Energy storage system power balancing scheduling method, system, device and storage medium

By receiving scheduling instructions and obtaining status information in the energy storage power station, and using the allocation algorithm to calculate the distribution power of the energy storage tank, the problem of inaccurate scheduling of energy storage tanks of different capacity is solved, and the accuracy of the power response of the energy storage power station and the extension of the life of the energy storage tank are achieved.

CN117477720BActive Publication Date: 2025-06-24JIANGSU TIANHE ENERGY STORAGE CO LTD
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Patent Information

Application Number
CN202311446008.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-11-01
Publication Date
2025-06-24
Estimated Expiration
2043-11-01

AI Technical Summary

Technical Problem

When existing energy storage power stations are equipped with energy storage tanks of different capacity, it is difficult to achieve the accuracy of power scheduling, resulting in the power of some energy storage tanks being too high or too low, affecting the operating life of the entire station.

Method used

By receiving scheduling instructions, the status information of the energy storage power station is obtained, including the rated capacity and residual power of various energy storage compartments. The preset distribution algorithm is used to calculate the total distributed power and distributed power of various energy storage compartments to ensure that each energy storage compartment evenly distributes power and corrects the residual power difference.

Benefits of technology

The accuracy of the power response of the energy storage power station is achieved, and the life of the energy storage cabin in the entire station is extended, making it more consistent.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides a power balance scheduling method, system, device and storage medium for an energy storage system. The scheduling method includes the following steps: receiving a scheduling instruction, where the scheduling instruction includes the total power to be scheduled; obtaining the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station, where the status information includes the rated capacity of the i-th type of energy storage cabin and the number of energy storage cabins in the i-th type of energy storage cabin, and the remaining power of the j-th energy storage cabin in the i-th type of energy storage cabin; obtaining the total allocated power of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station; obtaining the allocated power of the j-th energy storage cabin in the i-th type of energy storage cabin according to the total allocated power of the i-th type of energy storage cabin and the remaining power of the j-th energy storage cabin in the i-th type of energy storage cabin. The power balance scheduling method of the energy storage system of the present invention is applicable to an energy storage system with energy storage cabins having different rated capacities, ensuring accurate power response of the energy storage power station and consistent life of the energy storage cabins throughout the station.
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Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and specifically, to a power balancing scheduling method, system, device, and storage medium for an energy storage system. Background Art

[0002] An energy storage power station receives external power scheduling to achieve functions such as peak shaving and frequency modulation, smooth control, and planned curve, reducing the impact of new energy on the power grid and improving the economic benefits of the power station. The energy storage power station consists of multiple energy storage cabins, and each energy storage cabin includes an inverter and a battery stack. The charge or discharge rate is determined during the design of the battery stack.

[0003] When performing power scheduling for an energy storage power station, the total power of the power station is usually evenly distributed first, and then fine-tuned according to the remaining capacity of each energy storage cabin to make the remaining capacity of each energy storage cabin as consistent as possible. When the rated capacities of the energy storage cabins in the energy storage power station are the same, there is no problem with power scheduling according to the above method. However, new energy storage power stations usually configure energy storage according to the proportion of wind and solar power generation, and the total capacity of the energy storage power station is often not an integer multiple of the capacity of a single energy storage cabin. Therefore, from a cost perspective, sometimes two or more types of energy storage cabins with different capacities are configured. For example, a 10MW / 20MWh energy storage station is configured with 3 sets of 5.2MWh energy storage cabins and 1 set of 4.6MWh energy storage cabins. In this scenario, the above method is not suitable for power distribution. As shown in the above example, when the energy storage power station receives a 10MW scheduling instruction, if the remaining capacities of the 4 energy storage cabins are the same, each energy storage cabin evenly gets 2.5MW of power. If the charge or discharge rate of the energy storage cabin is 0.5, at this time, the 5.2MWh energy storage cabin does not reach the rated power of 2.6MW and finally operates at 2.5MW of power; the 4.6MWh energy storage cabin exceeds its rated power of 2.3MW and finally operates at 2.3MW of power; the actual operating power of the power station is 9.8MW (2.5 * 3 + 2.3), which does not meet the scheduling requirements. In addition, long-term operation will surely cause the 4.6MWh energy storage cabin to have a faster life loss, thereby affecting the operating life of the entire energy storage power station. Developing a scheduling method applicable to energy storage systems with energy storage cabins of different rated capacities is an urgent problem in the technical field of energy storage.

[0004] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present invention, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] Aiming at the problems in the prior art, the purpose of the present invention is to provide a power balancing scheduling method, system, device, and storage medium for an energy storage system. The power balancing scheduling method for the energy storage system is applicable to an energy storage system with energy storage cabins of different rated capacities, ensuring accurate power response of the energy storage power station and consistent life of the energy storage cabins throughout the station.

[0006] An embodiment of the present invention provides a method for power balancing scheduling of an energy storage system, including the following steps:

[0007] Receiving a scheduling instruction, where the scheduling instruction includes the total power P to be scheduled;

[0008] Obtaining the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station, where the status information includes the rated capacity of the i-th type of energy storage cabin and the number n of energy storage cabins in the i-th type of energy storage cabin i , the remaining power SOC of the j-th energy storage cabin in the i-th type of energy storage cabin ij , where m and n are integers respectively, i ∈ [1, m], and j ∈ [1, n i ;

[0009] Obtaining the total allocated power P of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station i ;

[0010] According to the total allocated power P of the i-th type of energy storage cabin i and the remaining power SOC of the j-th energy storage cabin in the i-th type of energy storage cabin ij Obtaining the allocated power P of the j-th energy storage cabin in the i-th type of energy storage cabin ij .

[0011] According to some examples of the present invention, the step of obtaining the total allocated power P of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station i includes:

[0012] Obtaining the total rated capacity C of the target energy storage power station, the total rated capacity C of the i-th type of energy storage cabin, i the average remaining power SOC of each energy storage cabin in the target energy storage power station, aver and the average remaining power SOC of the energy storage cabins in the i-th type of energy storage cabin i ;

[0013] Obtaining the total allocated power P of the i-th type of energy storage cabin according to a preset allocation algorithm i .

[0014] According to some examples of the present invention, in the step of obtaining the total allocated power P of the i-th type of energy storage cabin according to the preset allocation algorithm i , the total allocated power P i is a linear function of the total power P to be scheduled, where the slope of the linear function is the ratio of the total rated capacity C of the i-th type of energy storage cabin i in the total rated capacity C of the target energy storage power station, and the constant term is the average remaining power SOC of each energy storage cabin averThe correction value of the difference from the average remaining power SOC of the i-th type of energy storage module i of the energy storage module.

[0015] According to some examples of the present invention, the total allocated power of the i-th type of energy storage module, the remaining power of the j-th energy storage module, and the average remaining power SOC of the i-th type of energy storage module i are used to obtain the allocated power P of the j-th energy storage module of the i-th type of energy storage module ij In the step, the allocated power P of the j-th energy storage module of the i-th type of energy storage module ij is the sum of the value obtained by evenly distributing the total allocated power P of the i-th type of energy storage module i and the correction value of the difference between the average remaining power SOC of the i-th type of energy storage module i and the remaining power SOC of the j-th energy storage module of the i-th type of energy storage module ij .

[0016] According to some examples of the present invention, the scheduling method further includes:

[0017] According to the obtained allocated power P of the j-th energy storage module of the i-th type of energy storage module ij charge or discharge each energy storage module of the target energy storage power station.

[0018] According to some examples of the present invention, the m types of energy storage modules in the target energy storage power station are classified by the rated capacity of the energy storage module; and / or

[0019] The charging or discharging rate of each energy storage module is the same.

[0020] An embodiment of the present invention further provides an energy storage system power balance scheduling system for implementing the steps of the energy storage system power balance scheduling method. The power balance scheduling system includes an interaction module, a data acquisition module, and a calculation module, where:

[0021] The interaction module is used to receive a scheduling instruction, and the scheduling instruction includes the total power P to be scheduled;

[0022] The data acquisition module is used to obtain the power of the target energy storage power station and the status information of the m types of energy storage modules in the target energy storage power station. The status information includes the rated capacity of the i-th type of energy storage module and the number n of energy storage modules in the i-th type of energy storage module i , the remaining power SOCij of the j-th energy storage module of the i-th type of energy storage module, where m and n i are integers respectively, i ∈ [1, m], and j ∈ [1, n i ;

[0023] The calculation module is used to obtain the total allocated power Pi of the i-th type of energy storage module according to the rated capacity of the i-th type of energy storage module of the target energy storage power station; and

[0024] It is used to obtain the allocated power Pij of the j-th energy storage cabin of the i-th type of energy storage cabin according to the total allocated power Pi of the i-th type of energy storage cabin and the remaining power SOCij of the j-th energy storage cabin of the i-th type of energy storage cabin.

[0025] According to some examples of the present invention, the power balance scheduling system further includes an execution module;

[0026] The execution module is used to charge or discharge each energy storage cabin of the target energy storage power station according to the obtained allocated power Pij of the j-th energy storage cabin of the i-th type of energy storage cabin.

[0027] An embodiment of the present invention also provides an energy storage system power balance scheduling device, including:

[0028] A processor;

[0029] A memory, in which executable instructions of the processor are stored;

[0030] Wherein, the processor is configured to execute the steps of the energy storage system power balance scheduling method by executing the executable instructions.

[0031] An embodiment of the present invention also provides a computer-readable storage medium for storing a program, and when the program is executed by a processor, the steps of the energy storage system power balance scheduling method are implemented.

[0032] The energy storage system power balance scheduling method of the present invention is applicable to an energy storage system with energy storage cabins of different rated capacities. By first allocating the power to be scheduled for this type of energy storage cabin according to the type (rated capacity) of the energy storage cabin, and then scheduling the power of each energy storage cabin in this type of energy storage cabin according to the remaining power SOC of each energy storage cabin, it ensures accurate power response of the energy storage power station and the service life of the energy storage cabins in the whole station tends to be consistent. Description of the Drawings

[0033] The drawings here are incorporated into the specification and constitute a part of this specification, showing the embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application. By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes, and advantages of the present invention will become more obvious. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0034] Figure 1 It is a flowchart of the energy storage system power balance scheduling method according to an embodiment of the present invention;

[0035] Figure 2Schematic diagram of modules of the power balancing and scheduling system of the energy storage system according to an embodiment of the present invention;

[0036] Figure 3 Schematic diagram of the structure of the power balancing and scheduling device of the energy storage system according to an embodiment of the present invention; and

[0037] Figure 4 Schematic diagram of the structure of the computer-readable storage medium according to an embodiment of the present invention. Detailed implementation manners

[0038] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art. The features, structures, or characteristics described may be combined in any suitable manner in one or more embodiments.

[0039] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0040] Figure 1 Flowchart of the power balancing and scheduling method of the energy storage system according to an embodiment of the present invention. Specifically, the power balancing and scheduling method of the energy storage system includes the following steps:

[0041] S100: Receive a scheduling instruction, where the scheduling instruction includes the total power P to be scheduled. Here, the scheduling instruction can be a charging instruction for the target energy storage power station or a discharging instruction for the target energy storage power station. When the total power P to be scheduled is positive, it is charging the target energy storage power station, and when the total power P to be scheduled is negative, it is discharging the target energy storage power station.

[0042] S200: Obtain the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station. The status information includes the rated capacity of the i-th type of energy storage cabin and the number n of energy storage cabins in the i-th type of energy storage cabin i , the remaining power SOC of the j-th energy storage cabin of the i-th type of energy storage cabin ij , where m and n i are integers respectively, i ∈ [1, m], and j ∈ [1, n i]; The m types of energy storage compartments in the target energy storage power station are classified according to the rated capacity of the energy storage compartments. For example, the target energy storage power station may include two types of energy storage compartments, the rated capacity of the first type of energy storage compartment is A, the rated capacity of the second type of energy storage compartment is A, the first type of energy storage compartment has n1 energy storage compartments with a rated capacity of A, and the second type of energy storage compartment has n2 energy storage compartments with a rated capacity of B. Here, the number m of types of energy storage compartments included in the target energy storage power station and the number n of energy storage compartments included in each type of energy storage compartment are not limited. i , the charging rate or discharging rate of each energy storage compartment of each type of energy storage compartment is the same.

[0043] S300: Obtain the total allocated power P of the i-th energy storage compartment according to the rated capacity of the i-th energy storage compartment of the target energy storage power station i ; The step S300 may further include:

[0044] S310: Obtain the total rated capacity C of the target energy storage power station and the total rated capacity C of the i-th energy storage compartment according to the state information i , the average remaining power SOC of each energy storage compartment of the target energy storage power station aver And the average remaining power SOC of the energy storage compartment of the i-th type of energy storage compartment i The total rated capacity C of the target energy storage power station is the sum of the rated capacities of all energy storage compartments of the target energy storage power station. The total rated capacity C of the i-th energy storage compartment is i is the sum of the rated capacities of all energy storage compartments of this type. At this time, the average remaining capacity of each energy storage compartment of the target energy storage power station can be SOC aver It can be the average remaining power SOC of various energy storage compartments. i In some other embodiments, the average remaining power of each energy storage compartment of the target energy storage power station may be the geometric mean of all energy storage compartments.

[0045] S320: Obtain the total allocated power P of the i-th energy storage compartment according to a preset allocation algorithm i .

[0046] The step S320 obtains the total allocated power P of the i-th energy storage compartment according to the preset allocation algorithm. i In the step, the total allocated power P i is a linear function of the total dispatched power P, where the slope of the linear function is the total rated capacity C of the i-th energy storage tank i The constant term is the average remaining power SOC of each energy storage compartment in the total rated capacity C of the target energy storage power station. aver The average remaining power SOC of the energy storage compartment of the i-th type energy storage compartment i The difference between the corrected value and the total allocated power P iIt can be expressed by the following formula:

[0047] P i = P * C i / C + (SOC aver - SOC i ) * K i1 , K i1 is the correction value of the difference between the average remaining power SOC of each energy storage cabin aver and the average remaining power SOC of the i-th type of energy storage cabin i of the energy storage cabin, and it is a constant. The value of K i1 can be determined according to the structure of the target energy storage power station, such as the type and quantity of the included energy storage cabins, etc. A larger K i1 will result in a larger difference in the total distribution power of various energy storage cabins, but the remaining power will reach consistency faster.

[0048] S400: Obtain the distribution power P i of the j-th energy storage cabin of the i-th type of energy storage cabin according to the total distribution power P ij of the i-th type of energy storage cabin and the remaining power SOC ij of the j-th energy storage cabin of the i-th type of energy storage cabin. In the step S400, the distribution power P ij of the j-th energy storage cabin of the i-th type of energy storage cabin is the sum of the value after evenly distributing the total distribution power P i of the i-th type of energy storage cabin and the correction value of the difference between the average remaining power SOC i of the i-th type of energy storage cabin and the remaining power SOC ij of the j-th energy storage cabin of the i-th type of energy storage cabin. Further, the obtained distribution power P ij of the j-th energy storage cabin of the i-th type of energy storage cabin can be expressed by the following formula:

[0049] P ij = P i / n i + (SOC i - SOC ij ) * K i2 , K i2 is the correction value of the difference between the average remaining power SOC i of the i-th type of energy storage cabin and the remaining power SOC ij of the j-th energy storage cabin of the i-th type of energy storage cabin, and it is a constant. Similarly, the value of K2 can be determined according to the structure of the target energy storage power station, such as the type and quantity of the included energy storage cabins, etc. A larger K i2 will result in a larger difference in the distribution power of each energy storage cabin, but the remaining power will reach consistency faster.

[0050] In some other embodiments, the energy storage system scheduling method may further include the following steps:

[0051] S500: Charge or discharge each energy storage module of the target energy storage power station according to the allocated power Pi,j of the j-th energy storage module of the i-th type of energy storage module obtained. ij Charge or discharge each energy storage module of the target energy storage power station.

[0052] An embodiment of the present invention also provides an energy storage system power balancing scheduling system for implementing the steps of the energy storage system power balancing scheduling method. Figure 2 FIG. is a schematic diagram of the modules of the energy storage system power balancing scheduling system according to an embodiment of the present invention. Specifically, the power balancing scheduling system includes an interaction module M100, a data acquisition module M200, and a calculation module M300, where:

[0053] The interaction module M100 is configured to receive a scheduling instruction, and the scheduling instruction includes the total power P to be scheduled.

[0054] The data acquisition module M200 is configured to obtain the power of the target energy storage power station and the status information of m types of energy storage modules in the target energy storage power station. The status information includes the rated capacity of the i-th type of energy storage module and the number n of energy storage modules in the i-th type of energy storage module. i , the remaining power SOC of the j-th energy storage module of the i-th type of energy storage module. ij , where m and n i are integers respectively, i ∈ [1, m], and j ∈ [1, n i ;

[0055] The calculation module M300 is configured to obtain the total allocated power Pi of the i-th type of energy storage module according to the rated capacity of the i-th type of energy storage module of the target energy storage power station. i ; and

[0056] is configured to obtain the allocated power Pi,j of the j-th energy storage module of the i-th type of energy storage module according to the total allocated power Pi of the i-th type of energy storage module and the remaining power SOC of the j-th energy storage module of the i-th type of energy storage module. i and the remaining power SOC of the j-th energy storage module of the i-th type of energy storage module. ij Obtain the allocated power Pi,j of the j-th energy storage module of the i-th type of energy storage module. ij .

[0057] The power balancing scheduling system further includes an execution module M400; the execution module M400 is configured to charge or discharge each energy storage module of the target energy storage power station according to the allocated power Pi,j of the j-th energy storage module of the i-th type of energy storage module obtained. ij Charge or discharge each energy storage module of the target energy storage power station.

[0058] The functional implementation of each functional module in the energy storage system power balancing and scheduling system of the embodiment can be implemented by the specific implementation manners of the steps in the above-mentioned energy storage system power balancing and scheduling method. For example, the interaction module M100, the data acquisition module M200, the calculation module M300, and the judgment and execution module M400 can implement their functions by the specific implementation manners of the above steps S100 to S500 respectively, which will not be elaborated here.

[0059] Next, refer to Figure 3 to describe the electronic device 600 according to this embodiment of the present invention. Figure 3 The shown electronic device 600 is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0060] As Figure 3 shown, the electronic device 600 is presented in the form of a general-purpose computing device. The components of the electronic device 600 may include but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0061] Among them, the storage unit stores program codes, and the program codes can be executed by the processing unit 610, so that the processing unit 610 executes the steps according to various exemplary embodiments of the present invention described in the above method part of this specification. For example, the processing unit 610 can execute the steps as Figure 1 shown in

[0062] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 6201 and / or a cache storage unit 6202, and may further include a read-only storage unit (ROM) 6203.

[0063] The storage unit 620 may further include a program / utilities 6204 having a set (at least one) of program modules 6205. Such program modules 6205 include but are not limited to: an operating system, one or more application programs, other program modules, and program data. The implementation of a network environment may be included in each or some combination of these examples.

[0064] The bus 630 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any bus structure in a variety of bus structures.

[0065] The electronic device 600 can also communicate with one or more external devices 700 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication can be carried out through the input / output (I / O) interface 650. Moreover, the electronic device 600 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 660. The network adapter 660 can communicate with other modules of the electronic device 600 through the bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0066] An embodiment of the present invention also provides a computer-readable storage medium for storing a program, and when the program is executed, it implements the steps of the power balance scheduling method for the energy storage system. In some possible implementation manners, various aspects of the present invention can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present invention described in the above method part of this specification.

[0067] Reference Figure 4 As shown, a program product 800 for implementing the above method according to an embodiment of the present invention is described. It can be a portable compact disc read-only memory (CD-ROM) and includes program code, and can run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited to this. In this document, the readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device.

[0068] The program product can adopt any combination of one or more readable media. The readable media can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0069] A computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, in which readable program code is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable storage medium may also be any readable medium other than a readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0070] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., by using an Internet service provider to connect through the Internet).

[0071] In summary, the present invention provides a method, system, device, and storage medium for power balance scheduling of an energy storage system. The method for power balance scheduling of the energy storage system includes the following steps: receiving a scheduling instruction, where the scheduling instruction includes the total power to be scheduled; obtaining the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station, where the status information includes the rated capacity of the i-th type of energy storage cabin and the number n of energy storage cabins in the i-th type of energy storage cabin, and the remaining power of the j-th energy storage cabin in the i-th type of energy storage cabin; obtaining the total allocated power of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station; and obtaining the allocated power of the j-th energy storage cabin in the i-th type of energy storage cabin according to the total allocated power of the i-th type of energy storage cabin and the remaining power of the j-th energy storage cabin in the i-th type of energy storage cabin. The method for power balance scheduling of the energy storage system of the present invention is applicable to an energy storage system with energy storage cabins of different rated capacities. By first allocating the power to be scheduled for each type of energy storage cabin according to the type (rated capacity) of the energy storage cabin, and then scheduling the power of each energy storage cabin according to the remaining power SOC of each energy storage cabin in that type of energy storage cabin, it ensures accurate power response of the energy storage power station and consistent lifetimes of the energy storage cabins throughout the station.

[0072] The above content is a further detailed description of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific implementation of the present invention is only limited to these descriptions. For those skilled in the art, it is obvious that this application is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of this application, this application can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of this application is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be encompassed in this application. Any reference signs in the claims should not be construed as limiting the claimed rights. In addition, it is obvious that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or devices stated in the apparatus claims can also be implemented by one unit or device through software or hardware. The terms such as "first" and "second" are used to denote names and do not denote any particular order.

Claims

1. A power balancing scheduling method for an energy storage system, characterized in that, It includes the following steps: Receiving a scheduling instruction, where the scheduling instruction includes the total power P to be scheduled; Obtain the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station, where the status information includes the rated capacity of the i-th type of energy storage cabin and the number n of energy storage cabins in the i-th type of energy storage cabin i , the remaining power SOC of the j-th energy storage cabin in the i-th type of energy storage cabin ij , where m and n i are integers respectively, i ∈ [1, m], and j ∈ [1, n i ; Obtain the total allocated power P of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station i ; According to the total allocated power P of the i-th type of energy storage cabin i and the remaining power SOC of the j-th energy storage cabin in the i-th type of energy storage cabin ij obtain the allocated power P of the j-th energy storage cabin in the i-th type of energy storage cabin ij ; Obtaining the total allocated power Pi of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin in the target energy storage power station i The steps include: Obtain the total rated capacity C of the target energy storage power station and the total rated capacity C of the i-th type of energy storage cabin according to the state information i , the average remaining power SOC of each energy storage cabin of the target energy storage power station aver and the average remaining power SOC of the energy storage cabin of the i-th type of energy storage cabin i ; Obtain the total allocated power \(P\) of the \(i\)-th type of energy storage cabin according to the preset allocation algorithm i ; The total allocated power P of the i-th type of energy storage cabin is obtained according to a preset allocation algorithm i In the step, the total allocated power P i is a linear function of the total power P of the dispatch, where the slope of the linear function is the total rated capacity C of the i-th type of energy storage cabin i as a proportion of the total rated capacity C of the target energy storage power station, and the constant term is the average remaining power SOC of each energy storage cabin aver and the average remaining power SOC of the i-th type of energy storage cabin i is the correction value of the difference 2. The power balance scheduling method of the energy storage system according to claim 1, characterized in that According to the total allocated power of the i-th type of energy storage module, the remaining power of the j-th energy storage module, and the average remaining state of charge (SOC) of the i-th type of energy storage module i to obtain the allocated power P of the j-th energy storage module of the i-th type of energy storage module ij in the step, the allocated power P of the j-th energy storage module of the i-th type of energy storage module ij is the sum of the corrected values of the difference between the value after evenly distributing the total allocated power P of the i-th type of energy storage module i and the average remaining state of charge (SOC) of the i-th type of energy storage module i and the difference between the average remaining state of charge (SOC) of the i-th type of energy storage module ij and the remaining power of the j-th energy storage module of the i-th type of energy storage module 3. The power balance scheduling method for the energy storage system according to claim 1, characterized in that The scheduling method further includes: According to the allocated power Pi of the j-th energy storage module of the i-th type of energy storage module obtained ij Charge or discharge each energy storage module of the target energy storage power station.

4. The power balance scheduling method for the energy storage system according to claim 1, characterized in that The m types of energy storage cabins in the target energy storage power station are classified by the rated capacity of the energy storage cabin; and / or The charging rate or discharging rate of each energy storage cabin of each type of energy storage cabin is the same.

5. A power balance scheduling system for an energy storage system, which is used to implement the steps of the power balance scheduling method for the energy storage system described in claim 1, characterized in that, The power balance scheduling system includes an interaction module, a data acquisition module, and a calculation module, where: The interaction module is used to receive a scheduling instruction, where the scheduling instruction includes the total power P to be scheduled; The data acquisition module is used to obtain the power of the target energy storage power station and the status information of m types of energy storage cabins in the target energy storage power station. The status information includes the rated capacity of the i-th type of energy storage cabin and the number n of energy storage cabins in the i-th type of energy storage cabin i , the remaining power SOC of the j-th energy storage cabin in the i-th type of energy storage cabin ij , where m and n i are integers respectively, i ∈ [1, m], and j ∈ [1, n i ; The calculation module is used to obtain the total allocated power P of the i-th type of energy storage cabin according to the rated capacity of the i-th type of energy storage cabin of the target energy storage power station i ; and For obtaining the allocated power Pi,j of the j-th energy storage module of the i-th type of energy storage module according to the total allocated power Pi of the i-th type of energy storage module i and the remaining power SOCi,j of the j-th energy storage module of the i-th type of energy storage module ij 。 ij ​ 6. The power balance scheduling system of the energy storage system according to claim 5, wherein The power balance scheduling system further includes an execution module; The execution module is used to charge or discharge each energy storage cabin of the target energy storage power station according to the allocated power Pi of the j-th energy storage cabin of the i-th type of energy storage cabin obtained. ij ​ 7. A power balance scheduling device for an energy storage system, characterized in that It includes: A processor; A memory, which stores executable instructions of the processor; Wherein, the processor is configured to execute the steps of the power balance scheduling method of the energy storage system according to any one of claims 1 to 4 by executing the executable instructions.

8. A computer-readable storage medium for storing a program, characterized in that, When the program is executed by the processor, it realizes the steps of the power balance scheduling method of the energy storage system according to any one of claims 1 to 4.

Citation Information

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