Optimal operation method, system, device and medium of reconfigurable battery energy storage system

Abstract

This invention discloses an optimized operation method, system, device, and medium for a reconfigurable battery energy storage system, relating to the field of electrochemical energy storage. The method first establishes an optimal operating performance function model for the reconfigurable battery energy storage system, and obtains the optimal performance parameters for each reconfigurable battery network by solving the model. Then, the optimal performance parameters of each reconfigurable battery network are substituted into a topology optimization model to obtain the optimal topology for each network. Based on the optimal topology, the state of controllable switches in each reconfigurable battery network is controlled, adjusting the circuit topology of the battery network, thereby regulating the performance parameters and changing the system's energy output state. This achieves optimized operation of the reconfigurable battery energy storage system, improving its energy efficiency and operational reliability.

Description

Technical Field

[0001] This invention relates to the field of electrochemical energy storage technology, and in particular to an optimized operation method, system, device and medium for a reconfigurable battery energy storage system. Background Technology

[0002] With the large-scale grid connection of intermittent new energy sources such as wind power and photovoltaics, the stable operation of the power grid faces new challenges. Energy storage technology, which can smooth out fluctuations and improve power quality, has become an indispensable part of the new power system. Among them, electrochemical energy storage has attracted widespread attention due to its advantages such as fast response speed and mature technology.

[0003] The core of electrochemical energy storage lies in large-scale battery energy storage systems and their management. These systems often comprise multiple differentiated battery networks operating in tandem. Traditional battery energy storage systems typically connect a large number of individual cells in a fixed series-parallel configuration to meet load voltage and current requirements. However, due to the differences between individual cells, this fixed connection method suffers from the "weakest link" effect, meaning the performance of the entire battery energy storage system depends on the worst-performing cell, leading to low energy efficiency and low reliability. Summary of the Invention

[0004] To address the problems mentioned in the background art, the present invention provides an optimized operation method, system, device, and medium for a reconfigurable battery energy storage system, so as to improve the energy efficiency and operational reliability of the reconfigurable battery energy storage system.

[0005] To achieve the above objectives, the present invention provides the following solution:

[0006] On one hand, the present invention provides an optimized operation method for a reconfigurable battery energy storage system, comprising:

[0007] An optimal operating performance function model for a reconfigurable battery energy storage system is established. The reconfigurable battery energy storage system includes multiple differentiated reconfigurable battery networks operating in coordination. The reconfigurable battery network is a battery network formed by connecting a large number of identical individual cells through a switch array composed of a series of controllable switches.

[0008] Solve the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network;

[0009] Establish a topology optimization model for reconfigurable battery networks;

[0010] Substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network.

[0011] The state of the controllable switches in each reconfigurable battery network is controlled according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

[0012] Optionally, establishing the optimal operating performance function model of the reconfigurable battery energy storage system specifically includes:

[0013] Establish the optimal operating performance function model for reconfigurable battery energy storage systems.

[0014] Where C n C represents the set of optimized operation schemes for a reconfigurable battery energy storage system, C = {C1, C2, ..., C...} N The nth optimized running scheme in the}, where N is the number of optimized running schemes; The reliable current represents the nth optimized operating scheme; h and T represent the load demand and operating conditions of the reconfigurable battery energy storage system, respectively. This represents the system performance parameters considering system load requirements, operating conditions, and optimized operation schemes, including the performance parameters of each reconfigurable battery network; the optimal performance parameters of each reconfigurable battery network include the current, voltage, and power of each reconfigurable battery network; γ represents C. n Corresponding system costs; This represents the optimal running scheme among N optimized running schemes.

[0015] Optionally, solving the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network specifically includes:

[0016] The optimal operating performance function model is expressed as a multi-objective optimization problem and solved using a dynamic programming algorithm. By finding the shortest path in the Cost-to-Go function of the dynamic programming, the optimal operating scheme of the reconfigurable battery energy storage system within a given operating time is obtained; the optimal operating scheme includes the optimal performance parameters of each reconfigurable battery network.

[0017] Optionally, establishing the topology optimization model for the reconfigurable battery network specifically includes:

[0018] Establish a topology optimization model for reconfigurable battery networks. Where x m Let represent the design parameter matrix of the reconfigurable battery network in the m-th topology optimization scheme. The design parameters include the optimal performance parameters and operating state parameters of the reconfigurable battery network. The operating state parameters include the internal resistance, capacity, temperature, charge / discharge current, SOC, SOH, open-circuit voltage, and lifespan of individual cells. M represents the number of topology optimization schemes. Y() represents the optimization objective function. H mLet represent the topology of the reconfigurable battery network in the m-th topology optimization scheme.

[0019] Optionally, the step of substituting the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network specifically includes:

[0020] A directed acyclic graph (DAG) is used to describe the topology of each reconfigurable battery network. Each point in the DAG represents the state of a controllable switch, and the power consumption resulting from each state is marked on each edge. Thus, the problem of solving the topology optimization model is transformed into a dynamic programming problem through the Lagrange relaxation algorithm, and the optimal topology of each reconfigurable battery network is obtained.

[0021] On the other hand, the present invention also provides an optimized operating system for a reconfigurable battery energy storage system, comprising:

[0022] The optimal operating performance function model establishment module is used to establish the optimal operating performance function model of the reconfigurable battery energy storage system; the reconfigurable battery energy storage system includes multiple differentiated reconfigurable battery networks operating in coordination; the reconfigurable battery network is a battery network formed by connecting a large number of identical individual cells through a switch array composed of a series of controllable switches;

[0023] The optimal performance parameter solution module is used to solve the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network.

[0024] The topology optimization model building module is used to build a topology optimization model for reconfigurable battery networks.

[0025] The optimal topology solution module is used to substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network.

[0026] The system optimization operation module is used to control the state of the controllable switches in each reconfigurable battery network according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

[0027] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the optimized operation method of the reconfigurable battery energy storage system.

[0028] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the optimized operation method of the reconfigurable battery energy storage system.

[0029] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0030] The present invention provides an optimized operation method, system, device, and medium for a reconfigurable battery energy storage system. First, an optimal operating performance function model of the reconfigurable battery energy storage system is established, and the optimal performance parameters of each reconfigurable battery network are obtained by solving the model. Then, the optimal performance parameters of each reconfigurable battery network are substituted into the topology optimization model of the reconfigurable battery network to obtain the optimal topology of each reconfigurable battery network. Based on the optimal topology, the state of the controllable switches in each reconfigurable battery network is controlled, adjusting the circuit topology of the battery network, thereby regulating the performance parameters of the battery network and changing the system's energy output state. This achieves optimized operation of the reconfigurable battery energy storage system, improving its energy efficiency and operational reliability. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 The flowchart illustrates an optimized operation method for a reconfigurable battery energy storage system provided by this invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] The purpose of this invention is to provide an optimized operation method, system, device, and medium for a reconfigurable battery energy storage system, so as to improve the energy efficiency and operational reliability of the reconfigurable battery energy storage system.

[0035] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0036] Figure 1 A flowchart of an optimized operation method for a reconfigurable battery energy storage system provided by this invention is shown below. Figure 1An optimized operation method for a reconfigurable battery energy storage system includes:

[0037] Step 1: Establish the optimal operating performance function model for the reconfigurable battery energy storage system.

[0038] The reconfigurable battery energy storage system studied in this invention includes multiple differentiated reconfigurable battery networks operating in coordination. Each reconfigurable battery network is a battery network formed by connecting a large number of identical individual batteries through a switch array composed of a series of controllable switches. By controlling the state (on or off) of the controllable switches connected to the batteries, the connection mode of the batteries is changed, the circuit topology of the battery network is adjusted, and thus the output power of the battery network is regulated. By operating the switch states in the switch array of each reconfigurable battery network, the connection mode between multiple reconfigurable battery networks is adjusted, the battery current is changed, and thus the energy output state of the entire reconfigurable battery energy storage system can be changed.

[0039] Multiple collaboratively operating differentiated reconfigurable battery networks refer to multiple reconfigurable battery networks included in a reconfigurable battery energy storage system. Each reconfigurable battery network may contain different individual cell parameters. However, within the same reconfigurable battery network, the parameters of each individual cell are the same.

[0040] In practical applications, controllable switches can use high-frequency, low-power power MOSFETs. With the help of a switch array composed of MOSFETs, the voltage / current of the reconfigurable battery network can be configured quickly.

[0041] Large-scale reconfigurable battery energy storage systems based on reconfigurable battery networks comprise a large number of differentiated battery networks and power electronic switching devices. Each battery network is flexibly connected from multiple individual battery cells. The external characteristics of these differentiated reconfigurable battery networks exhibit significant inconsistencies. To ensure the optimized operation of this complex reconfigurable battery energy storage system, this invention integrates the battery's external characteristic degradation characteristics, considering constraints such as system losses, power output conditions, component operating ranges, and system reliability requirements. Based on the proposed optimized operation scheme {C1, C2, ..., C...} for the reconfigurable battery energy storage system... N}, thus establishing an optimal operating performance function model for a reconfigurable battery energy storage system:

[0042]

[0043] Where C n C represents the set of optimized operation schemes for a reconfigurable battery energy storage system, C = {C1, C2, ..., C...} N The nth optimized running scheme in the}, where N is the number of optimized running schemes; The reliable current represents the nth optimized operating scheme; h and T represent the load demand and operating conditions of the reconfigurable battery energy storage system, respectively. This represents the system performance parameters considering system load requirements, operating conditions, and optimized operation schemes, including the performance parameters of each reconfigurable battery network; the optimal performance parameters of each reconfigurable battery network include the current, voltage, and power of each reconfigurable battery network; γ represents C. n Corresponding system costs; This represents the optimal running scheme among N optimized running schemes.

[0044] Step 2: Solve the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network.

[0045] Optimizing the operation and control strategy of a reconfigurable battery energy storage system under given operating conditions is a high-dimensional and complex system problem. In the practical application scenarios of large-scale battery energy storage systems, especially under complex operating conditions (such as frequent charge-discharge switching scenarios), the dynamic reconfiguration control strategy of the battery network needs to simultaneously consider the coordinated control of multiple objectives such as safety, reliability, and economy. This invention expresses the optimal operating performance function model (1) as a multi-objective optimization problem and solves it through a dynamic programming algorithm. By finding the shortest path in the Cost-to-Go function in the dynamic programming, the optimal operating scheme of the reconfigurable battery energy storage system within a given working time is obtained; the optimal operating scheme includes the optimal performance parameters of each reconfigurable battery network, namely the optimal current, voltage, and power of each reconfigurable battery network.

[0046] Based on the solution results of the above optimal operating performance function model (1), battery operating schemes with potential safety issues will be automatically removed from the operating schemes, thereby enabling the large-scale reconfigurable battery energy storage system that meets the system reliability constraints and the reliable operating range of components to achieve optimal performance.

[0047] Step 3: Establish a topology optimization model for the reconfigurable battery network.

[0048] Given a specific load requirement (current / voltage / power, etc.), a reconfigurable battery network may have multiple different battery network topologies to meet the output demand. Therefore, it is necessary to study the battery network topology optimization strategy in the current reconfiguration cycle. This involves selecting the battery network topology that results in the greatest increase (charging) or the least decrease (discharging) in the system's effective capacity during the reconfiguration cycle from among all battery network topologies that meet the load requirement, while also considering the balance between individual battery cells / network modules in the system.

[0049] Dynamically reconfigurable battery networks constitute a cyber-physical complex energy module. The dynamic reconfiguration of the battery network topology is a crucial factor affecting network characteristics. This invention aims to transform its topology optimization into a dynamic optimization problem for a large-scale complex network, thereby solving the large-scale battery network optimization problem and achieving dynamic and effective control of the battery network. In this invention, the topology optimization model for the reconfigurable battery network is established as follows:

[0050]

[0051] Where x m Let represent the design parameter matrix of the reconfigurable battery network in the m-th topology optimization scheme. Each design parameter in the matrix includes: the optimal performance parameters (current / voltage / power) and operating state parameters of the reconfigurable battery network; the operating state parameters include the internal resistance, capacity, temperature, charge / discharge current, SOC, SOH, open-circuit voltage, and lifespan of individual cells. M is the number of topology optimization schemes; Y() represents the optimization objective function; H m Let represent the topology of the reconfigurable battery network in the m-th topology optimization scheme.

[0052] The constraints of the topology optimization model (2) include upper and lower limits for each design parameter variable. Based on the characteristics and state of each individual battery cell, the performance of the battery network composed of a group of identical individual batteries according to different battery network topologies is obtained. Then, the topology reconstruction of the dynamic battery network is achieved through the structural transformation of the underlying physical switch array, thereby optimizing the performance of the entire reconfigurable battery energy storage system.

[0053] Step 4: Substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network.

[0054] For the topology optimization problem of dynamically reconfigurable batteries, this invention selects the optimal battery network topology by considering battery state, load condition, and environmental factors. Since the capacity of a single battery cell decreases monotonically during charging or discharging, this invention uses a directed acyclic graph to describe the topology of each reconfigurable battery network, that is, to describe the evolution of the battery cell connections within the reconfigurable battery network. Each point in the directed acyclic graph represents the state of a controllable switch (on or off), and the power consumption resulting from this state is marked on each edge. Thus, the problem of solving the topology optimization model (2) can be transformed into a dynamic programming problem by using the Lagrange relaxation algorithm to solve for the optimal topology of each reconfigurable battery network.

[0055] Step 5: Control the state of the controllable switches in each reconfigurable battery network according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

[0056] By controlling the state (on or off) of the controllable switches connected to each individual cell in the reconfigurable battery network according to the optimal topology, the connection method of the batteries can be changed, the topology of the battery network can be dynamically adjusted, and thus the performance parameters (current / voltage / output power) of the battery network can be regulated. Furthermore, by manipulating the switch states in each reconfigurable battery network switch array, the connection method between multiple differentiated reconfigurable battery networks can be adjusted, changing the magnitude of the battery network performance parameters (current / voltage / output power), and thus changing the energy output state of the entire reconfigurable battery energy storage system.

[0057] In practical applications, the optimized operation method of the reconfigurable battery energy storage system of this invention can also be implemented in a smart chip to manage the battery network. The smart chip can manage the charging and discharging current and battery combination mode according to the characteristics and state of the battery, which can effectively improve the battery utilization rate and greatly extend the battery life. The smart chip can also be equipped with an automatic bypass function for damaged batteries to protect undamaged batteries and effectively enhance the reliability of system operation. The reconfigurable battery energy storage system of this invention is equipped with an Ethernet communication interface to provide users with a remote visual monitoring method. Its panel is equipped with status indicator lights to provide users with on-site monitoring. An external manual switch on the panel facilitates the installation and maintenance of hardware equipment by users and ensures the personal safety of maintenance personnel.

[0058] Based on the method provided by this invention, this invention also provides an optimized operation system for a reconfigurable battery energy storage system, comprising:

[0059] The optimal operating performance function model establishment module is used to establish the optimal operating performance function model of the reconfigurable battery energy storage system; the reconfigurable battery energy storage system includes multiple differentiated reconfigurable battery networks operating in coordination; the reconfigurable battery network is a battery network formed by connecting a large number of identical individual cells through a switch array composed of a series of controllable switches;

[0060] The optimal performance parameter solution module is used to solve the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network.

[0061] The topology optimization model building module is used to build a topology optimization model for reconfigurable battery networks.

[0062] The optimal topology solution module is used to substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network.

[0063] The system optimization operation module is used to control the state of the controllable switches in each reconfigurable battery network according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

[0064] Furthermore, the present invention also provides an electronic device, which may include a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus. The processor can call a computer program stored in the memory to execute the optimized operation method of the reconfigurable battery energy storage system.

[0065] Furthermore, when the computer program in the aforementioned memory is implemented as 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, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.

[0066] Furthermore, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, can implement the optimized operation method of the reconfigurable battery energy storage system.

[0067] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0068] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An optimized operation method for a reconfigurable battery energy storage system, characterized in that, include: Establish the optimal operating performance function model for reconfigurable battery energy storage systems. ;in This represents a set of optimized operation schemes for reconfigurable battery energy storage systems. The Middle There are several optimized operation schemes, where N is the number of optimized operation schemes; Indicates the first Reliable current for an optimized operating scheme; and These represent the load requirements and operating conditions of the reconfigurable battery energy storage system, respectively. This represents the system performance parameters considering system load requirements, operating conditions, and optimized operation schemes, including the performance parameters of each reconfigurable battery network; the optimal performance parameters of each reconfigurable battery network include the current, voltage, and power of each reconfigurable battery network. express Corresponding system costs; This represents the optimal running plan among N optimized running plans; The reconfigurable battery energy storage system includes multiple differentiated reconfigurable battery networks operating in coordination; the reconfigurable battery network is a battery network formed by connecting a large number of identical individual cells through a switch array composed of a series of controllable switches. Solving the optimal operating performance function model yields the optimal performance parameters for each reconfigurable battery network. The optimal operating performance function model is expressed as a multi-objective optimization problem and solved using a dynamic programming algorithm. By finding the shortest path in the Cost-to-Go function of the dynamic programming algorithm, the optimal operating scheme for the reconfigurable battery energy storage system within a given operating time is obtained. The optimal operating scheme includes the optimal performance parameters for each reconfigurable battery network. Establish a topology optimization model for reconfigurable battery networks. ;in Let M represent the design parameter matrix of the reconfigurable battery network in the m-th topology optimization scheme. The design parameters include the optimal performance parameters and operating state parameters of the reconfigurable battery network. The operating state parameters include the internal resistance, capacity, temperature, charge / discharge current, SOC, SOH, open circuit voltage, and lifespan of a single battery cell. M is the number of topology optimization schemes. This represents the objective function to be optimized. Let represent the topology of the reconfigurable battery network in the m-th topology optimization scheme; Substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network. The state of the controllable switches in each reconfigurable battery network is controlled according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

2. The optimized operation method of the reconfigurable battery energy storage system according to claim 1, characterized in that, The step of substituting the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network specifically includes: A directed acyclic graph (DAG) is used to describe the topology of each reconfigurable battery network. Each point in the DAG represents the state of a controllable switch, and the power consumption resulting from each state is marked on each edge. Thus, the problem of solving the topology optimization model is transformed into a dynamic programming problem through the Lagrange relaxation algorithm, and the optimal topology of each reconfigurable battery network is obtained.

3. An optimized operation system for a reconfigurable battery energy storage system, characterized in that, A method for optimizing the operation of the reconfigurable battery energy storage system according to any one of claims 1-2 includes: The optimal operating performance function model establishment module is used to establish the optimal operating performance function model of the reconfigurable battery energy storage system; the reconfigurable battery energy storage system includes multiple differentiated reconfigurable battery networks operating in coordination; the reconfigurable battery network is a battery network formed by connecting a large number of identical individual cells through a switch array composed of a series of controllable switches; The optimal performance parameter solution module is used to solve the optimal operating performance function model to obtain the optimal performance parameters for each reconfigurable battery network. The topology optimization model building module is used to build a topology optimization model for reconfigurable battery networks. The optimal topology solution module is used to substitute the optimal performance parameters of each reconfigurable battery network into the topology optimization model to solve for the optimal topology of each reconfigurable battery network. The system optimization operation module is used to control the state of the controllable switches in each reconfigurable battery network according to the optimal topology, thereby controlling the optimized operation of the reconfigurable battery energy storage system.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the optimized operation method of the reconfigurable battery energy storage system as described in any one of claims 1 to 2.

5. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the optimized operation method of the reconfigurable battery energy storage system as described in any one of claims 1 to 2.

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