Configuration Method and Equipment of Energy Storage System for Deep Peak Regulation in Collaboration with Power Plants

Abstract

The present invention discloses a configuration method and device for an energy storage system for collaborative deep peak shaving of power plants. The method includes: determining the configurable power range of the energy storage system under typical days; generating adjusted AGC command data corresponding to each configurable power within the configurable power range according to the historical automatic generation control (AGC) command data of the unit without the energy storage system installed under typical days; calculating the expected action times of the unit at each configurable power and the safe capacity of the energy storage system at each configurable power based on the adjusted AGC command data corresponding to each configurable power, the action dead zone of the unit, and the safe load increase and decrease rate during the deep peak shaving period; constructing and outputting an optional configuration plan for the energy storage system including each configurable power, the expected action times at each configurable power, and the safe capacity at each configurable power, achieving the goal of configuring a power-type energy storage system with reduced unit action times and reducing the configuration cost of the energy storage system.

Description

Technical Field

[0001] The present invention belongs to the technical field of deep peak shaving of power plants, and particularly relates to a configuration method and device for an energy storage system for coordinating deep peak shaving of power plants. Background Art

[0002] Deep peak shaving of units is the basis for opening the power auxiliary service market and improving the new energy consumption capacity. Traditional deep peak shaving instructions are issued by dispatchers through telephone, which has the disadvantages of long adjustment cycle, low adjustment rate, and poor load tracking real-time performance, and cannot meet the refined requirements of new energy real-time consumption. Therefore, the existing deep peak shaving technology has begun to be switched to real-time control by Automatic Gain Control (AGC). The AGC instruction is used to realize the real-time control of the deep peak shaving of the unit from the dispatching end, improve the technical support ability for the peak shaving auxiliary service market, and utilize the market mechanism to realize the real-time consumption of new energy. However, the AGC real-time control strategy makes the unit act frequently under low load, bringing new challenges to the safe operation of the unit. And configuring an energy storage system under the deep peak shaving of the unit is an effective solution to reduce the number of unit actions.

[0003] In the prior art, when configuring an energy storage system, usually with the goal of maximizing the energy transferred by the energy storage system, data such as the return on investment of the energy storage system participating in peak shaving synergistically is calculated to configure an energy-based energy storage system. However, in the deep peak shaving scenario, the difference between the peak value and the valley value is large, the required energy storage system capacity is large and the cost is high, and when the energy storage system participates in peak shaving synergistically, it is easy to exceed the load rising and falling rate limit of the deep peak shaving interval of the power plant, and the safety is poor. Summary of the Invention

[0004] The main object of the present invention is to provide a configuration method and device for an energy storage system for coordinating deep peak shaving of power plants, so as to solve the problems of high cost and low safety of the configured energy storage system for coordinating deep peak shaving of power plants in the prior art.

[0005] In view of the above problems, the present invention provides a configuration method for an energy storage system for coordinating deep peak shaving of power plants, including:

[0006] Determine the configurable power range of the energy storage system under a typical day; wherein, each configurable power in the configurable power range corresponds to a different unit action dead zone;

[0007] Generate adjusted AGC instruction data corresponding to each configurable power according to the historical Automatic Gain Control (AGC) instruction data of the unit without installing an energy storage system under a typical day;

[0008] Based on the adjusted AGC instruction data corresponding to each configurable power and the unit action dead zone, calculate the expected number of actions of the unit at each configurable power;

[0009] Calculate the safety capacity of the energy storage system at each configurable power based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data.

[0010] Construct an optional configuration plan for the energy storage system according to each configurable power, the expected number of actions at each configurable power, and the safety capacity at each configurable power.

[0011] Output the optional configuration plan.

[0012] Furthermore, in the configuration method of the energy storage system for coordinating the deep peak shaving of the power plant, the determination of the configurable power range of the energy storage system under a typical day includes:

[0013] Determine the safe action dead zone of the unit according to the safe load rising and falling rate during the deep peak shaving period and the preset dead zone response time.

[0014] Determine the configurable power range according to the initial action dead zone of the unit without installing the energy storage system and the safe action dead zone.

[0015] Furthermore, in the configuration method of the energy storage system for coordinating the deep peak shaving of the power plant, generating the adjusted AGC command data corresponding to each configurable power according to the historical AGC command data of the unit without installing the energy storage system under a typical day includes:

[0016] If the historical AGC command data at time i changes compared with the historical AGC command data at time i - 1, and the historical AGC command data at time i exceeds the current configured power of the energy storage system, use the historical AGC command data at time i as the adjusted AGC command data.

[0017] If the historical AGC command data at time i does not change compared with the historical AGC command data at time i - 1, use the historical AGC command data at time i - 1 as the adjusted AGC command data.

[0018] If the historical AGC command data at time i changes compared with the historical AGC command data at time i - 1, and the historical AGC command data at time i does not exceed the current configured power of the energy storage system, use the historical AGC command data at time i - 1 as the adjusted AGC command data.

[0019] Furthermore, in the configuration method of the energy storage system for coordinating the deep peak shaving of the power plant, calculate the expected number of actions of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the action dead zone of the unit, including:

[0020] Calculate the transition span between the adjusted AGC command data and the historical actual operation data of the unit without an energy storage system installed on a typical day;

[0021] If the value corresponding to the transition span is greater than the value corresponding to the unit action dead zone, increment the predicted action count by 1.

[0022] Furthermore, in the above-mentioned method for configuring an energy storage system for coordinated power plant deep peak shaving, based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data, calculate the safe capacity of the energy storage system at each configurable power, including:

[0023] Based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data, determine the actual operating power of the energy storage system within a set time period;

[0024] According to the actual operating power of the energy storage system and the charge and discharge time of the energy storage system, determine the maximum charge and discharge capacity value of the energy storage system within the set time period;

[0025] Take the product of the maximum charge and discharge capacity value and a preset safety factor as the safe capacity of the energy storage system.

[0026] Furthermore, in the above-mentioned method for configuring an energy storage system for coordinated power plant deep peak shaving, according to each configurable power, the predicted action count at each configurable power, and the safe capacity at each configurable power, construct an optional configuration plan for the energy storage system, including:

[0027] According to each configurable power, the predicted action count at each configurable power, and the safe capacity at each configurable power, construct an optional configuration plan for the energy storage system presented in the form of a Pareto front surface.

[0028] Furthermore, in the above-mentioned method for configuring an energy storage system for coordinated power plant deep peak shaving, before determining the configurable power range of the energy storage system on a typical day, it further includes:

[0029] Statistically count the existing daily action counts of the unit without an energy storage system installed on multiple typical days;

[0030] Select the typical day with the largest number of action counts as the typical day for configuring the power-type energy storage system.

[0031] The present invention also provides a device for configuring an energy storage system for coordinated power plant deep peak shaving, including:

[0032] A determination module, configured to determine the configurable power range of the energy storage system on a typical day; wherein, each configurable power within the configurable power range corresponds to a different unit action dead zone;

[0033] A generation module, configured to generate adjusted AGC command data corresponding to each configurable power according to historical automatic generation control (AGC) command data of the unit without an energy storage system installed under typical days.

[0034] A calculation module, configured to calculate the expected action times of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit action dead zone; and calculate the safety capacity of the energy storage system at each configurable power based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data.

[0035] A construction module, configured to construct an optional configuration plan for the energy storage system according to each configurable power, the expected action times at each configurable power, and the safety capacity at each configurable power.

[0036] An output module, configured to output the optional configuration plan.

[0037] The present invention also provides a storage medium, on which a computer program is stored. When the computer program is executed by a controller, the steps of the configuration method of the energy storage system for collaborative deep peak shaving of a power plant as described in any one of the above are implemented.

[0038] The present invention also provides a configuration device for an energy storage system for collaborative deep peak shaving of a power plant, including a memory and a controller;

[0039] The computer program is stored on the memory. When the computer program is executed by the controller, the steps of the configuration method of the energy storage system for collaborative deep peak shaving of a power plant as described in any one of the above are implemented.

[0040] Compared with the prior art, one or more embodiments of the above solution may have the following advantages or beneficial effects:

[0041] Applying the configuration method and device of the energy storage system for collaborative deep peak shaving of power plants, by determining the configurable power range of the energy storage system under typical days, and generating adjusted AGC command data corresponding to each configurable power based on the historical automatic generation control (AGC) command data of the unit without the energy storage system installed under typical days, then calculating the expected action times of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit action dead zone, calculating the safety capacity of the energy storage system at each configurable power based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data, and constructing and outputting the optional configuration scheme of the energy storage system according to each configurable power, the expected action times at each configurable power, and the safety capacity at each configurable power, it realizes the configuration of the power type energy storage system with the goal of reducing the action times of the unit, compensates for the volatility of the dispatching control command during the deep peak shaving of the power plant, reduces the operation pressure of the low load operation control, enables the unit to operate under smooth variable working conditions or stable load, which is beneficial to the life and safety of the unit. At the same time, the capacity of the configured power type energy storage system is much smaller than that of the energy type energy storage, reducing the configuration cost of the energy storage system.

[0042] Other features and advantages of the present invention will be described in the following specification, and will be partially obvious from the specification, or understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in the specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings are used to provide further understanding of the present invention, and constitute a part of the specification, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0044] Figure 1 It is a flowchart of an embodiment of the configuration method of the energy storage system for collaborative deep peak shaving of power plants according to the present invention;

[0045] Figure 2 It is a schematic diagram of the Pareto frontier surface corresponding to the power configuration, expected action times, and safety capacity requirements of a certain 360MW unit;

[0046] Figure 3 It is a schematic diagram of the action situation of the unit during the deep peak shaving period when the 360MW unit does not install the energy storage system;

[0047] Figure 4 It is a schematic diagram of the action situation of the unit during the deep peak shaving period when the 360MW unit installs the energy storage system;

[0048] Figure 5 It is a schematic structural diagram of an embodiment of the configuration device of the energy storage system for collaborative deep peak shaving of power plants according to the present invention. Specific Embodiment

[0049] The following will combine the accompanying drawings and embodiments to elaborate in detail on the implementation manner of the present invention, so as to fully understand how the present invention applies technical means to solve technical problems and the implementation process of achieving technical effects and implement accordingly. It should be noted that as long as there is no conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0050] Embodiment 1

[0051] To solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a configuration method for an energy storage system for collaborative deep peak shaving of power plants.

[0052] Figure 1 is a flowchart of an embodiment of the configuration method for an energy storage system for collaborative deep peak shaving of the present invention. As Figure 1 shown, the configuration method for an energy storage system for collaborative deep peak shaving in this embodiment may specifically include the following steps:

[0053] 100. Determine the configurable power range of the energy storage system under typical days;

[0054] Specifically, this patent is for units that use AGC commands to achieve real-time control of unit deep peak shaving from the dispatching end. Therefore, the typical day should include the deep peak shaving period, and the AGC command should be in seconds. In this embodiment, the safe load rising and falling rates and the dead zone response time in the specified deep peak shaving period interval can be obtained from the power plant operation safety regulations. In this way, the safe action dead zone of the unit can be determined according to the safe load rising and falling rates in the deep peak shaving period interval and the preset dead zone response time, thereby preventing the actual rising and falling rates in the deep peak shaving period interval from exceeding the safe load rising and falling rates when the energy storage capacitor is configured, improving the operation safety of the power plant. For example, the safe load rising and falling rate in the deep peak shaving period interval is 5MW / min, and the dead zone response time is 1min, then the safe action dead zone of the unit is 5MW.

[0055] Generally, when the unit is not equipped with an energy storage system, an initial action dead zone will be set. Therefore, after determining the safe action dead zone of the unit, the configurable power range can be determined according to the initial action dead zone and the safe action dead zone when the unit is not equipped with an energy storage system, where each configurable power in the configurable power range corresponds to a different unit action dead zone. For example, the initial action dead zone when the unit is not equipped with an energy storage system is 1MW, and the configurable power range is 0MW - 4MW.

[0056] It should be noted that if there is no requirement for the action dead zone when the unit is not equipped with an energy storage system, it can be considered that the action dead zone at this time is 0MW.

[0057] The typical day in this embodiment can be determined in the following way: count the existing daily action times of the unit under multiple groups of typical days when the energy storage system is not installed on the unit; select the typical day with the largest number of action times as the typical day for configuring the power-type energy storage system.

[0058] Specifically, if the power plant records each action of the unit, the existing daily action times of the unit under multiple groups of typical days when the energy storage system is not installed on the unit can be directly obtained from the recorded data. If the power plant does not record each action of the unit, according to the transition span between the historical AGC command data of the unit when the energy storage system is not installed and the historical actual operation data of the unit when the energy storage system is not installed under typical days, if the value corresponding to the transition span is greater than the value corresponding to the unit action dead zone of the unit when the energy storage system is not installed, add 1 to the number of actions, and the existing daily action times of the unit under multiple groups of typical days when the energy storage system is not installed on the unit can be counted.

[0059] 101. Generate adjusted AGC command data corresponding to each configurable power according to the historical AGC command data of the unit when the energy storage system is not installed under typical days;

[0060] In this embodiment, the historical AGC command data of the unit when the energy storage system is not installed under typical days can be collected. In this way, after determining the configurable power range of the energy storage system under typical days, combined with the historical AGC command data of the unit when the energy storage system is not installed under typical days, for each configurable power within the configurable power range, corresponding adjusted AGC command data can be generated.

[0061] Specifically, if the historical AGC command data at time i changes relative to the historical AGC command data at time i-1, and the historical AGC command data at time i exceeds the current configured power of the energy storage system, the historical AGC command data at time i is used as the adjusted AGC command data; if the historical AGC command data at time i does not change relative to the historical AGC command data at time i-1, the historical AGC command data at time i-1 is used as the adjusted AGC command data; if the historical AGC command data at time i changes relative to the historical AGC command data at time i-1, and the historical AGC command data at time i does not exceed the current configured power of the energy storage system, the historical AGC command data at time i-1 is used as the adjusted AGC command data.

[0062] 102. Calculate the expected action times of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit action dead zone;

[0063] Specifically, the transition span between the adjusted AGC command data and the historical actual operation data of the unit without an energy storage system installed under typical days can be calculated; if the value corresponding to the transition span is greater than the value corresponding to the unit's action dead zone, the expected number of actions is incremented by 1. For example, the historical actual operation data of the unit without an energy storage system installed under typical days is 500 MW, the adjusted AGC command data is 510 MW, and the value corresponding to the unit's action dead zone is 5 MW. The transition span between the adjusted AGC command data and the historical actual operation data of the unit without an energy storage system installed under typical days is 10 MW. At this time, the expected number of actions can be incremented by 1.

[0064] 103. Calculate the safety capacity of the energy storage system at each configurable power based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data;

[0065] Specifically, based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data, the actual operating power of the energy storage system within the set time period can be determined; according to the actual operating power of the energy storage system and the charge and discharge time of the energy storage system, the maximum charge and discharge capacity value of the energy storage system within the set time period can be determined; the product of the maximum charge and discharge capacity value and the preset safety factor is used as the safety capacity of the energy storage system.

[0066] For example, the set time period can be 1 week. The charge and discharge conditions of the energy storage system within one week can be counted to obtain multiple sets of charge and discharge capacity values of the energy storage system within one week, and the product of the maximum charge and discharge capacity value and the preset safety factor is selected as the safety capacity of the energy storage system.

[0067] 104. Construct an optional configuration plan for the energy storage system according to each configurable power, the expected number of actions at each configurable power, and the safety capacity at each configurable power;

[0068] Specifically, according to each configurable power, the expected number of actions at each configurable power, and the safety capacity at each configurable power, an optional configuration plan for the energy storage system presented in the form of a Pareto front surface can be constructed.

[0069] 105. Output the optional configuration plan of the energy storage system.

[0070] In this embodiment, the optional configuration plan of the energy storage system can be output for relevant personnel to select a configurable power that meets the actual requirements according to the optional configuration plan of the energy storage system.

[0071] For example, Figure 2 is a schematic diagram of the Pareto front surface for the power configuration, expected number of actions, and safety capacity requirements corresponding to a certain 360 MW unit. Figure 2As can be seen from the Pareto frontier surface shown, when the power of the configured energy storage system increases, the number of operations can be effectively reduced, but the capacity configuration also increases accordingly. Relevant personnel can configure the energy storage system through this Pareto frontier surface in combination with the cost. Specifically, when the actual cost is relatively low, select the surface points with fewer expected operation times and lower capacity requirements as the configuration scheme of the energy storage system, so as to reduce the number of operations of the unit while reducing the cost of the energy storage system.

[0072] It should be noted that different colors are often used to represent the safety capacity in the Pareto frontier surface.

[0073] The configuration method of the energy storage system for collaborative power plant deep peak shaving in this embodiment determines the configurable power range of the energy storage system under typical days, and generates adjusted AGC command data corresponding to each configurable power according to the historical automatic generation control (AGC) command data of the unit without the energy storage system installed under typical days. Then, based on the adjusted AGC command data corresponding to each configurable power and the action dead zone of the unit, calculate the expected number of operations of the unit at each configurable power. Based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data, calculate the safety capacity of the energy storage system at each configurable power. And according to each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power, construct and output the optional configuration scheme of the energy storage system, achieving the goal of configuring a power-type energy storage system with the reduction of the number of unit operations. During the deep peak shaving of the power plant, it makes up for the volatility of the dispatching control command, reduces the operation pressure of low-load operation control, enables the unit to operate under smooth variable working conditions or stable stable loads, which is beneficial to the life and safety of the unit. At the same time, the capacity of the configured power-type energy storage system is much smaller than that of the energy-type energy storage, reducing the configuration cost of the energy storage system.

[0074] To verify the effectiveness of this application, a statistical comparison was made on the operation conditions of a 360MW unit without the energy storage system installed and with the energy storage system installed during the deep peak shaving period.

[0075] Figure 3 It is a schematic diagram of the operation conditions of the 360MW unit without the energy storage system installed during the deep peak shaving period. Figure 4 It is a schematic diagram of the operation conditions of the 360MW unit with the energy storage system installed during the deep peak shaving period. The test shows that when the unit is without the energy storage system installed, the daily number of operations of the unit during the deep peak shaving period reaches 315 times. When the deep peak shaving is carried out according to the configuration method of the energy storage system and the adjusted AGC command data of this application, the daily number of operations of the unit during the deep peak shaving is 41 times.

[0076] It should be noted that the method of the embodiment of the present invention can be executed by a single device, such as a computer or a server. The method of this embodiment can also be applied to a distributed scenario, and completed by multiple devices cooperating with each other. In this case of the distributed scenario, one of the multiple devices can only execute one or more steps of the method of the embodiment of the present invention, and these multiple devices will interact with each other to complete the described method.

[0077] Embodiment 2

[0078] To solve the above technical problems existing in the prior art, the embodiment of the present invention provides a configuration device for an energy storage system for coordinated deep peak shaving of power plants.

[0079] Figure 5 It is a schematic structural diagram of an embodiment of the configuration device for an energy storage system for coordinated deep peak shaving of power plants of the present invention, as Figure 5 shown, the configuration device for an energy storage system for coordinated deep peak shaving of power plants in this embodiment includes a determination module 50, a generation module 51, a calculation module 52, a construction module 53, and an output module 54.

[0080] The determination module 50 is used to determine the configurable power range of the energy storage system on a typical day; wherein, each configurable power in the configurable power range corresponds to a different unit action dead zone;

[0081] Specifically, according to the safe load increase and decrease rate during the deep peak shaving period and the preset dead zone response time for exiting the dead zone, determine the safe action dead zone of the unit; according to the initial action dead zone of the unit without installing the energy storage system and the safe action dead zone, determine the configurable power range.

[0082] The generation module 51 is used to generate adjusted AGC instruction data corresponding to each configurable power according to the historical automatic generation control (AGC) instruction data of the unit without installing the energy storage system on a typical day;

[0083] Specifically, if the historical AGC instruction data at time i changes relative to the historical AGC instruction data at time i - 1, and the historical AGC instruction data at time i exceeds the current configured power of the energy storage system, use the historical AGC instruction data at time i as the adjusted AGC instruction data; if the historical AGC instruction data at time i does not change relative to the historical AGC instruction data at time i - 1, use the historical AGC instruction data at time i - 1 as the adjusted AGC instruction data; if the historical AGC instruction data at time i changes relative to the historical AGC instruction data at time i - 1, and the historical AGC instruction data at time i does not exceed the current configured power of the energy storage system, use the historical AGC instruction data at time i - 1 as the adjusted AGC instruction data.

[0084] A calculation module 52, configured to calculate the expected number of operations of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the dead zone of unit operation; and calculate the safety capacity of the energy storage system at each configurable power based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data.

[0085] Specifically, calculate the transition span between the adjusted AGC command data and the historical actual operation data of the unit without an energy storage system on a typical day; if the value corresponding to the transition span is greater than the value corresponding to the dead zone of unit operation, add 1 to the expected number of operations.

[0086] Based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data, determine the actual operating power of the energy storage system within a set time period; according to the actual operating power of the energy storage system and the charge and discharge time of the energy storage system, determine the maximum charge and discharge capacity value of the energy storage system within the set time period; take the product of the maximum charge and discharge capacity value and a preset safety factor as the safety capacity of the energy storage system.

[0087] A construction module 53, configured to construct an optional configuration plan for the energy storage system according to each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power.

[0088] Specifically, construct an optional configuration plan for the energy storage system in the form of a Pareto front surface according to each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power.

[0089] An output module 54, configured to output the optional configuration plan.

[0090] Furthermore, a determination module 50 is further configured to count the existing daily number of operations of the unit without an energy storage system on multiple typical days; select the typical day with the largest number of operations as the typical day for configuring the power-type energy storage system.

[0091] The device in the above embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be elaborated herein.

[0092] Embodiment III

[0093] To solve the above technical problems existing in the prior art, an embodiment of the present invention provides a configuration device for an energy storage system for collaborative deep peak shaving of a power plant. The configuration device for the energy storage system for collaborative deep peak shaving of a power plant includes a memory and a controller.

[0094] A computer program is stored in a memory. When the computer program is executed by a controller, the steps of the configuration method of the energy storage system for coordinated deep peak shaving of power plants in the above embodiments are implemented.

[0095] Embodiment 4

[0096] To solve the above technical problems existing in the prior art, an embodiment of the present invention provides a storage medium.

[0097] The storage medium provided by the embodiment of the present invention has a computer program stored thereon. When the computer program is executed by a processor, the steps of the configuration method of the energy storage system for coordinated deep peak shaving are implemented.

[0098] It can be understood that the same or similar parts in the above embodiments can be referred to each other, and the content not detailed in some embodiments can be seen in the same or similar content of other embodiments.

[0099] It should be noted that in the description of the present invention, terms such as "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plural" refers to at least two.

[0100] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the technical field of the embodiments of the present invention.

[0101] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following well-known technologies in the art or a combination of them can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0102] Those of ordinary skill in the technical field of the present invention can understand that all or part of the steps carried by the methods in the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0103] In addition, each functional unit in various embodiments of the present invention may be integrated into a processing module, or each unit may exist physically alone, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0104] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, or the like.

[0105] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0106] Although the disclosed embodiments of the present invention are as above, the above content is only an embodiment adopted for the convenience of understanding the present invention and is not used to limit the present invention. Any person skilled in the art within the technical field to which the present invention pertains may make any modifications and changes in the form of implementation and details without departing from the spirit and scope disclosed by the present invention. However, the protection scope of the present invention shall still be subject to the scope defined by the appended claims.

Claims

1. A configuration method for an energy storage system for collaborative deep peak shaving of power plants, characterized in that Including: Determine the configurable power range of the energy storage system under typical days; wherein, each configurable power within the configurable power range corresponds to a different unit action dead zone; Generate adjusted AGC command data corresponding to each configurable power according to the historical automatic generation control (AGC) command data of the unit without the energy storage system under typical days; Calculate the expected action times of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit action dead zone; Calculate the safety capacity of the energy storage system at each configurable power based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data; Construct an optional configuration plan for the energy storage system according to each configurable power, the expected action times at each configurable power, and the safety capacity at each configurable power; Output the optional configuration plan; The generating of the adjusted AGC command data corresponding to each configurable power according to the historical AGC command data of the unit without the energy storage system under typical days includes: If the historical AGC command data at time i changes compared with the historical AGC command data at time i - 1, and the historical AGC command data at time i exceeds the current configured power of the energy storage system, take the historical AGC command data at time i as the adjusted AGC command data; If the historical AGC command data at time i does not change compared with the historical AGC command data at time i - 1, take the historical AGC command data at time i - 1 as the adjusted AGC command data; If the historical AGC command data at time i changes compared with the historical AGC command data at time i - 1, and the historical AGC command data at time i does not exceed the current configured power of the energy storage system, take the historical AGC command data at time i - 1 as the adjusted AGC command data.

2. The configuration method of the energy storage system for collaborative power plant deep peak shaving according to claim 1, characterized in that, The determining of the configurable power range of the energy storage system under typical days includes: Determine the safe action dead zone of the unit according to the safe load rising and falling rate during the deep peak shaving period and the preset dead zone response time; Determine the configurable power range according to the initial action dead zone of the unit without the energy storage system and the safe action dead zone.

3. The configuration method of the energy storage system for the collaborative power plant's deep peak shaving according to claim 1, wherein, The calculating of the expected action times of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit action dead zone includes: Calculate the transition span between the adjusted AGC command data and the historical actual operation data of the unit without the energy storage system under typical days; If the value corresponding to the transition span is greater than the value corresponding to the unit action dead zone, add 1 to the expected action times.

4. The configuration method of the energy storage system for the collaborative power plant's deep peak shaving according to claim 1, characterized in that, The calculating of the safety capacity of the energy storage system at each configurable power based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data includes: Determine the actual operating power of the energy storage system within a set time period based on the safe load rising and falling rate during the deep peak shaving period and each adjusted AGC command data; Determine the maximum charge-discharge capacity value of the energy storage system within the set time period according to the actual operating power of the energy storage system and the charge-discharge time of the energy storage system; Use the product of the maximum charge-discharge capacity value and a preset safety factor as the safety capacity of the energy storage system.

5. The configuration method of the energy storage system for the collaborative power plant's deep peak shaving according to claim 1, wherein, Construct an optional configuration plan for the energy storage system based on each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power, including: Construct an optional configuration plan for the energy storage system presented in the form of a Pareto front surface based on each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power.

6. The configuration method of the energy storage system for the collaborative power plant's deep peak shaving according to claim 1, characterized in that, Before determining the configurable power range of the energy storage system on a typical day, it also includes: Statistically count the existing daily number of operations of the unit on multiple typical days when the energy storage system is not installed on the unit; Select the typical day with the largest number of operations as the typical day for configuring the power-type energy storage system.

7. An energy storage system configuration device for collaborative deep peak shaving of power plants, characterized in that, Include: A determination module for determining the configurable power range of the energy storage system on a typical day; wherein, each configurable power within the configurable power range corresponds to a different unit operation dead zone; A generation module for generating adjusted AGC command data corresponding to each configurable power based on the historical automatic generation control (AGC) command data of the unit without the energy storage system installed on a typical day; A calculation module for calculating the expected number of operations of the unit at each configurable power based on the adjusted AGC command data corresponding to each configurable power and the unit operation dead zone; and, calculating the safety capacity of the energy storage system at each configurable power based on the safe load increase and decrease rate during the deep peak shaving period and each adjusted AGC command data; A construction module for constructing an optional configuration plan for the energy storage system based on each configurable power, the expected number of operations at each configurable power, and the safety capacity at each configurable power; An output module for outputting the optional configuration plan; The generating adjusted AGC command data corresponding to each configurable power based on the historical automatic generation control (AGC) command data of the unit without the energy storage system installed on a typical day includes: If the historical AGC command data at time i changes compared to the historical AGC command data at time i-1, and the historical AGC command data at time i exceeds the current configured power of the energy storage system, use the historical AGC command data at time i as the adjusted AGC command data; If the historical AGC command data at time i does not change compared to the historical AGC command data at time i-1, use the historical AGC command data at time i-1 as the adjusted AGC command data; If the historical AGC command data at time i changes compared to the historical AGC command data at time i-1, and the historical AGC command data at time i does not exceed the current configured power of the energy storage system, use the historical AGC command data at time i-1 as the adjusted AGC command data.

8. A storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by the controller, it implements the steps of the configuration method of the energy storage system for collaborative power plant deep peak shaving as described in any one of claims 1 to 6.

9. An equipment for configuring an energy storage system for cooperating with a power plant for deep peak shaving, characterized in that, Include a memory and a controller; A computer program is stored on the memory, and when the computer program is executed by a controller, the steps of the configuration method of the energy storage system for deep peak shaving of a collaborative power plant as described in any one of claims 1 to 6 are implemented.

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