Control method and device of energy storage system and computer readable storage medium

Abstract

The invention discloses a control method and device of an energy storage system and a computer readable storage medium, and relates to the technical field of electric power. The method comprises the steps that the target total charging and discharging power of the energy storage system is acquired, and the target total charging and discharging power comprises the target total charging power and the target total discharging power; a battery cluster parameter set of the energy storage system is obtained, and the battery cluster parameter set comprises at least one of a battery cluster remaining capacity set and a battery cluster charging and discharging rate set; and a target control strategy set is generated based on the target total charging and discharging power and the battery cluster parameter set, and the target control strategy set is used for adjusting the charging power and the discharging power of each battery cluster of the energy storage system to the target charging power and the target discharging power. The technical problem that the operation efficiency of the energy storage system is low due to the fact that independent charging and discharging cannot be achieved among all clusters of batteries is solved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a control method and device for an energy storage system, and a computer-readable storage medium. Background Art

[0002] Lithium-ion battery energy storage systems are expected to become the mainstream energy storage technology of the future due to their high charging and discharging efficiency, fast response time, short construction period, and high output flexibility. Lithium-ion battery energy storage systems use lithium-ion batteries as a carrier for energy release and storage. Lithium titanate battery energy storage systems, primarily based on these systems, offer high safety, high stability, long life, and are environmentally friendly. Their high-rate charge and discharge performance holds broad application prospects in the energy storage field. However, in actual applications, multiple battery clusters cannot be charged and discharged independently during the charging and discharging process. Due to uneven power distribution during operation, the battery may not be fully charged or fully discharged at the beginning or end of the charge and discharge process, reducing the efficiency of the energy storage system.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] Embodiments of the present invention provide a control method, device, and computer-readable storage medium for an energy storage system, to at least solve the technical problem of low operating efficiency of the energy storage system caused by the inability to independently charge and discharge batteries in each cluster.

[0005] According to one aspect of an embodiment of the present invention, a method for controlling an energy storage system is provided, comprising: obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charge power and a target total discharge power; obtaining a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set; and generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charge power and discharge power of each battery cluster of the energy storage system to the target charge power and target discharge power.

[0006] Optionally, based on the target total charge and discharge power and the battery cluster parameter set, a target control strategy set is generated, including: determining the first target charging power and the first target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster remaining power set; based on the first target charging power and the first target discharging power of each battery cluster, generating the first target control strategy in the target control strategy set, the first target control strategy being used to adjust the charging power and the discharging power of each battery cluster to the first target charging power and the first target discharging power.

[0007] Optionally, based on the target total charge and discharge power and the battery cluster remaining power set, the first target charging power and the first target discharging power of each battery cluster are determined, including: based on the battery cluster remaining power set, determining the remaining power ratio of each battery cluster, wherein the remaining power ratio of each battery cluster is the ratio of the remaining power of each battery cluster to the sum of the remaining power of each battery cluster; based on the remaining power ratio of each battery cluster and the target total charge and discharge power, determining the first target charging power and the first target discharging power of each battery cluster.

[0008] Optionally, based on the target total charge and discharge power and the battery cluster parameter set, a target control strategy set is generated, including: determining the second target charging power and the second target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster charge and discharge rate set; generating a second target control strategy in the target control strategy set based on the second target charging power and the second target discharging power of each battery cluster, the second target control strategy being used to adjust the charging power and the discharging power of each battery cluster to the second target charging power and the second target discharging power.

[0009] Optionally, based on the target total charge and discharge power and the battery cluster charge and discharge rate set, determining the second target charging power and the second target discharging power of each battery cluster, including: determining the charging rate ratio and the discharge rate ratio of each battery cluster based on the battery cluster charge and discharge rate set, wherein the charging rate ratio of each battery cluster is the ratio of the charging rate of each battery cluster to the sum of the charging rates of each battery cluster, and the discharge rate ratio of each battery cluster is the ratio of the discharge rate of each battery cluster to the sum of the discharge rates of each battery cluster; determining the second target charging power and the second target discharging power of each battery cluster based on the charging rate ratio, discharge rate ratio and the target total charge and discharge power of each battery cluster.

[0010] Optionally, after generating the target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, the method further includes: obtaining the current charging power and discharging power of each battery cluster; determining the current total charge and discharge power of the energy storage system based on the current charging power and discharge power of each battery cluster, wherein the total charge and discharge power includes the total charging power and the total discharging power; determining the corrected charge and discharge power of each battery cluster based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power, wherein the corrected charge and discharge power includes the corrected charging power and the corrected discharging power; and adjusting the charging power and discharging power of each battery cluster of the energy storage system to the corrected charging power and the corrected discharging power.

[0011] Optionally, based on the current total charge and discharge power and the target total charge and discharge power of the energy storage system, the corrected charge and discharge power of each battery cluster is determined, including: determining the deviation total charging power based on the current total charging power and the target total charging power of the energy storage system; determining the deviation total discharge power based on the current total discharge power and the target total discharge power of the energy storage system; determining the compensation charging power of each battery cluster based on the deviation total charging power; determining the compensation discharge power of each battery cluster based on the deviation total discharge power; determining the corrected charging power of each battery cluster based on the target charging power and the compensation charging power of each battery cluster; and determining the corrected charge and discharge power of each battery cluster based on the target discharge power and the compensation discharge power of each battery cluster.

[0012] According to another aspect of an embodiment of the present invention, a control device for an energy storage system is further provided, comprising: a first acquisition module for acquiring a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power; a second acquisition module for acquiring a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set; and a generation module for generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameters, wherein the target control strategy is used to adjust the charging power and discharging power of each battery cluster of the energy storage system to the target charging power and target discharging power.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0015] In an embodiment of the present invention, a target control strategy set is generated using the target total charge and discharge power of the energy storage system and the battery cluster parameters. By controlling each battery cluster of the energy storage system to adjust to the target charge and discharge power, the technical effect of enabling each battery cluster to discharge independently is achieved, thereby avoiding uneven power distribution caused by incomplete charging and discharging of each battery cluster, and further solving the technical problem of low operating efficiency of the energy storage system caused by the inability to achieve independent charging and discharging between battery clusters. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flow chart of an optional method for controlling an energy storage system according to an embodiment of the present invention;

[0018] Figure 2 is a flow chart of an optional method for controlling an energy storage system according to an embodiment of the present invention;

[0019] Figure 3 is a flow chart of an optional method for controlling an energy storage system according to an embodiment of the present invention;

[0020] Figure 4 4 is a structural block diagram of an optional control device for an energy storage system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, an embodiment of a control method for an energy storage system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] The method embodiment can be executed in an electronic device or a similar computing device including a memory and a processor. Taking running on an electronic device as an example, the electronic device may include one or more processors (the processor may include but is not limited to a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a programmable logic device (Field Programmable Gate Array, FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, etc.) and a memory for storing data. Optionally, the above-mentioned electronic device may also include a transmission device, an input and output device, and a display device for communication functions. It will be understood by those skilled in the art that the above-mentioned structural description is only illustrative and does not limit the structure of the above-mentioned electronic device. For example, the electronic device may also include more or fewer components than the above-mentioned structural description, or have a configuration different from the above-mentioned structural description.

[0025] The memory can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the control method of the energy storage system in the embodiment of the present invention. The processor executes the computer program stored in the memory to perform various functional applications and data processing, that is, to implement the control method of the energy storage system described above. The memory may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely located relative to the processor, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device is used to receive or send data via a network. Specific examples of the aforementioned network may include a wireless network provided by the mobile terminal's communications provider. In one embodiment, the transmission device includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one embodiment, the transmission device may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display device can be, for example, a touch-screen liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display can enable the user to interact with the user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), and the user can interact with the GUI by finger contacts and / or gestures on the touch-sensitive surface. The human-computer interaction functions here optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. The executable instructions for performing the above-mentioned human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0028] Figure 1 is a method according to an embodiment of the present invention, such as Figure 1 As shown, the method includes the following steps:

[0029] Step S102 : obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power.

[0030] In step S102, the target total charge / discharge power is first received from the grid dispatcher or internal demand. This can be charging power or discharging power, depending on the system's current operating mode and grid demand. Setting the target total power takes into account the overall energy balance of the energy storage system and forms the basis for the system's response to external energy demands.

[0031] Step S104 : obtaining a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set.

[0032] In step S104, key parameters of each battery cluster in the energy storage system need to be collected. These parameters include but are not limited to:

[0033] Battery cluster remaining capacity set: that is, the state of charge (SOC) of each battery cluster, which is used to understand how much power each battery cluster can currently store or release.

[0034] Battery cluster charge and discharge rate set: the rate at which the battery cluster can accept or release power. This is related to the battery type, temperature, health status, etc., and reflects the dynamic changes in the battery cluster's charge and discharge capabilities.

[0035] Step S106 : generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charge power and discharge power of each battery cluster of the energy storage system to the target charge power and target discharge power.

[0036] In step S106, a preset algorithm calculates the optimal power allocation for each battery cluster based on the target total charge and discharge power and the parameters of each battery cluster. This algorithm considers the SOC differences between battery clusters, the dynamic changes in charge and discharge rates, and the real-time balance of total system power. This ensures that each battery cluster achieves the most efficient charge and discharge power output, even in the complex situation of multiple clusters operating in parallel, according to its own state and system requirements.

[0037] Based on steps S102 to S106, the charging and discharging power can be automatically adjusted according to the status of each battery cluster, avoiding ineffective or excessive charging and discharging caused by uneven power distribution in traditional control, thereby improving the overall energy utilization of the energy storage system. Through independent and intelligent power distribution, the battery cluster avoids unnecessary stress during the charging and discharging process. Especially in extreme cases where the SOC is low or high, the control strategy can effectively reduce the deep charge and discharge of the battery, thereby extending the service life of the battery. The independent control of multiple clusters enables the system to better cope with the performance differences between battery clusters. Even if the performance of some cluster batteries declines, the remaining cluster batteries can still maintain stable operation of the system by adjusting the power output. By implementing the control strategy of the present invention, the energy storage system can not only achieve efficient energy storage and release, but also significantly improve the safety and reliability of the system.

[0038] As an optional implementation, based on the target total charge and discharge power and the battery cluster parameter set, a target control strategy set is generated, including:

[0039] Step S201 : determining a first target charging power and a first target discharging power of each battery cluster based on the target total charging and discharging power and the remaining power of the battery cluster.

[0040] In step S201, the first target charging power or first target discharging power to be allocated to each battery cluster is calculated based on the energy storage system's requirements (i.e., the target total charging and discharging power) and the current SOC of each battery cluster. This calculation process follows the following principles:

[0041] Ensure total power matches target: The control algorithm decomposes the target total charge and discharge power into the power requirements of each battery cluster, ensuring that the total power of all clusters equals the target total power.

[0042] Consider SOC differences: Based on the SOC differences of each battery cluster, power is allocated reasonably to avoid overcharging of low-SOC clusters or over-discharging of high-SOC clusters, thereby reducing imbalance between battery clusters.

[0043] Power averaging: In the initial state, when the SOC of all battery clusters is similar, an average distribution strategy can be adopted, that is, the power distribution of each cluster is roughly equal. As the charging and discharging process progresses, it is dynamically adjusted according to the charging and discharging status of each cluster.

[0044] In step S202 , a first target control strategy in a target control strategy set is generated based on a first target charging power and a first target discharging power of each battery cluster. The first target control strategy is used to adjust the charging power and the discharging power of each battery cluster to the first target charging power and the first target discharging power.

[0045] In step S202, the first target control strategy is executed to specifically guide the charge and discharge modules of each battery cluster to perform power regulation to ensure that the actual charge and discharge power of each cluster can quickly and accurately reach the calculated first target charge power or first target discharge power. The control strategies to achieve this goal include but are not limited to:

[0046] PID control: By adjusting the three parameters of proportional, integral, and derivative, the charging and discharging power of the cluster battery can quickly approach the target power.

[0047] Adaptive control: Dynamically adjusts control parameters based on the actual operating status and environmental conditions of the battery cluster to adapt to changing charging and discharging needs.

[0048] Multi-objective optimization algorithm: While ensuring power matching, it optimizes power distribution among battery clusters to achieve multiple goals such as extending battery life and improving system reliability.

[0049] Based on steps S201 to S202, the system can accurately respond to system requirements and intelligently adjust the charge and discharge power of each battery cluster, effectively improving the overall operating efficiency of the energy storage system and the battery life, while ensuring system safety and reliability. This control strategy is particularly suitable for lithium-ion battery energy storage systems, including those based on lithium titanate batteries. In practical applications, it can significantly improve the performance and economic benefits of energy storage systems.

[0050] Optionally, determining a first target charging power and a first target discharging power of each battery cluster based on the target total charging and discharging power and the remaining power set of the battery cluster includes:

[0051] Step S203 : determining the remaining power ratio of each battery cluster based on the battery cluster remaining power set, wherein the remaining power ratio of each battery cluster is the ratio of the remaining power of each battery cluster to the sum of the remaining power of each battery cluster.

[0052] In step S203, the remaining power of all battery clusters is first summarized, and the ratio of the remaining power of each battery cluster to its total is calculated, that is, the remaining power ratio. The remaining power ratio reflects the energy storage status of each battery cluster in the overall energy storage system and is an important basis for power allocation. For example, if there are three battery clusters in the system with remaining power of 20kWh, 30kWh and 50kWh respectively, then their remaining power ratios are 20%, 30% and 50% respectively. By calculating the remaining power ratio, the system can intuitively understand the contribution of each battery cluster to the overall energy storage, providing data support for subsequent power allocation.

[0053] Step S204 : determining a first target charging power and a first target discharging power of each battery cluster based on the remaining power ratio of each battery cluster and the target total charging and discharging power.

[0054] In step S204, based on the remaining power ratio of each battery cluster and the target total charge and discharge power, the first target charging power or the first target discharge power of each battery cluster is calculated. The algorithm design of this step is to achieve intelligent power allocation and ensure that each battery cluster responds to the total power target as efficiently as possible within its capabilities. Specifically, the system will allocate the target total charge and discharge power in proportion to the remaining power ratio of each battery cluster. For example, if the target total charging power is 100kW, and the remaining power ratios of the above three battery clusters are 20%, 30% and 50% respectively, then their first target charging powers should be 20kW, 30kW and 50kW respectively. In this way, not only the remaining capacity of each battery cluster is fully utilized, but also the overall power is balanced, overcharging or over-discharging of a single battery cluster is avoided, and battery health is protected.

[0055] Based on steps S203 to S204, by implementing a power allocation strategy based on the remaining charge state of the battery cluster, the energy storage system can not only accurately track the target total charge and discharge power, but also avoid energy waste caused by uneven power distribution. It can fully utilize the storage capacity of each battery cluster, improve the efficiency and life of the battery cluster, and enhance the system's stability, responsiveness, and operation and maintenance management level. It is a key technical means to achieve efficient and safe operation of the energy storage system.

[0056] In another optional embodiment of the present invention, the control strategy further considers the charge and discharge rate of the battery cluster, which is one of the important indicators of the physical characteristics of the battery cluster and directly affects the power output capacity and charge and discharge efficiency of the battery cluster.

[0057] Optionally, based on the target total charge and discharge power and the battery cluster parameter set, a target control strategy set is generated, including:

[0058] Step S211 : determining a second target charging power and a second target discharging power of each battery cluster based on the target total charging and discharging power and the battery cluster charging and discharging rate set.

[0059] In step S211, the system first determines a second target charging power or second target discharging power for each battery cluster based on the current target total charging and discharging power (including the target total charging power and the target total discharging power) in combination with the charge and discharge rates of each battery cluster (including the charge power and discharge power of each battery cluster). The charge and discharge rate reflects the maximum power a battery cluster can receive or release within a certain period of time and is generally affected by factors such as battery type, temperature, and health status. By calculating the degree of match between the charge and discharge rates of each battery cluster and the target total power, the system can intelligently allocate power, prioritizing the use or charging of battery clusters with higher charge and discharge rates to achieve rapid response and efficient energy conversion.

[0060] For example, if the target total charging power of the energy storage system is 100kW, and the charge and discharge rates of the four battery clusters are: Cluster A is 1C, Cluster B is 2C, Cluster C is 0.5C, and Cluster D is 1.5C. The system will dynamically adjust the power allocation of each cluster based on the cluster's charge and discharge rate, so that Clusters B and Cluster D (with higher charge and discharge rates) are charged first to quickly reach the target total power, while Clusters A and Cluster C (with lower charge and discharge rates) are allocated less power to ensure that all battery clusters charge and discharge within a safe range.

[0061] Step S212 : Based on the second target charging power and the second target discharging power of each battery cluster, a second target control strategy in the target control strategy set is generated, wherein the second target control strategy is used to adjust the charging power and the discharging power of each battery cluster to the second target charging power and the second target discharging power.

[0062] In step S212, after determining the second target charging power and second target discharging power of each battery cluster, the system then generates a second target control strategy to guide the specific power regulation of the battery cluster. The control strategy in this step may include the following types:

[0063] PID control: By adjusting the proportional, integral, and differential parameters, the charging and discharging power of the battery cluster can quickly and accurately reach the target power.

[0064] Adaptive control: Dynamically adjusts control parameters based on the actual operating status of the battery cluster (such as temperature and health status) and changes in the external environment to adapt to changing charging and discharging needs.

[0065] Linear programming algorithm: Converts the power allocation problem into a linear programming problem and uses mathematical optimization methods to find the optimal power allocation solution, ensuring that the overall efficiency and life of the battery cluster are maximized while meeting the power target.

[0066] By implementing the above-mentioned power allocation strategy based on charge and discharge rates, the energy storage system can not only respond quickly and accurately to external charge and discharge demands, but also intelligently adjust the operating status of each battery cluster, avoiding overcharging and over-discharging of the battery cluster, reducing internal circulation currents, extending battery life, and enhancing the safety, stability, and reliability of the system. It is a key technology for improving the operating efficiency and energy utilization efficiency of the energy storage system.

[0067] By implementing a second target control strategy based on charge and discharge rates through steps S211 to S212, the energy storage system can optimize the charge and discharge behavior of the battery cluster while meeting the total power target, improving energy conversion efficiency, protecting battery health, reducing internal system circulation effects, and enhancing overall system performance. This strategy is particularly effective for energy storage systems using lithium titanate batteries, leveraging their high-rate charge and discharge capabilities to improve the energy storage system's response speed and energy utilization efficiency.

[0068] Optionally, determining a second target charging power and a second target discharging power of each battery cluster based on the target total charging and discharging power and the battery cluster charging and discharging rate set includes:

[0069] Step S213: Based on the battery cluster charge and discharge rate set, determine the charge rate ratio and discharge rate ratio of each battery cluster, where the charge rate ratio of each battery cluster is the ratio of the charge rate of each battery cluster to the sum of the charge rates of each battery cluster, and the discharge rate ratio of each battery cluster is the ratio of the discharge rate of each battery cluster to the sum of the discharge rates of each battery cluster.

[0070] In step S213, the charge and discharge rates of each battery cluster are first calculated, and the charge and discharge rates of all battery clusters are summarized. The system then calculates the charge rate ratio and discharge rate ratio for each cluster, using the ratio of each cluster's charge rate or discharge rate to its total as the basis for power allocation. For example, if the system contains four battery clusters with charge rates of: Cluster A is 2C, Cluster B is 1C, Cluster C is 3C, and Cluster D is 4C, then their charge rate ratios are: A: 2 / (2+1+3+4) = 2 / 10, B: 1 / 10, C: 3 / 10, and D: 4 / 10. By calculating the charge rate ratio and discharge rate ratio, the system can quantify the contribution of each battery cluster to the charge and discharge rate, providing a basis for subsequent power allocation.

[0071] Step S214 : determining a second target charging power and a second target discharging power of each battery cluster based on the charging rate ratio, the discharging rate ratio, and the target total charging and discharging power of each battery cluster.

[0072] In step S214, based on the charge rate ratio and discharge rate ratio of each battery cluster, the system then distributes the target total charge and discharge power according to the rate ratio of each cluster, calculating the second target charge power and second target discharge power for each battery cluster. For example, in the above example, if the target total charge power is 100kW, the second target charge power of each cluster is: 20kW (2 / 10*100kW) for cluster A, 10kW for cluster B, 30kW for cluster C, and 40kW for cluster D. Similarly, if the target total discharge power is 100kW, the second target discharge power of each cluster will also be distributed according to its discharge rate ratio.

[0073] By implementing a target power allocation strategy based on the charge-discharge rate ratio in steps S213 and S214, the energy storage system achieves more refined and intelligent power management. This not only improves the system's operating efficiency and response speed, but also extends the battery cluster's service life, reduces energy loss, and enhances overall system performance. This strategy fully utilizes the battery's charge-discharge performance, providing strong technical support for building efficient, safe, and reliable energy storage systems.

[0074] Optionally, after generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, the method further includes:

[0075] Step S221 , obtaining the current charging power and discharging power of each battery cluster.

[0076] In step S221, the monitoring module collects actual operating data from each battery cluster, including current charging and discharging power. This data forms the basis for subsequent strategy adjustments. This information is crucial for understanding the system's internal operating status in real time and helps the system detect deviations in power distribution.

[0077] Step S222 : determining the current total charge and discharge power of the energy storage system based on the current charge and discharge power of each battery cluster, wherein the total charge and discharge power includes the total charge power and the total discharge power.

[0078] In step S222, after collecting the charge and discharge power data for all battery clusters, the system calculates the current total charge and discharge power, representing the actual power output or input of the energy storage system. This calculation result is compared with the target total charge and discharge power to assess the system's current power matching.

[0079] Step S223 : determining a corrected charge and discharge power of each battery cluster based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power, wherein the corrected charge and discharge power includes a corrected charge power and a corrected discharge power.

[0080] In step S223, the required charge and discharge power for each battery cluster is calculated based on the difference between the current total charge and discharge power and the target total charge and discharge power. This correction mechanism aims to compensate for the deviation between the total system power and the target by adjusting the power output of one or more battery clusters, thereby achieving dynamic system balance. The calculation of the corrected charge and discharge power may take into account factors such as the power adjustment capability, state of charge (SOC), and temperature of each battery cluster to ensure that the corrected power output is both safe and efficient.

[0081] Step S224 : adjusting the charging power and discharging power of each battery cluster of the energy storage system to the corrected charging power and the corrected discharging power.

[0082] In step S224, based on the calculated corrected charge and discharge power, the charge and discharge power of each battery cluster is directly adjusted by controlling the power execution module of each cluster to achieve the target total charge and discharge power. This process may involve fast-response power control technologies such as PID control and fuzzy logic control to ensure the accuracy and response speed of power adjustment.

[0083] Based on steps S221 to S224, a modified charge and discharge power strategy based on the target total charge and discharge power and battery cluster parameters is implemented. This not only ensures that the system operates in a state consistent with the target total charge and discharge power, but also improves the system's operating efficiency, energy conversion efficiency and overall performance by dynamically optimizing power distribution, thereby improving the intelligence level of the energy storage system.

[0084] Optionally, based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power, determining the corrected charge and discharge power of each battery cluster includes:

[0085] Step S231 : determining a deviation total charging power based on the current total charging power and the target total charging power of the energy storage system.

[0086] In step S231, the system monitoring module reads the current charging power of each battery cluster in real time and calculates the system's current total charging power. It then compares the current total charging power with the target total charging power and calculates the deviation between the two, known as the deviation total charging power. This deviation reflects the difference between the system's total charging power and the target and serves as the basis for subsequent power adjustments.

[0087] Step S232: Determine the deviation total discharge power based on the current total discharge power and the target total discharge power of the energy storage system.

[0088] Similarly, in step S232, the system monitoring module reads the current discharge power of each battery cluster and calculates the system's current total discharge power. The current total discharge power is compared with the target total discharge power, and the deviation between the two is calculated, known as the deviation total discharge power. This deviation also reflects the difference between the system's total discharge power and the target, and is another important parameter in the power correction mechanism.

[0089] Step S233 : determining the compensation charging power of each battery cluster based on the deviation total charging power.

[0090] In step S233, the required charging power increase or decrease for each battery cluster, i.e., the compensation charging power, is calculated based on the magnitude of the deviation in total charging power. The compensation charging power calculation may be based on various algorithms, such as PID control algorithms and fuzzy logic algorithms, to ensure that the power adjustment of each battery cluster can accurately and quickly respond to the deviation in total charging power to achieve the target total charging power.

[0091] Step S234 : determining the compensation discharge power of each battery cluster based on the deviation total discharge power.

[0092] Similarly, in step S234, the system calculates the required increase or decrease in discharge power for each battery cluster based on the total discharge power deviation, i.e., the compensation discharge power. This calculation also takes into account factors such as the battery cluster's SOC, temperature, and charge / discharge rate to ensure safe and efficient power adjustment.

[0093] In step S235 , the corrected charging power of each battery cluster is determined based on the target charging power and the compensation charging power of each battery cluster.

[0094] In step S235, after calculating the compensation charging power for each battery cluster, the system adds the compensation charging power to the target charging power for each battery cluster to obtain the corrected charging power for each battery cluster. This corrected power value guides the battery cluster control module to adjust the charging power of each cluster to eliminate the deviation in the total charging power and ensure that the total system charging power is consistent with the target.

[0095] In step S236 , based on the target discharge power and the compensation discharge power of each battery cluster, the corrected charge and discharge power of each battery cluster is determined.

[0096] In step S236, the system similarly adds the compensated discharge power to the target discharge power of each battery cluster to obtain the corrected discharge power of each battery cluster, which is used to guide the battery cluster control module to adjust the discharge power of each cluster, eliminate the deviation in the total discharge power, and ensure that the total discharge power of the system is consistent with the target.

[0097] Based on steps S231 to S236, by implementing a deviation-based power correction mechanism, the energy storage system can not only achieve precise control of the target total charge and discharge power, but also improve the system's operating efficiency, energy conversion efficiency, and overall performance by dynamically optimizing power distribution. This is an important technical means to promote the development of energy storage technology in a smarter, more efficient, and safer direction.

[0098] Figure 2 FIG. 1 is a flow chart of another method for controlling an energy storage system according to one embodiment of the present invention. Figure 2 As shown, the method includes the following steps:

[0099] Step S201 : determining a first target charging power and a first target discharging power of each battery cluster based on the target total charging and discharging power and the remaining power of the battery cluster.

[0100] In step S202 , a first target control strategy in a target control strategy set is generated based on a first target charging power and a first target discharging power of each battery cluster. The first target control strategy is used to adjust the charging power and the discharging power of each battery cluster to the first target charging power and the first target discharging power.

[0101] Step S203 : determining the remaining power ratio of each battery cluster based on the battery cluster remaining power set, wherein the remaining power ratio of each battery cluster is the ratio of the remaining power of each battery cluster to the sum of the remaining power of each battery cluster.

[0102] Step S204 : determining a first target charging power and a first target discharging power of each battery cluster based on the remaining power ratio of each battery cluster and the target total charging and discharging power.

[0103] Step S211 : determining a second target charging power and a second target discharging power of each battery cluster based on the target total charging and discharging power and the battery cluster charging and discharging rate set.

[0104] Step S212 : Based on the second target charging power and the second target discharging power of each battery cluster, a second target control strategy in the target control strategy set is generated, wherein the second target control strategy is used to adjust the charging power and the discharging power of each battery cluster to the second target charging power and the second target discharging power.

[0105] Step S213: Based on the battery cluster charge and discharge rate set, determine the charge rate ratio and discharge rate ratio of each battery cluster, where the charge rate ratio of each battery cluster is the ratio of the charge rate of each battery cluster to the sum of the charge rates of each battery cluster, and the discharge rate ratio of each battery cluster is the ratio of the discharge rate of each battery cluster to the sum of the discharge rates of each battery cluster.

[0106] Step S214 : determining a second target charging power and a second target discharging power of each battery cluster based on the charging rate ratio, the discharging rate ratio, and the target total charging and discharging power of each battery cluster.

[0107] Step S221 , obtaining the current charging power and discharging power of each battery cluster.

[0108] Step S222 : determining the current total charge and discharge power of the energy storage system based on the current charge and discharge power of each battery cluster, wherein the total charge and discharge power includes the total charge power and the total discharge power.

[0109] Step S223 : determining a corrected charge and discharge power of each battery cluster based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power, wherein the corrected charge and discharge power includes a corrected charge power and a corrected discharge power.

[0110] Step S224 : adjusting the charging power and discharging power of each battery cluster of the energy storage system to the corrected charging power and the corrected discharging power.

[0111] Step S231 : determining a deviation total charging power based on the current total charging power and the target total charging power of the energy storage system.

[0112] Step S232: Determine the deviation total discharge power based on the current total discharge power and the target total discharge power of the energy storage system.

[0113] Step S233 : determining the compensation charging power of each battery cluster based on the deviation total charging power.

[0114] Step S234 : determining the compensation discharge power of each battery cluster based on the deviation total discharge power.

[0115] In step S235 , the corrected charging power of each battery cluster is determined based on the target charging power and the compensation charging power of each battery cluster.

[0116] In step S236 , based on the target discharge power and the compensation discharge power of each battery cluster, the corrected charge and discharge power of each battery cluster is determined.

[0117] Based on steps S201 to S236 above, in this embodiment of the present invention, a preset algorithm is used to calculate the optimal power allocation value for each battery cluster. This algorithm considers the SOC differences between battery clusters, the dynamic changes in charge and discharge rates, and the real-time balance of the system's total power, thereby resolving the technical issue of low energy storage system efficiency caused by the inability to independently charge and discharge batteries in each cluster. In this way, even in the complex situation of multiple clusters operating in parallel, each battery cluster can achieve the most efficient charge and discharge power output based on its own status and system requirements.

[0118] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0119] Figure 3 FIG. 1 is a flow chart of another method for controlling an energy storage system according to one embodiment of the present invention. Figure 3 As shown, the method includes the following steps:

[0120] Step 1: After the system starts, obtain the charge / discharge instruction.

[0121] In step one, after the energy storage system is started, its primary task is to receive external charge / discharge instructions. These instructions may originate from the grid dispatch center, renewable energy generation systems, or user demand. These instructions typically include key information such as target charge / discharge power and duration, serving as guidance for system operation.

[0122] Step 2: Obtain the number X of battery clusters in the energy storage system, the battery SOC of each cluster, and the total charge / discharge power W required by the system.

[0123] In step 2, after receiving the charge / discharge command, the system collects status information for each internal battery cluster, including the total number of clusters (X), the SOC (State of Charge) of each cluster, and the total charge or discharge power (W) required by the system. The number of clusters (X) is a basic system configuration parameter; the SOC of each cluster reflects the system's current energy storage level; and the total charge / discharge power (W) is the power target specified in the charge / discharge command.

[0124] Step 3: Power is allocated based on the SOC value of each battery cluster at each operating time;

[0125] In step three, the remaining capacity of all battery clusters is first aggregated, and the ratio of each battery cluster's remaining capacity to the total is calculated, known as the remaining capacity ratio. This ratio reflects the energy storage status of each battery cluster within the overall energy storage system and is an important basis for power allocation. For example, if the system has three battery clusters with remaining capacities of 20kWh, 30kWh, and 50kWh, their remaining capacity ratios are 20%, 30%, and 50%, respectively. By calculating the remaining capacity ratio, the system can intuitively understand the contribution of each battery cluster to the overall energy storage, providing data support for subsequent power allocation.

[0126] Step 4: The power distribution value of each battery cluster is obtained from W1 to Wx according to the comprehensive calculation results, W1+…+Wx=W.

[0127] In step 4, the system calculates the power allocation values W1 to Wx for each battery cluster by comprehensively considering the SOC values and charge / discharge requirements of each battery cluster. For example, if the target total charging power is 100kW, and the remaining charge ratios of the three battery clusters are 20%, 30%, and 50%, respectively, then their first target charging powers should be 20kW, 30kW, and 50kW, respectively. This not only fully utilizes the remaining capacity of each battery cluster, but also maintains a balanced overall power distribution, avoiding overcharging or over-discharging of individual battery clusters and protecting battery health. These power values (W1 to Wx) are dynamic and adjust as the battery cluster SOC changes. Ultimately, the sum of the power allocation values for all battery clusters should equal the total charge / discharge power W required by the system: W1 + ... + Wx = W. This ensures that the total system power matches the target power specified in the charge / discharge instructions. Furthermore, by properly allocating power to each cluster, the energy flow within the system is optimized, improving energy conversion efficiency and overall system performance.

[0128] Based on steps one to four, the energy storage system can not only quickly respond to external charging / discharging demands, but also improve energy conversion efficiency, extend battery life, and enhance system stability through intelligent power management, providing strong technical support for building an efficient, intelligent, and reliable energy storage system.

[0129] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0130] In an embodiment of the present invention, a control device for an energy storage system is also provided. The device is used to implement the above-mentioned embodiments and preferred embodiments. Details that have already been described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0131] Figure 4 FIG. 1 is a structural block diagram of a control device for an energy storage system according to one embodiment of the present invention. Figure 4 As shown, the device includes:

[0132] A first acquisition module 301 is configured to acquire a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power;

[0133] A second acquisition module 302 is configured to acquire a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set;

[0134] The generation module 303 is used to generate a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set. The target control strategy set is used to adjust the charging power and discharging power of each battery cluster of the energy storage system to the target charging power and target discharging power.

[0135] Optionally, the generation module 303 is also used to generate a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, including: determining the first target charging power and the first target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster remaining power set; generating the first target control strategy in the target control strategy set based on the first target charging power and the first target discharging power of each battery cluster, the first target control strategy being used to adjust the charging power and the discharging power of each battery cluster to the first target charging power and the first target discharging power.

[0136] Optionally, the generation module 303 is also used to determine the first target charging power and the first target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster remaining power set, including: determining the remaining power ratio of each battery cluster based on the battery cluster remaining power set, wherein the remaining power ratio of each battery cluster is the ratio of the remaining power of each battery cluster to the sum of the remaining power of each battery cluster; determining the first target charging power and the first target discharging power of each battery cluster based on the remaining power ratio of each battery cluster and the target total charge and discharge power.

[0137] Optionally, the generation module 303 is also used to generate a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, including: determining the second target charging power and the second target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster charge and discharge rate set; generating a second target control strategy in the target control strategy set based on the second target charging power and the second target discharging power of each battery cluster, the second target control strategy being used to adjust the charging power and the discharging power of each battery cluster to the second target charging power and the second target discharging power.

[0138] Optionally, the generation module 303 is also used to determine the second target charging power and the second target discharging power of each battery cluster based on the target total charge and discharge power and the battery cluster charge and discharge rate set, including: determining the charging rate ratio and the discharge rate ratio of each battery cluster based on the battery cluster charge and discharge rate set, wherein the charging rate ratio of each battery cluster is the ratio of the charging rate of each battery cluster to the sum of the charging rates of each battery cluster, and the discharge rate ratio of each battery cluster is the ratio of the discharge rate of each battery cluster to the sum of the discharge rates of each battery cluster; determining the second target charging power and the second target discharging power of each battery cluster based on the charging rate ratio, discharge rate ratio and the target total charge and discharge power of each battery cluster.

[0139] Optionally, the first acquisition module 301 is further used to obtain the current charging power and discharging power of each battery cluster; the generation module 303 is further used to determine the current total charging and discharging power of the energy storage system based on the current charging power and discharging power of each battery cluster, wherein the total charging and discharging power includes the total charging power and the total discharging power; based on the current total charging and discharging power of the energy storage system and the target total charging and discharging power, determine the corrected charging and discharging power of each battery cluster, wherein the corrected charging and discharging power includes the corrected charging power and the corrected discharging power; the control device of the energy storage system also includes an adjustment module 304, which adjusts the charging power and discharging power of each battery cluster of the energy storage system to the corrected charging power and the corrected discharging power.

[0140] It should be noted that the above modules can be implemented through software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0141] According to one embodiment of the present invention, an electronic device is provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-mentioned energy storage system control method when running.

[0142] Optionally, in this embodiment, the processor may be configured to execute the following steps through a computer program:

[0143] Step S102 : obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power.

[0144] Step S104 : obtaining a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set.

[0145] Step S106 : generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charge power and discharge power of each battery cluster of the energy storage system to the target charge power and target discharge power.

[0146] According to one embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored executable program. When the executable program runs, the device where the storage medium is located is controlled to execute the above-mentioned energy storage system control method.

[0147] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0148] Step S102 : obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power.

[0149] Step S104 : obtaining a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set.

[0150] Step S106 : generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charge power and discharge power of each battery cluster of the energy storage system to the target charge power and target discharge power.

[0151] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0152] According to one embodiment of the present invention, a computer program product is further provided, including a computer program, which implements the above-mentioned energy storage system control method when executed by a processor.

[0153] Optionally, in this embodiment, the computer program product may be configured as a computer program for executing the following steps:

[0154] Step S102 : obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power.

[0155] Step S104 : obtaining a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set.

[0156] Step S106 : generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charge power and discharge power of each battery cluster of the energy storage system to the target charge power and target discharge power.

[0157] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0158] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0159] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0160] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0161] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0162] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A control method for an energy storage system, characterized in that: include: Obtaining a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power; Acquire a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set; Based on the target total charge and discharge power and the battery cluster parameter set, a target control strategy set is generated, wherein the target control strategy set is used to adjust the charging power and discharging power of each battery cluster of the energy storage system to the target charging power and the target discharging power.

2. The method according to claim 1, characterized in that Generating the target control strategy set based on the target total charge and discharge power and the battery cluster parameter set includes: determining a first target charging power and a first target discharging power of each battery cluster based on the target total charging and discharging power and the remaining power set of the battery clusters; Based on the first target charging power and the first target discharging power of each of the battery clusters, a first target control strategy in the target control strategy set is generated, wherein the first target control strategy is used to adjust the charging power and the discharging power of each of the battery clusters to the first target charging power and the first target discharging power.

3. The method according to claim 2, characterized in that Determining the first target charging power and the first target discharging power of each battery cluster based on the target total charging and discharging power and the remaining power set of the battery clusters includes: Determining a remaining power ratio of each battery cluster based on the battery cluster remaining power set, wherein the remaining power ratio of each battery cluster is a ratio of the remaining power of each battery cluster to the sum of the remaining power of each battery cluster; The first target charging power and the first target discharging power of each battery cluster are determined based on the remaining power ratio of each battery cluster and the target total charging and discharging power.

4. The method according to any one of claims 1 to 3, characterized in that Generating the target control strategy set based on the target total charge and discharge power and the battery cluster parameter set includes: determining a second target charging power and a second target discharging power of each battery cluster based on the target total charging and discharging power and the battery cluster charging and discharging rate set; Based on the second target charging power and the second target discharging power of each of the battery clusters, a second target control strategy in the target control strategy set is generated, wherein the second target control strategy is used to adjust the charging power and the discharging power of each of the battery clusters to the second target charging power and the second target discharging power.

5. The method according to claim 4, characterized in that Determining the second target charging power and the second target discharging power of each battery cluster based on the target total charging and discharging power and the battery cluster charging and discharging rate set includes: Determining a charge rate ratio and a discharge rate ratio of each battery cluster based on the battery cluster charge and discharge rate set, wherein the charge rate ratio of each battery cluster is a ratio of the charge rate of each battery cluster to the sum of the charge rates of each battery cluster, and the discharge rate ratio of each battery cluster is a ratio of the discharge rate of each battery cluster to the sum of the discharge rates of each battery cluster; The second target charging power and the second target discharging power of each battery cluster are determined based on the charging rate ratio, the discharging rate ratio, and the target total charging and discharging power of each battery cluster.

6. The method according to claim 1, characterized in that After generating a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, the method further includes: Obtaining the current charging power and discharging power of each battery cluster; Determining a current total charge and discharge power of the energy storage system based on the current charge power and discharge power of each battery cluster, wherein the total charge and discharge power includes a total charge power and a total discharge power; Determining a corrected charge and discharge power of each battery cluster based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power, wherein the corrected charge and discharge power includes a corrected charge power and a corrected discharge power; The charging power and the discharging power of each battery cluster of the energy storage system are adjusted to the corrected charging power and the corrected discharging power.

7. The method according to claim 6, characterized in that Determining the corrected charge and discharge power of each battery cluster based on the current total charge and discharge power of the energy storage system and the target total charge and discharge power includes: determining a deviation total charging power based on the current total charging power of the energy storage system and the target total charging power; Determining a deviation total discharge power based on the current total discharge power of the energy storage system and the target total discharge power; determining a compensation charging power for each of the battery clusters based on the deviated total charging power; determining a compensation discharge power of each of the battery clusters based on the deviation total discharge power; determining the corrected charging power of each of the battery clusters based on the target charging power and the compensation charging power of each of the battery clusters; The corrected charge and discharge power of each of the battery clusters is determined based on the target discharge power and the compensation discharge power of each of the battery clusters.

8. A control device for an energy storage system, characterized in that: include: A first acquisition module is configured to acquire a target total charge and discharge power of the energy storage system, wherein the target total charge and discharge power includes a target total charging power and a target total discharging power; A second acquisition module is configured to acquire a battery cluster parameter set of the energy storage system, wherein the battery cluster parameter set includes at least one of the following: a battery cluster remaining power set and a battery cluster charge and discharge rate set; A generation module is used to generate a target control strategy set based on the target total charge and discharge power and the battery cluster parameter set, wherein the target control strategy set is used to adjust the charging power and discharging power of each battery cluster of the energy storage system to the target charging power and target discharging power.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored executable program, wherein when the executable program is run, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that The method comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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