells) and hydrogen facilities.

[0005] In this context, prior art for formulating operation plans that combine power plants and energy storage devices to increase operational efficiency includes, for example, the techniques disclosed in Patent Documents 1 to 3. First, Patent Document 1 discloses a technology that "provides an operation plan development device for thermal power generators that can optimize the number of thermal power generators in operation for adjusting output at night while ensuring a certain level of adjustment capacity, and also minimize the environmental load."

[0006] Next, Patent Document 2 discloses a technology that "provides an operation plan creation device for thermal power generators that can optimize the number of operating thermal power generators while ensuring a certain amount of reserve power for daytime power demand." This aims to optimize the number of operating thermal power generators by taking into account the adjustment power that can be ensured by storage batteries, and to prevent an increase in power generation costs due to starting up more thermal power generators than necessary.

[0007] Furthermore, Patent Document 3 discloses a technology in which "at least one of a renewable energy power generation system that generates renewable energy and a power plant that generates electricity using thermal, hydroelectric, or nuclear power and supplies the generated electricity to consumers is provided, along with a hydrogen station, which is a facility for replenishing hydrogen as fuel for fuel cell vehicles, and the renewable energy power generation system and / or the power plant uses surplus electricity to produce hydrogen and supplies the produced hydrogen to the hydrogen station, or supplies surplus hydrogen to the hydrogen station." This aims to improve the economic profits of operators by producing hydrogen with surplus electricity when electricity supply is expected to exceed demand and using it for mixed combustion in fuel cell vehicles and thermal power plants. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Patent No. 05494279 [Patent Document 2] Patent No. 05494282 [Patent Document 3] Japanese Patent Publication No. 2022-170429 Summary of the Invention [Problem to be solved by the invention]

[0009] In Japan, a policy has been announced to continue using centralized power sources such as thermal power plants and large hydroelectric power plants in combination with variable renewable energy, and it is therefore necessary to operate both sources in a coordinated manner to reduce costs for the entire grid while also reducing the environmental burden. To achieve this, it is necessary to control both centralized power sources and variable renewable energy sources so that they can maintain efficient output close to their rated output.

[0010] The efficiency of thermal and hydroelectric power plants does not change much near their BEP (Best Efficiency Point), and adjusting output slightly near the BEP does not have a significant impact on energy efficiency. Therefore, if the desired range of output fluctuations is set in advance and output control is carried out within that range, it is possible to achieve both highly efficient operation and the supply of adjustable capacity.

[0011] However, in the technologies disclosed in Patent Documents 1 and 2, when calculating the required adjustment capacity, thermal power plants are treated as controlling their output to the maximum limit, which poses a problem in that in some cases they may be forced to operate at low output, which significantly reduces energy efficiency.

[0012] Furthermore, with regard to the technology disclosed in Patent Document 3, it is assumed that thermal power plants will be able to continue to maintain their BEP. However, in order for this technology to be put to practical use, it is necessary to develop a large-scale nationwide hydrogen infrastructure, which poses the problem of requiring a huge initial investment and construction period.

[0013] To solve these problems, it is necessary to set a limit on the efficiency degradation that can be tolerated for centralized power sources, and to procure balancing power by aggregating relatively small distributed energy storage devices such as storage batteries connected to the grid while allowing output control within that limit. Here, "aggregate" means to collect or gather, and this applies hereinafter as well.

[0014] Therefore, an object of the present invention is to provide a technology that can aggregate energy storage devices to formulate an operation plan within a range of target adjustment power procurement amounts so as to optimize energy efficiency and power generation costs for the entire system under various conditions for the power plant, and can coordinate and control centralized power sources and distributed energy sources based on that operation plan. [Means for solving the problem]

[0015] In order to solve the above problems, one representative cooperative control device of the present invention is a cooperative control device that controls power plants and energy storage devices connected to a power grid, and includes a power control plan formulation unit that formulates a power operation plan that combines multiple power plants that operate within an allowable output range and multiple energy storage devices that operate as adjusting capacity to balance the supply and demand of power, and a power control unit that controls the multiple power plants and multiple energy storage devices based on the formulated power operation plan. [Effects of the Invention]

[0016] According to the present invention, it is possible to formulate a power supply control plan that realizes a highly efficient operation plan for the entire system while making maximum use of renewable energy, and based on that plan, it is possible to control centralized power supplies and distributed energy sources in a coordinated manner. Problems, configurations, and effects other than those described above will become apparent from the following description of the preferred embodiments. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a block diagram showing a system configuration of a cooperative control device compatible with a centralized power source and a distributed energy storage device, etc.; [Figure 2] FIG. 2 is a block diagram showing software and a database (DB) that constitute a power supply control plan formulation unit. [Figure 3] FIG. 2 is a diagram showing a series of processing steps (processing flow) of a power supply cooperative control function. [Figure 4]FIG. 10 is a flowchart showing a specific process of power supply operation planning processing. [Figure 5] FIG. 10 is a flowchart showing a specific process for calculating the required amount of energy for the energy storage device. [Figure 6] FIG. 10 is a flowchart showing a specific process of the energy storage device matching process. [Figure 7] FIG. 10 is a flowchart showing a specific process of power supply operation planning during a tight supply and demand situation. [Figure 8] FIG. 2 is a diagram showing an example of a database of power plant output characteristic data. [Figure 9] FIG. 2 is a diagram illustrating an example of a database of power plant operation status data. [Figure 10] FIG. 1 is a diagram illustrating an example of a database of power plant allowable power range data. [Figure 11] FIG. 2 is a diagram illustrating an example of a database of system supply and demand data. [Figure 12] FIG. 10 is a diagram illustrating an example of a database of energy storage device characteristic data. [Figure 13] FIG. 2 is a diagram illustrating an example of a database of energy storage device operating status data. DETAILED DESCRIPTION OF THE INVENTION

[0018] Hereinafter, examples of the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to these examples. In addition, in the description of the drawings, the same parts are designated by the same reference numerals. [Example]

[0019] In this embodiment, an allowable output range is set in advance for each power plant, and energy storage devices are aggregated under the premise that output will be controlled within that allowable output range during normal times. This allows for the establishment of a system in which a highly efficient operation plan for the entire system is formulated without significantly impairing the output efficiency of the power plants, and power plants and energy storage devices are controlled based on that plan.

[0020] (1) System configuration of cooperative control device 1 FIG. 1 is a block diagram showing a system configuration of a cooperative control device compatible with a centralized power source and a distributed energy storage device. The cooperative control device 1 includes at least a CPU (Central Processing Unit) 10, an input / output device 11, a communication device 12, and a storage device 13. Here, the cooperative control device 1 may be a cloud server or a local server installed in a specific location.

[0021] The CPU 10 is a processor that controls the overall operation of the cooperative control device 1. The storage device 13 is composed of a semiconductor memory or the like and is mainly used to store and hold various programs. The CPU 10 executes the various programs stored in the storage device 13, thereby performing various processes of the entire cooperative control device 1, as will be described later. The communication device 12 has a function of communicating with an external terminal using a communication method that complies with a predetermined communication standard.

[0022] The input / output device 11 is composed of an input device and an output device. The input device is hardware that allows a user to input various operations, and may be, for example, a keyboard, a mouse, or a touch panel. The output device is hardware that outputs images and sounds, and may be, for example, a liquid crystal display or a speaker. The cooperative control device 1 is also connected to a plurality of power plants 3, a plurality of energy storage devices 4, and a power grid 5 via a communication network 2, and performs bidirectional communication with each of them.

[0023] Each power plant 3 includes at least an electronic terminal 31 and a generator 32. The electronic terminal 31 has at least a function of displaying information received from the cooperative control device 1 and a function of transmitting information about the power plant 3 to the cooperative control device 1. The generator 32 has a function of being able to receive commands from the cooperative control device 1 and operate it remotely.

[0024] The energy storage device 4 includes at least an electronic terminal 41 and an energy storage device 42. The electronic terminal 41 has at least a function of displaying information received from the cooperative control device 1 and a function of transmitting information of the energy storage device 4 to the cooperative control device 1. The energy storage device 42 is a device that has a function of being able to be operated remotely upon receiving a command from the cooperative control device 1, and corresponds to at least one of, for example, a storage battery, a unit consisting of a hydrogen production device, a hydrogen storage tank, and a fuel cell, etc.

[0025] The power system 5 includes at least an electronic terminal 51. The electronic terminal 51 has at least a function of displaying information received from the cooperative control device 1 and a function of transmitting information about the power system 5 to the cooperative control device 1.

[0026] (2) Power supply coordination control function Next, the power supply cooperative control function installed in the cooperative control device 1 will be described. The power supply cooperative control function is composed of at least a power supply control planning function and a power supply control function. The power supply control planning function predicts the amount of adjustment power supply from the power plant 3 within the allowable output range from various data, and takes into account the amount of adjustment power that the energy storage device 4 can supply and the supply and demand situation of the power system 5, and plans the operation of the power plant 3 and the energy storage device 4 in a way that makes the system as a whole highly efficient. The power supply control function is a function that controls the generator 32 and the energy storage device 42 based on the operation plan formulated by the power supply control plan formulation function.

[0027] As means for realizing these power supply cooperative control functions, a power supply control plan formulation unit 101 and a power supply control unit 102 shown in FIG. 1 are stored as programs in the storage device 13 of the cooperative control device 1. The power supply control planning unit 101 is a program that has the function of planning an operation plan for the power plant 3 and the energy storage device 4 in a manner that achieves high efficiency for the entire system, taking into account the adjustable power supply capacity of the energy storage device 4 and the supply and demand situation of the power system 5. The power supply control unit 102 is a program having a function of controlling the power generator 32 and the energy storage device 42 based on the plan formulated by the power supply control plan formulation unit 101.

[0028] FIG. 2 is a block diagram showing the software and database (DB) that constitute the power supply control plan formulation unit 101. As shown in FIG. The power supply control plan formulation unit 101 stores an energy storage device required amount calculation unit 201 and an operation plan formulation unit 202, and also has databases (DBs) for managing necessary information, such as power plant output characteristic data DB1, power plant operation status data DB2, power plant allowable output range data DB3, system supply and demand data DB10, energy storage device characteristic data DB20, energy storage device operation status data DB21, and operation plan DB30.

[0029] The energy storage device required amount calculation unit 201 is a module that has the function of calculating the required amount of power as adjustment power to be supplied from the energy storage device 4 based on power plant output characteristic data, power plant operation status data, power plant allowable output range data, and system supply and demand data, and outputs this required amount of power to the operation plan formulation unit 202.

[0030] The operation plan creation unit 202 is a module having a function of receiving output from the energy storage device required amount calculation unit 201 and creating an operation plan for the generator 32 and the energy storage equipment 42 by taking into consideration the energy storage device characteristic data and the energy storage device operating status data. The operation plan for the generator 32 and the energy storage equipment 42 created by the operation plan creation unit 202 is input to the operation plan DB 30. Furthermore, if the operation plan creation unit 202 is unable to create an operation plan, it notifies the energy storage device required amount calculation unit 201 of this fact.

[0031] (3) Various processes related to power supply coordination control functions Next, we will explain the details of various processes related to the power supply cooperative control function that are executed by the cooperative control device 1. Note that, although the various processes are explained below as being executed by programs or modules, in reality, the CPU 10 executes the processes based on the programs or modules.

[0032] FIG. 3 is a diagram showing a flow (processing flow) of a series of processes (hereinafter referred to as "power supply cooperative control process") of the power supply cooperative control function. In step 101 (S101), the power supply control planning unit 101 executes a series of processes (hereinafter referred to as "power supply operation planning process") to determine the power plants 3 and energy storage devices 4 to be operated as adjustment capacity so that the efficiency of the entire system is high.

[0033] In step 102 (S102), the power supply control unit 102 executes a series of processes (hereinafter referred to as "power supply control processes") to control the power plant 3 and the energy storage device 4 based on the plan formulated by the power supply operation plan formulation process in step 101 (S101). Here, the power supply operation plan formulation process in step 101 (S101) is executed periodically (for example, every 30 minutes) in accordance with the status of the power system.

[0034] On the other hand, the power supply control process in step 102 (S102) is executed periodically (for example, every one minute) to balance the supply and demand of the power system.

[0035] FIG. 4 is a flowchart showing a specific process of the power supply operation planning process shown in step 101 (S101) of FIG. 3, which is executed by the power supply control planning unit 101. In FIG. In step 201 (S201), the energy storage device requirement calculation unit 201 performs an energy storage device requirement calculation process to calculate the capacity of the energy storage device 4 that should be secured as an adjustment capability.

[0036] Here, the details of the processing of step 201 (S201) will be explained using Fig. 5. Fig. 5 is a diagram showing a flowchart of specific processing of the energy storage device required amount calculation processing of step 201 (S201). The processing entity of the series of processing shown in this flowchart is the energy storage device required amount calculation unit 201. Below, a description of this processing entity will be omitted.

[0037] In step 211 (S211), power plant output characteristic data, power plant operating status data, and power plant allowable output range data are acquired. The power plant output characteristic data includes information about the combination of output and energy efficiency of each power plant. For example, an example of the power plant output characteristic data DB1 is managed in the table format shown in Figure 8. Note that for the "design output range" in this DB1 table, the value on the left indicates the minimum value and the value on the right indicates the maximum value.

[0038] The power plant operational status data includes information indicating the actual output of each power plant. For example, as an example of the power plant operational status data DB2, it is managed in the table format shown in Figure 9. This DB2 table stores the actual measured power output value of each power plant at the time of a timestamp.

[0039] The power plant allowable power range data includes information on the extent to which output changes are permitted at each power plant under normal conditions. For example, the power plant allowable power range data DB3 is managed in the table format shown in Figure 10. Note that for the "allowable power range" in this DB3 table, the value on the left indicates the minimum value and the value on the right indicates the maximum value.

[0040] In step 212 (S212), the amount of adjustment power supply within the range of the allowable output range is calculated based on the power plant operation status data and the power plant allowable output range data acquired in step 211 (S211). Specifically, the upward balancing reserve supply amount [UpBalancing] of power plant g at time t g (t) and DownBalancing g(t) is the output of power plant g [Generation] g (t) and the allowable power range for power plant g [[MinGeneration] g ,[MaxGeneration] g ] is used to calculate [Equation 1] (up regulation power supply amount) and [Equation 2] (down regulation power supply amount).

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[0041] In step 213 (S213), system supply and demand data is acquired. The system supply and demand data includes information on the difference between the power demand forecast for the near future (e.g., 30 minutes from now) and the current power supply amount. For example, as an example of the system supply and demand data DB10, it is managed in the table format shown in FIG. 11. This table of DB10 stores the difference between the power demand forecast at the time of a timestamp and the current power supply amount (power generation amount).

[0042] In step 214 (S214), the adjustment margin supply amount calculated in step 212 (S212) and the system supply and demand data acquired in step 213 (S213) are used to calculate the required amount of energy storage equipment. Specifically, the required capacity of the energy storage device at time t, RequiredCap(t), is calculated using the difference (Difference(t)) between the power demand forecast at time t and the current power supply amount and the adjustment capacity supply amount (increase or decrease) according to [Equation 3]. Regarding [Equation 3], the "0" in parentheses means that the power plant will cover all of the demand.

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[0043] Returning to FIG. 4, the next step 202 (S202) will be described. In step 202 (S202), the operation plan formulation unit 202 performs an energy storage unit matching process to designate the energy storage unit 4 that is to supply adjustment power.

[0044] Here, the details of the processing of step 202 (S202) will be explained using Fig. 6. Fig. 6 is a diagram showing a flowchart of specific processing of the energy storage device matching processing of step 202 (S202). The processing entity of each step in this flowchart is the operation plan formulation unit 202, but hereinafter, description of the processing entity will be omitted.

[0045] In step 221 (S221), the energy storage device required amount calculated in the energy storage device required amount calculation process in step 201 (S201) is acquired.

[0046] In step 222 (S222), energy storage device characteristic data and energy storage device operating status data are acquired.

[0047] Here, the energy storage device characteristic data includes information on the output characteristics of the energy storage equipment included in each energy storage device. For example, as an example of the energy storage device characteristic data DB20, it is managed in the table format shown in Fig. 12. The table of this DB20 stores the output, capacity, response time, and response cost of the energy storage equipment (storage battery B101, hydrogen generator B102) included in each energy storage device.

[0048] The energy storage device operation status data also includes information indicating the actual amount of energy stored in the energy storage device provided in each energy storage device. For example, as an example of the energy storage device operation status data DB21, it is managed in the table format shown in Fig. 13. This DB21 table stores the remaining capacity of the energy storage device (storage battery B101, hydrogen generator B102) provided in each energy storage device at the time of a timestamp.

[0049] In step 223 (S223), the energy storage device response capacity is calculated from the acquired energy storage device characteristic data and energy storage device operating status data. Specifically, the up-response capacity UpCap of the energy storage device b at time t b (t) and DownCap b (t) is the remaining charge of the energy storage device b. b (t) and the rated capacity Cap of the energy storage device b b These response capacity amounts are calculated for each energy storage device, and the sum of these amounts is the energy storage device response capacity amount.

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[0050] In step 224 (S224), the required amount of energy storage device obtained in step 221 (S221) is compared with the available amount of energy storage device response calculated in step 223 (S223), and it is determined whether the available amount of energy storage device response is greater than the required amount of energy storage device.

[0051] If the determination result in step 224 (S224) is YES, in step 225 (S225), energy storage unit matching is performed to assign energy storage units to be used as adjustment capacity at time t, starting with the energy storage units with the lowest response costs, until the total response capacity exceeds the required amount of the energy storage units. After this matching is completed, the energy storage unit matching process is terminated.

[0052] If the determination result at step 224 (S224) is NO, data indicating that matching has failed is output, and the energy storage device matching process is terminated.

[0053] Returning to FIG. 4, the following step 203 (S203) will be explained. In step 203 (S203), the operation plan formulation unit 202 performs a matching result determination process that performs case discrimination based on the output result of step 202 (S202). If the process of step 225 (S225) has been executed in the energy storage device matching process of the previous step 202 (S202), the determination result is YES, and the process proceeds to step 205 (S205). On the other hand, if the process of step 225 (S225) has not been executed, the determination result is NO, and the process proceeds to step 204 (S204).

[0054] Only if the result of this determination is NO, in step 204 (S204), a power supply operation plan formulation process is performed in the event of a tight supply and demand situation, and an operation plan is formulated to balance supply and demand by changing the power plant's output beyond the power plant's allowable output range.

[0055] 7 is a flowchart showing the specific processing of the power supply operation plan formulation process during tight supply and demand in step 204 (S204). Each process in this flowchart is performed by the operation plan formulation unit 202, but the description of the processing entity will be omitted below.

[0056] In step 241 (S241), the energy storage device characteristic data and the energy storage device operating status data are acquired. This acquisition process is the same as that in the previous step 222 (S222).

[0057] In step 242 (S242), the energy storage device response capacity is calculated from the acquired energy storage device characteristic data and energy storage device operating status data. The details of this calculation process are the same as those in the previous step 223 (S223), so a description thereof will be omitted.

[0058] In step 243 (S243), the system supply and demand data is acquired.

[0059] In step 244 (S244), the adjustment capability shortage amount is calculated from the system supply and demand data acquired in step 243 (S243) and the energy storage device responsive capacity calculated in step 242 (S242). Specifically, the balancing capacity deficit RequiredBalancing(t) is calculated by the difference (Difference(t)) between the power demand forecast at time t and the current power supply amount and the up-response capacity [UpCap] of multiple energy storage devices b at time t. b (t) or Down Cap b (t) is used to calculate using [Equation 6].

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[0060] In step 245 (S245), power plant output characteristic data and power plant operating status data are acquired.

[0061] In step 246 (S246), on the premise that all energy storage devices capable of responding are operated, the power plant output characteristic data and power plant operation status data acquired in step 245 (S245) are referenced, and the output change amounts from each power plant are summed up under conditions where the output can be changed up to the limit of the design output range of each power plant, starting with the power plant with the lowest energy efficiency. An operation plan is created in which the power plants targeted for output change are assigned as power plants whose output will be changed at time t until the summed output change amount exceeds the adjustment capability shortage calculated in step 244 (S244).

[0062] Returning to FIG. 4, in the final step 205 (S205), the created operation plan is stored in the operation plan DB 30 as a power supply operation plan.

[0063] Furthermore, returning to FIG. 3, the power supply control process in step 102 (S102) will be described. In step 102 (S102), the power supply control unit 102 performs power supply control processing to control the generator 32 of the power plant 3 and the energy storage device 42 of the energy storage device 4 based on the result of the energy storage device required amount calculation processing in step 201 (S201). This power supply control may be performed remotely via the communication network 2, or may be performed offline by incorporating this power supply control unit 102 into the generator 32 and the energy storage device 42, respectively.

[0064] As described above, the cooperative control device of this embodiment sets an allowable output range for each power plant in advance, and aggregates energy storage devices on the premise that output will be controlled within that range under normal circumstances. This allows a highly efficient operation plan to be created for the entire system without significantly impairing the output efficiency of the power plants, and the power plants and energy storage devices are cooperatively controlled based on that plan.

[0065] In the above-described embodiment, when the supply and demand balance cannot be achieved within the allowable output range of the power plant by prioritizing the output change of the power plant, the remainder is absorbed by aggregating energy storage devices. However, the present invention can also be applied to operations in which the energy storage devices are aggregated as much as possible to supply adjustment capacity and the remainder is compensated for by changing the output of the power plant. In this case, in power source operation plan formulation processing step 101 (S101), processing can be started from step 204 (S204) without performing step 201 (S201), step 201 (S202), and step 203 (S203).

[0066] Furthermore, in the above-described embodiments, a unit consisting of a chargeable and dischargeable storage battery, a hydrogen production device, a hydrogen storage tank, and a fuel cell was given as an example of the energy storage device to be controlled, but even general electrical equipment such as pumps and heating and cooling devices can be regarded as devices with a maximum discharge output of 0 and an infinite rated capacity, and can be used as equipment to reduce excess power supply.

[0067] Although the examples have been described above as embodiments of the present invention, the present invention is not limited to the above examples, and various modifications are possible within the scope of the gist of the present invention. [Explanation of symbols]

[0068] 1... Cooperative control device, 2... Communication network, 3... Power plant, 4... Energy storage device, 5...Power system, 10...CPU, 11...I / O device, 12...Communication device, 13...Storage device, 31, 41, 51...Electronic terminal, 32...Generator, 42...Energy storage device, 101...power supply control planning unit, 102...power supply control unit, 201...Energy storage device required amount calculation unit, 202...Operation plan planning unit, DB1: Power plant output characteristics data, DB2: Power plant operating status data, DB3...Power plant allowable output range data, DB10...Grid supply and demand data, DB20...Energy storage device characteristic data, DB21: Energy storage device operation status data, DB30: Operation plan

Claims

1. A cooperative control device that controls a power plant and an energy storage device connected to a power grid, a power supply control planning unit that creates an electric power operation plan that combines a plurality of power plants that operate within an allowable output range and a plurality of energy storage devices that operate as adjusting capacity to balance the supply and demand of electric power; a power supply control unit that controls the plurality of power plants and the plurality of energy storage devices based on the proposed power operation plan; A cooperative control device comprising:

2. The cooperative control device according to claim 1, The power supply control plan formulation unit calculates a total capacity to be aggregated from the energy storage devices based on a power plant allowable output range that is allowable under normal circumstances as an output of each of the power plants and supply and demand data of the power system, and determines the energy storage devices that satisfy the calculated total capacity to be aggregated. A cooperative control device characterized by:

3. The cooperative control device according to claim 2, The power supply control planning unit allocates the energy storage devices in order of lowest response cost when determining the energy storage devices. A cooperative control device characterized by:

4. The cooperative control device according to claim 2, When the total capacity of all the energy storage devices that can respond is less than the total capacity to be aggregated, the power supply control plan formulation unit formulates the power operation plan that changes the output of the power plant on the premise that all the energy storage devices that can respond are operated. A cooperative control device characterized by:

5. The cooperative control device according to any one of claims 1 to 4, The energy storage device includes an energy storage device comprising at least one of a storage battery, a unit comprising a hydrogen production device, a hydrogen storage tank, and a fuel cell. A cooperative control device characterized by:

6. A cooperative control method for controlling a power plant and an energy storage device connected to a power grid, comprising: a planning step of formulating an electric power operation plan by combining a plurality of power plants operating within an allowable output range and a plurality of energy storage devices operating as an adjusting force for the balance of supply and demand of electric power; a power supply control step of controlling the plurality of power plants and the plurality of energy storage devices based on the power operation plan that has been formulated; A cooperative control method comprising:

7. The cooperative control method according to claim 6, In the planning step, a total capacity to be aggregated from the energy storage devices is calculated based on a power plant allowable output range that is allowable as an output of each power plant under normal circumstances and supply and demand data of the power system, and the energy storage devices that satisfy the calculated total capacity to be aggregated are determined. A cooperative control method characterized by:

8. The cooperative control method according to claim 7, In the planning step, the energy storage devices are allocated in order from the energy storage device with the lowest response cost. A cooperative control method characterized by:

9. The cooperative control method according to claim 7, In the planning step, if the total capacity of all the energy storage devices that can respond is less than the total capacity to be aggregated, an electric power operation plan is created that changes the output of the power plant on the premise that all the energy storage devices that can respond are operated. A cooperative control method characterized by:

Citation Information

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