Power distribution method and device of energy storage power station, computer equipment and medium

Abstract

The invention relates to a power distribution method and device of an energy storage power station, computer equipment and a medium. The method comprises the following steps: acquiring operation data of each energy storage device in the energy storage power station; based on the operation data, a power distribution objective function is constructed by taking the sum maximization of the operation efficiency index, the charge state index, the operation reliability index, the cycle life index and the comprehensive performance index of all the energy storage equipment as an objective; constructing constraint conditions based on the power constraint and the charge safety constraint; solving the power distribution objective function based on constraint conditions to obtain a power distribution scheme of each energy storage device; and performing power distribution on each energy storage device based on the power distribution scheme. By adopting the method, the operation efficiency of the electrochemical energy storage power station can be improved.

Description

Technical Field

[0001] This application relates to the field of electrochemical energy storage technology, and in particular to a power distribution method, device, computer equipment and medium for an energy storage power station. Background Technology

[0002] Electrochemical energy storage has become a core technological approach to solving the problem of renewable energy consumption due to its advantages such as fast response speed, flexible configuration, and short construction period. In electrochemical energy storage power stations, the rational allocation of operating power among various devices is not only crucial to ensuring the normal operation of each device, but also an important factor affecting the operating efficiency and equipment utilization rate of the entire power station.

[0003] In traditional technologies, charging and discharging power is usually evenly distributed to each power converter (PCS). This distribution method can easily lead to overload or underload of a single PCS, thereby affecting the operating efficiency of the electrochemical energy storage power station.

[0004] Therefore, how to allocate power in electrochemical energy storage power stations to improve their operating efficiency is a problem that needs to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a power distribution method, device, computer equipment, and medium for an energy storage power station to address the aforementioned technical problems and improve the operating efficiency of the electrochemical energy storage power station.

[0006] Firstly, this application provides a power allocation method for an energy storage power station, comprising:

[0007] Acquire operational data from each energy storage device in the energy storage power station;

[0008] Based on the operational data, a power allocation objective function is constructed with the goal of maximizing the sum of the operational efficiency index, charge state index, operational reliability index, cycle life index, and comprehensive performance index of all the energy storage devices.

[0009] Constraint conditions are constructed based on power constraints and charge safety constraints;

[0010] Based on the constraints, the power allocation objective function is solved to obtain the power allocation scheme for each energy storage device;

[0011] Power is allocated to each energy storage device based on the power allocation scheme.

[0012] In one embodiment, the step of constructing a power allocation objective function based on the operational data, with the goal of maximizing the sum of the operating efficiency index, state of charge index, operational reliability index, cycle life index, and comprehensive performance index of all the energy storage devices, includes:

[0013] The operational data includes the operating status, operating efficiency, charge status, reliability score, cycle count, and overall performance score of each energy storage device.

[0014] Based on the operating efficiency of each energy storage device and the power allocation variables of the corresponding energy storage device, an operating efficiency function for the corresponding energy storage device is constructed.

[0015] Based on the current operating status of the energy storage power station, the charge state of each energy storage device, and the power allocation variables of the corresponding energy storage device, a charge state function for the corresponding energy storage device is constructed.

[0016] Based on the reliability score of each energy storage device and the power allocation variable of the corresponding energy storage device, an operational reliability function for the corresponding energy storage device is constructed.

[0017] Based on the cycle number of each energy storage device and the power allocation variable of the corresponding energy storage device, a cycle lifetime function for the corresponding energy storage device is constructed.

[0018] Based on the comprehensive performance score of each energy storage device and the power allocation variables of the corresponding energy storage device, a comprehensive performance function of the corresponding energy storage device is constructed.

[0019] The power allocation objective function is generated with the goal of maximizing the sum of the function values ​​of the operating efficiency function, the charge state function, the reliability function, the cycle life function, and the comprehensive performance function of all the energy storage devices.

[0020] In one embodiment, generating the power allocation target function with the objective of maximizing the sum of the function values ​​of the operating efficiency function, the charge state function, the reliability function, the cycle life function, and the comprehensive performance function of all the energy storage devices includes:

[0021] The weighting coefficients for the operating efficiency, charge state, reliability score, number of cycles, and overall performance score are determined respectively.

[0022] The power allocation objective function is generated by taking the maximum value of the weighted sum of the function values ​​of the operating efficiency function, the charge state function, the reliability function, the cycle life function, and the comprehensive performance function of all the energy storage devices and their corresponding weighting coefficients.

[0023] In one embodiment, the construction of constraint conditions based on power constraints and charge safety constraints includes:

[0024] The power constraints are determined based on the total power balance constraints and the upper and lower power limits of each energy storage device.

[0025] The charge safety constraint is determined based on the upper and lower charge limits of each of the energy storage devices.

[0026] The constraints include the power constraint and the charge safety constraint.

[0027] In one embodiment, the power allocation to each energy storage device based on the power allocation scheme includes:

[0028] The priority of the corresponding energy storage device is determined based on multiple operational data of each energy storage device and the weight coefficient corresponding to each operational data.

[0029] Based on the power allocation scheme, power is allocated to each energy storage device according to the priority of each energy storage device.

[0030] In one embodiment, the power allocation to each energy storage device based on the power allocation scheme includes:

[0031] Determine the power allocation period and the power allocation scheme within each power allocation period;

[0032] Power is allocated to each energy storage device based on the power allocation scheme within each power allocation cycle.

[0033] In one embodiment, solving the power allocation objective function based on the constraints to obtain the power allocation scheme for each energy storage device includes:

[0034] If a feasible solution to the power allocation function cannot be obtained based on the constraints, then the backup power allocation scheme is determined as the power allocation scheme.

[0035] Secondly, this application also provides a power distribution device for an energy storage power station, comprising:

[0036] The data acquisition module is used to acquire the operating data of each energy storage device in the energy storage power station;

[0037] The function construction module is used to construct a power allocation objective function based on the operating data, with the goal of maximizing the sum of the operating efficiency index, charge state index, operating reliability index, cycle life index, and comprehensive performance index of all the energy storage devices.

[0038] The constraint construction module is used to construct constraint conditions based on power constraints and charge safety constraints.

[0039] The scheme determination module is used to solve the power allocation objective function based on the constraints to obtain the power allocation scheme for each energy storage device.

[0040] The scheme allocation module is used to allocate power to each energy storage device based on the power allocation scheme.

[0041] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the power distribution method of the energy storage power station in any of the above embodiments.

[0042] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the power allocation method for the energy storage power station in any of the above embodiments.

[0043] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the power distribution method for the energy storage power station in any of the above embodiments.

[0044] The power allocation method, device, computer equipment, and medium of the aforementioned energy storage power station, based on the operating data of each energy storage device, aim to maximize the sum of the operating efficiency, charge state, operational reliability, cycle life, and comprehensive performance indicators of all energy storage devices. A power allocation objective function is constructed, and then constraints are determined based on power and charge constraints. The power allocation objective function is then solved based on these constraints to obtain a power allocation scheme for each energy storage device. This ensures that after power allocation is performed according to the determined scheme, multiple energy storage devices maintain stable operation under a comprehensive consideration of operating efficiency, charge state, operational reliability, cycle life, and comprehensive performance. Furthermore, it maximizes the overall operating efficiency of the energy storage power station, effectively improving the operating efficiency of the electrochemical energy storage power station. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1This is a schematic diagram illustrating the application environment of a power allocation method for an energy storage power station provided in an embodiment of this application;

[0047] Figure 2 This is a flowchart of a power allocation method for an energy storage power station provided in an embodiment of this application;

[0048] Figure 3 This is an application example flowchart of a power allocation method for an energy storage power station provided in an embodiment of this application;

[0049] Figure 4 This is a schematic representation of the operating data of various energy storage devices in an energy storage power station, provided in an embodiment of this application.

[0050] Figure 5 This is a schematic diagram of the structure of a power distribution device for an energy storage power station provided in an embodiment of this application;

[0051] Figure 6 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0053] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0054] The power allocation method for energy storage power stations provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, Figure 1This is a schematic diagram illustrating the application environment of a power allocation method for an energy storage power station according to an embodiment of this application. The terminal 102 communicates with the server 104 via a network. A data storage system can store the data that the server 104 needs to process. The data storage system can be integrated onto the server 104, or it can be located in the cloud or on another network server. The terminal 102 can monitor the operating data of each energy storage device in the energy storage power station and transmit the monitored operating data to the server 104. The terminal 102 can be, but is not limited to, various data monitoring sensors. The server 104 can be an independent physical server located in the energy storage power station, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0055] In one exemplary embodiment, Figure 2 This is a flowchart illustrating a power allocation method for an energy storage power station provided in an embodiment of this application, applied to... Figure 1 Taking server 104 as an example, the explanation is as follows: Figure 2 As shown, the method includes:

[0056] Step 201: Obtain the operating data of each energy storage device in the energy storage power station.

[0057] Step 202: Based on the operational data, construct a power allocation objective function with the goal of maximizing the sum of the operational efficiency index, charge state index, operational reliability index, cycle life index, and comprehensive performance index of all energy storage devices.

[0058] Step 203: Construct constraint conditions based on power constraints and charge safety constraints.

[0059] Step 204: Solve the power allocation objective function based on the constraints to obtain the power allocation scheme for each energy storage device.

[0060] Step 205: Distribute power to each energy storage device based on the power distribution scheme.

[0061] For example, each terminal can monitor the operational data of each energy storage device in the energy storage power station and transmit the monitored operational data to the server, thereby enabling the server to obtain the operational data of each energy storage device. This energy storage power station can be an electrochemical energy storage power station. The energy storage devices in the energy storage power station can be battery compartments and power converters, among other devices. Specifically, the operational data can include historical and real-time operational data of each energy storage device. The operational data can include the operating status, operating efficiency, state of charge, cycle count, state of health (SOH), fault history records, operating temperature, response speed, maintenance cost, and control accuracy of each energy storage device. Furthermore, based on the energy storage device's health status, fault history records, and operating temperature data, a reliability score for the energy storage device can be determined. A comprehensive performance score for the energy storage device can be obtained by normalizing and weighting the data on the energy storage device's response speed, maintenance cost, and control accuracy.

[0062] Furthermore, based on operational data, a power allocation objective function can be constructed with the goal of maximizing the sum of the operating efficiency, state of charge, operational reliability, cycle life, and overall performance indicators of all energy storage devices. Specifically, the operating efficiency indicator encourages high-efficiency energy storage devices to allocate more power; the state of charge indicator promotes a more consistent state of charge among all energy storage devices, preventing some devices from overcharging or over-discharging; the operational reliability indicator encourages high-reliability energy storage devices to allocate more power; the cycle life indicator protects units with a high number of cycles, reducing their power allocation; and the overall performance indicator encourages high-performance units to allocate more power.

[0063] Furthermore, constraints are constructed for the power allocation objective function based on power constraints and charge safety constraints corresponding to each energy storage device. The power allocation objective function is then solved based on these constraints to obtain the power allocation amount for each energy storage device, i.e., the power allocation scheme for each energy storage device. Specifically, linear programming, quadratic programming, sequential quadratic programming, or the interior-point method can be used to solve the power allocation objective function, thereby obtaining the optimal power allocation vector P=[P1,P2,...,P...]. N This vector represents the power allocation scheme for each energy storage device. Finally, power is allocated to each energy storage device according to the determined power allocation scheme. Specifically, the power value of each energy storage device can be sent to the corresponding power converter (PCS), thereby realizing the power allocation of multiple energy storage devices.

[0064] In the above implementation process, based on the operating data of each energy storage device, a power allocation objective function is constructed with the goal of maximizing the sum of the operating efficiency, charge state, operational reliability, cycle life, and comprehensive performance indicators of all energy storage devices. Then, based on power constraints and charge constraints, the constraint conditions are determined, and the power allocation objective function is solved based on the constraint conditions, thereby obtaining the power allocation scheme for each energy storage device. After allocating power to each energy storage device according to the determined power allocation scheme, it can ensure that multiple energy storage devices maintain stable operation under the overall consideration of operating efficiency, charge state, operational reliability, cycle life, and comprehensive performance. Moreover, it can ensure the maximization of the operating efficiency of the entire energy storage power station, effectively improving the operating efficiency of the electrochemical energy storage power station.

[0065] In one example, based on operational data, a power allocation objective function is constructed with the goal of maximizing the sum of the operating efficiency, state of charge, operational reliability, cycle life, and overall performance indicators of all energy storage devices. This may include the following steps:

[0066] Step 1: Operational data includes the operating status, operating efficiency, charge status, reliability score, cycle count, and overall performance score of each energy storage device.

[0067] Step 2: Based on the operating efficiency of each energy storage device and the power allocation variables of the corresponding energy storage device, construct the operating efficiency function of the corresponding energy storage device.

[0068] Step 3: Based on the current operating status of the energy storage power station, the charge state of each energy storage device, and the power allocation variables of the corresponding energy storage device, construct the charge state function of the corresponding energy storage device.

[0069] Step 4: Based on the reliability score of each energy storage device and the power allocation variables of the corresponding energy storage device, construct the operation reliability function of the corresponding energy storage device.

[0070] Step 5: Based on the number of cycles for each energy storage device and the power allocation variable of the corresponding energy storage device, construct the cycle lifetime function for the corresponding energy storage device.

[0071] Step 6: Based on the comprehensive performance score of each energy storage device and the power allocation variables of the corresponding energy storage device, construct the comprehensive performance function of the corresponding energy storage device.

[0072] Step 7: Generate a power allocation objective function with the goal of maximizing the sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and comprehensive performance function of all energy storage devices.

[0073] For example, sub-functions corresponding to operating efficiency indicators, charge state indicators, operating reliability indicators, cycle life indicators, and comprehensive performance indicators can be established based on operating data, and then a power allocation objective function can be constructed based on multiple sub-functions.

[0074] Specifically, the operating data of each energy storage device can include its operating status, operating efficiency, charge status, reliability score, cycle count, and overall performance score.

[0075] The operating efficiency function of each energy storage device can be constructed based on its operating efficiency and the corresponding power allocation variables. As an example, the operating efficiency function of an energy storage device can be determined by the following expression:

[0076] (1)

[0077] in, Let be the operating efficiency function of the i-th energy storage device; Let P be the operating efficiency of the i-th energy storage device; i The power allocated to the i-th energy storage device is the power allocation variable for the i-th energy storage device.

[0078] Based on the current operating status of the energy storage power station, the charge state of each energy storage device, and the corresponding power allocation variables, the charge state function of each energy storage device can be constructed. Specifically, the charge state function expression for each energy storage device can be determined based on whether the energy storage power station is currently in a charging or discharging state. Then, using the determined expression and the charge state of each energy storage device, along with its corresponding power allocation variables, the charge state function of that energy storage device can be constructed. Specifically, when the energy storage power station is in a discharging state, the corresponding charge state function expression is:

[0079] (2)

[0080] When the energy storage power station is in the charging state, the corresponding charge state function expression is:

[0081] (3)

[0082] in, Let be the charge state function of the i-th energy storage device; Let be the charge quantity of the i-th energy storage device. When the energy storage power station adopts different charge state functions under different states, it can make the energy storage devices that deviate from the average value approach the average value after power distribution under different states.

[0083] Based on the reliability score of each energy storage device and its corresponding power allocation variables, an operational reliability function can be constructed for that energy storage device. Specifically, the operational reliability function of an energy storage device can be determined by the following expression:

[0084] (4)

[0085] in, Let be the operational reliability function for the i-th energy storage device; The reliability score is given for the i-th energy storage device. This reliability score can be determined based on data such as the health status, fault history, and operating temperature of the i-th energy storage device.

[0086] The cycle life function of each energy storage device can be constructed based on its cycle count and power allocation variable. Specifically, the cycle life function of an energy storage device can be determined by the following expression:

[0087] (5)

[0088] in, Let be the cycle life function of the i-th energy storage device; Let i be the current cycle number of the i-th energy storage device; The maximum number of cycles preset for energy storage devices.

[0089] Based on the comprehensive performance score of each energy storage device and its corresponding power allocation variables, a comprehensive performance function for that energy storage device can be constructed. Specifically, the comprehensive performance function of an energy storage device can be determined by the following expression:

[0090] (6)

[0091] in, Let be the comprehensive performance function of the i-th energy storage device; The comprehensive performance score of the i-th energy storage device is calculated by weighting the normalized data such as the response speed, maintenance cost, and control accuracy of the i-th energy storage device.

[0092] Furthermore, a power allocation objective function is generated by maximizing the sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and overall performance function of all energy storage devices. This is achieved by summing the operating efficiency function, charge state function, reliability function, cycle life function, and overall performance function of all energy storage devices.

[0093] In the above implementation process, based on the operating data and the power allocation variables corresponding to each energy storage device, multiple sub-functions are constructed, including the operating efficiency function, charge state function, operating reliability function, cycle life function, and comprehensive performance function. The power allocation objective function is constructed with the goal of maximizing the sum of multiple sub-functions, so that the functional allocation scheme can meet the efficiency maximization of the overall operation of multiple energy storage devices.

[0094] In one example, generating a power allocation objective function with the goal of maximizing the sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and overall performance function of all energy storage devices can include the following steps:

[0095] Step 1: Determine the weighting coefficients for operating efficiency, charge state, reliability score, number of cycles, and overall performance score.

[0096] Step 2: Generate the power allocation objective function by taking the maximum value of the weighted sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and comprehensive performance function of all energy storage devices and their corresponding weighting coefficients.

[0097] For example, in the process of generating the power allocation objective function, different operating indicators have varying degrees of impact on the overall operating efficiency. Therefore, the proportions of each sub-function in the power allocation objective function also differ. Thus, the power allocation objective function can be constructed based on the proportions of each sub-function. Specifically, the weighting coefficients corresponding to operating efficiency, charge state, reliability score, number of cycles, and overall performance score can be determined separately, and the power allocation objective function can be further generated based on each sub-function and its corresponding proportion. As an example, the weighting coefficients corresponding to operating efficiency, charge state, reliability score, number of cycles, and overall performance score are as follows: , , , as well as The power allocation objective function can then be determined by the following expression:

[0098] (7)

[0099] in, The objective function is denoted as ; N is the total number of energy storage devices in the energy storage power station.

[0100] In the above implementation process, a power allocation objective function is generated based on the weighting coefficients corresponding to the comprehensive performance score of operating efficiency, charge state, reliability score, and cycle count, as well as each sub-function. This realizes the generation of a power allocation objective function based on the importance of different factors in power allocation, thereby improving the rationality of the power allocation objective function generation. As a result, the power allocation scheme obtained through this power allocation objective function can maximize the utilization of each energy storage device, thus improving the utilization rate of each energy storage device.

[0101] In one example, constructing constraints based on power constraints and charge safety constraints may include the following steps:

[0102] Step 1: Determine the power constraints based on the total power balance constraints and the upper and lower power limits of each energy storage device.

[0103] Step 2: Determine charge safety constraints based on the upper and lower charge limits of each energy storage device.

[0104] Step 3: Constraints include power constraints and charge safety constraints.

[0105] For example, the power constraint can be determined based on the total power balance constraint and the upper and lower power limits of each energy storage device. As an example, the total power balance constraint can be determined by the following expression:

[0106] (8)

[0107] in, This represents the total power of all energy storage devices in the energy storage power station.

[0108] The upper and lower power limits of energy storage devices can be determined by the following expression:

[0109] (9)

[0110] in, is the maximum allowable discharge power of the i-th energy storage device (unit: kW, a positive value). This represents the maximum allowable charging power (in kW, a positive value) for the i-th energy storage device. and The value can be determined based on the current charge of the i-th energy storage device.

[0111] Furthermore, charge safety constraints can be determined based on the upper and lower charge limits of each energy storage device. As an example, charge safety constraints can be determined using the following expression:

[0112] (10)

[0113] in, Let be the minimum charge required for the i-th energy storage device to operate. This represents the maximum charge quantity during the operation of the i-th energy storage device.

[0114] Finally, the constraints of the power allocation objective function are determined based on the above expressions (8), (9) and (10).

[0115] In the above implementation process, power constraints are determined based on the total power balance constraints and the upper and lower power limits of each energy storage device, and charge safety constraints are determined based on the upper and lower charge limits of each energy storage device. This effectively realizes the determination of the constraints of the power allocation objective function and ensures the safety of operation of each energy storage device.

[0116] In one example, allocating power to each energy storage device based on a power allocation scheme may include the following steps:

[0117] Step 1: Determine the priority of the corresponding energy storage device based on multiple operating data of each energy storage device and the weight coefficient corresponding to each operating data.

[0118] Step 2: Based on the power allocation scheme, allocate power to each energy storage device according to the priority of each energy storage device.

[0119] For example, when allocating power to each energy storage device according to a power allocation scheme, the allocation can also be based on the priority of each energy storage device. Specifically, the priority of each energy storage device can be determined based on multiple operating data points for each device and the weighting coefficient corresponding to each operating data point. As an example, each energy storage device may include multiple operating data points such as operating efficiency, state of charge, reliability score, cycle count, and overall performance score, and the weighting coefficients corresponding to operating efficiency, state of charge, reliability score, cycle count, and overall performance score are respectively... , , , as well as Furthermore, the priority of each energy storage device can be determined based on its operating efficiency, state of charge, reliability score, cycle count, and overall performance score, along with corresponding weighting coefficients. As an example, the priority of an energy storage device can be determined using the following expression:

[0120] (11)

[0121] in, The priority score is assigned to the i-th energy storage device. Based on this priority score, the priorities of multiple energy storage devices can be determined. Specifically, the energy storage devices are sorted from highest to lowest priority score to obtain the priorities of the multiple energy storage devices.

[0122] Furthermore, the power allocation scheme allocates power to each energy storage device according to its priority.

[0123] In the above implementation process, the priority of each energy storage device is determined based on the operating data of each energy storage device and the weight coefficient corresponding to each operating data. The mechanical energy weight of each energy storage device is then allocated according to the priority, which can effectively ensure that the energy storage devices with higher performance can be allocated power first.

[0124] In one example, allocating power to each energy storage device based on a power allocation scheme may include the following steps:

[0125] Step 1: Determine the power allocation period and the power allocation scheme within each power allocation period.

[0126] Step 2: Allocate power to each energy storage device based on the power allocation scheme within each power allocation cycle.

[0127] For example, during operation, the corresponding operating data of each energy storage device changes, and the optimal operating power also changes. Therefore, in order to ensure that each energy storage device in the energy storage power station operates at the optimal power over a long period, it is necessary to adjust the power allocated to each energy storage device according to the power allocation cycle. Specifically, the power allocation cycle of the energy storage power station is determined, and the corresponding power allocation scheme within the current power allocation cycle is determined according to the power allocation method of any of the aforementioned energy storage power stations. As an example, the power allocation cycle of the energy storage power station can be 5 seconds, that is, the operating data of each energy storage device is collected every 5 seconds, and the power allocation method of the energy storage power station in this application is executed once, and the currently determined power allocation scheme is allocated according to the current priority of each energy storage device, thereby realizing the dynamic optimization of the power allocation scheme of each energy storage device. It should be noted that this application only uses a 5-second power allocation cycle as an example for illustration. In practical applications, the power allocation cycle can also be 6 seconds or 7 seconds. This time can be adaptively set according to the actual situation and is not limited here.

[0128] In the above implementation process, the power allocation scheme of each energy storage device is adjusted according to the power allocation cycle, thereby realizing the dynamic optimization of the power allocation scheme of each energy storage device.

[0129] In one example, solving the power allocation objective function based on constraints to obtain the power allocation scheme for each energy storage device may include the following steps: if a feasible solution to the power allocation function cannot be obtained based on the constraints, then the backup power allocation scheme is determined as the power allocation scheme.

[0130] For example, if a feasible solution cannot be obtained during the process of solving the power allocation objective function based on the constraints, i.e., a power allocation scheme cannot be derived from the power allocation objective function, then a backup power allocation scheme can be determined as the current power allocation scheme for each energy storage device. Specifically, the backup power allocation scheme can be a scheme that allocates power equally among the energy storage devices, or a scheme that allocates power according to the capacity ratio of each energy storage device.

[0131] Furthermore, if a feasible solution to the power allocation objective function cannot be obtained based on the constraints, the server can also generate early warning information to remind managers to monitor each energy storage device and prevent malfunctions caused by the device not operating at its optimal power.

[0132] In the above implementation process, when a feasible solution cannot be obtained by solving the power allocation objective function through constraints, an alternative power allocation scheme is adopted to effectively avoid the problem of power allocation strategy failure.

[0133] Figure 3 This is a flowchart illustrating an application example of a power allocation method for an energy storage power station provided in an embodiment of this application. Figure 3 As shown, the process may include:

[0134] Step 301: Obtain the operating data of each energy storage device in the energy storage power station.

[0135] Specifically, operational data from each energy storage device in the energy storage power station can be obtained through the terminal. For example, the charge level of each energy storage device can be acquired in real time. In addition, data can be obtained from the battery management system (BMS) and energy management system (EMS) databases, and calculations can be performed. , , Data such as [list of data points]. It can also be based on the current charge level of each energy storage device. Calculate the corresponding and If the total number of energy storage devices in the energy storage power station is 3, then N=3.

[0136] Step 302: Receive power allocation instructions from the upper-level scheduling system.

[0137] Specifically, the upper-level scheduling system can send power allocation instructions, which include the status of the energy storage power station and the total power allocation amount. As an example, the power allocation instruction is... ,like If >0, it indicates that the current state of the energy storage station is charging. A value less than 0 indicates that the current state of the energy storage station is in a discharging state. Furthermore, the specific expression for the charge state function can be determined based on the state of the energy storage station. If a power allocation command is issued... If so, the current state of the energy storage power station is the discharge state.

[0138] Step 303: Construct the power allocation objective function and constraints.

[0139] Specifically, based on operational data, a power allocation objective function J can be constructed with the goal of maximizing the sum of the operating efficiency, state of charge, operational reliability, cycle life, and comprehensive performance indicators of all energy storage devices, and constraints can be established.

[0140] For example, because Then the specific expression of the charge state function If the maximum number of cycles for each energy storage device is 1500, the power allocation function can be simplified:

[0141] (12)

[0142] because <0, then Substituting it into equation (12) above, we get:

[0143]

[0144] It can make Then the power allocation objective function can be simplified to:

[0145] (13)

[0146] If the operating data of each energy storage device is as follows Figure 4 As shown, Figure 4 This application provides a schematic representation of the operating data of various energy storage devices in an energy storage power station. The weighting coefficients corresponding to the operating data of the energy storage devices are as follows: =0.30, =0.25, =0.20, =0.15, =0.10. Therefore, it can be determined according to... Figure 4The priority score for each energy storage device is determined by the operational data of each energy storage device and the corresponding weight coefficients for each operational data. Specifically:

[0147]

[0148] That is, K1(0.661)>K2(0.6205)>K3(0.5265), indicating that under the condition that other conditions remain unchanged, the overall performance of energy storage device 1 is optimal and the discharge power should be allocated first.

[0149] according to Figure 4 Based on the operational data, the constraints corresponding to the power allocation objective function can be determined, including:

[0150]

[0151] Step 304: Solve the power allocation objective function based on the constraints.

[0152] Specifically, the power allocation objective function can be solved using linear programming, quadratic programming, sequential quadratic programming, or the interior-point method, thereby obtaining the power allocation vector P=[P1,P2,P3]. For example, linear programming can be the simplex method or the interior-point method.

[0153] Step 305: Allocate power to each energy storage device according to its priority.

[0154] Energy storage device 1 has a K1 value of 0.661, the highest priority, and a maximum discharge capacity of 500kW. It will be allocated full power first. The remaining power to be allocated is: .

[0155] Energy storage device 2 has a K2 value of 0.6025, making it the second highest priority. Its maximum discharge capacity is 600kW, while the remaining standby power is... Within its capabilities, it can therefore allocate: .

[0156] Energy storage device 3 has a K3=0.5265, the lowest priority, but its remaining standby power is 0, therefore P3=0kW.

[0157] The final power allocation result is as follows: .

[0158] Step 306: Verify the allocation result.

[0159] Specifically, verify the total power: It conforms to the scheduling instructions;

[0160] Verification of power limits: The power allocated to each unit is within the allowable range.

[0161] Conclusion: The allocation scheme is effective and optimal. EMS will send power commands. The actuators of the corresponding energy storage devices 1 and 2 are issued. Energy storage device 3 is on standby during this cycle.

[0162] Step 307: Run in a loop.

[0163] Waiting for the next power allocation cycle, every 5 seconds, steps 301 to 306 are executed repeatedly, that is, the latest SOC and other operating data are collected, the new priority coefficient is calculated based on the latest operating data, and power allocation is redistributed, thereby achieving dynamic optimization.

[0164] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0165] Based on the same inventive concept, this application also provides a power distribution device for an energy storage power station to implement the power distribution method of the energy storage power station described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more power distribution device embodiments of energy storage power stations provided below can be found in the limitations of the power distribution method of energy storage power stations described above, and will not be repeated here.

[0166] In one exemplary embodiment, Figure 5 This is a schematic diagram of the structure of a power distribution device for an energy storage power station provided in an embodiment of this application, as shown below. Figure 5 As shown, the device includes:

[0167] Data acquisition module 501 is used to acquire the operating data of each energy storage device in the energy storage power station;

[0168] The function construction module 502 is used to construct a power allocation objective function based on the operating data, with the goal of maximizing the sum of the operating efficiency index, charge state index, operating reliability index, cycle life index and comprehensive performance index of all energy storage devices.

[0169] Constraint construction module 503 is used to construct constraint conditions based on power constraints and charge safety constraints;

[0170] The scheme determination module 504 is used to solve the power allocation objective function based on the constraints to obtain the power allocation scheme for each energy storage device.

[0171] The scheme allocation module 505 is used to allocate power to each energy storage device based on the power allocation scheme.

[0172] In one embodiment, the function construction module 502 is specifically used for:

[0173] The operational data includes the operating status, operating efficiency, state of charge, reliability score, number of cycles, and overall performance score of each energy storage device.

[0174] Based on the operating efficiency of each energy storage device and the power allocation variables of the corresponding energy storage device, construct the operating efficiency function of the corresponding energy storage device;

[0175] Based on the current operating status of the energy storage power station, the charge state of each energy storage device, and the power allocation variables of the corresponding energy storage device, a charge state function for the corresponding energy storage device is constructed.

[0176] Based on the reliability score of each energy storage device and the power allocation variables of the corresponding energy storage device, an operational reliability function for the corresponding energy storage device is constructed.

[0177] Based on the cycle count of each energy storage device and the power allocation variable of the corresponding energy storage device, a cycle lifetime function for the corresponding energy storage device is constructed.

[0178] Based on the comprehensive performance score of each energy storage device and the power allocation variables of the corresponding energy storage device, a comprehensive performance function of the corresponding energy storage device is constructed.

[0179] The power allocation objective function is generated with the goal of maximizing the sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and comprehensive performance function of all energy storage devices.

[0180] In one embodiment, the function construction module 502 is specifically used for:

[0181] Determine the weighting coefficients for operating efficiency, charge state, reliability score, cycle count, and overall performance score respectively;

[0182] The power allocation objective function is generated by taking the maximum value of the weighted sum of the function values ​​of the operating efficiency function, charge state function, reliability function, cycle life function, and comprehensive performance function of all energy storage devices and their corresponding weighting coefficients.

[0183] In one embodiment, the constraint construction module 503 is specifically used for:

[0184] Power constraints are determined based on total power balance constraints and upper and lower power limits for each energy storage device.

[0185] Based on the upper and lower limits of charge for each energy storage device, determine the charge safety constraints;

[0186] The constraints include power constraints and charge safety constraints.

[0187] In one embodiment, the scheme allocation module 505 is specifically used for:

[0188] Based on multiple operational data points for each energy storage device and the weighting coefficient corresponding to each operational data point, the priority of the corresponding energy storage device is determined.

[0189] Based on the power allocation scheme, power is allocated to each energy storage device according to the priority of each device.

[0190] In one embodiment, the scheme allocation module 505 is specifically used for:

[0191] Determine the power allocation period and the power allocation scheme within each power allocation period;

[0192] Power is allocated to each energy storage device based on the power allocation scheme within each power allocation cycle.

[0193] In one embodiment, the scheme determination module 504 is specifically used for:

[0194] If a feasible solution to the power allocation function cannot be obtained based on the constraints, then the backup power allocation scheme is determined as the power allocation scheme.

[0195] The various modules in the power distribution device of the aforementioned energy storage power station can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0196] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. Figure 6This is a schematic diagram of the internal structure of a computer device according to an embodiment of this application. The computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database can be used to store operating data of an energy storage power station. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a power distribution method for an energy storage power station.

[0197] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0198] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the power distribution method for the energy storage power station described in any of the above embodiments.

[0199] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the power distribution method for an energy storage power station as described in any of the above embodiments.

[0200] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0201] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0202] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0203] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method of power distribution for an energy storage power plant, characterized by, The method comprises: acquiring operation data of each energy storage device in an energy storage power station; based on the operation data, constructing a power distribution objective function with the maximum sum of operation efficiency indicators, state of charge indicators, operation reliability indicators, cycle life indicators and comprehensive performance indicators of all the energy storage devices as the target; constructing constraint conditions based on power constraints and charge safety constraints; solving the power distribution objective function based on the constraint conditions to obtain a power distribution scheme of the energy storage devices; power distribution of the energy storage devices based on the power distribution scheme.

2. The method of claim 1, wherein, The method comprises: The operation data comprises the operation state, operation efficiency, state of charge, reliability score, cycle number and comprehensive performance score of each energy storage device; constructing an operation efficiency function of each energy storage device based on the operation efficiency of the energy storage device and the power distribution variable of the corresponding energy storage device; constructing a state of charge function of each energy storage device based on the current operation state of the energy storage power station, the state of charge of each energy storage device and the power distribution variable of the corresponding energy storage device; constructing an operation reliability function of each energy storage device based on the reliability score of the energy storage device and the power distribution variable of the corresponding energy storage device; constructing a cycle life function of each energy storage device based on the cycle number of the energy storage device and the power distribution variable of the corresponding energy storage device; constructing a comprehensive performance function of each energy storage device based on the comprehensive performance score of the energy storage device and the power distribution variable of the corresponding energy storage device; maximizing the sum of the function values of the operation efficiency function, the state of charge function, the reliability function, the cycle life function and the comprehensive performance function of all the energy storage devices to generate the power distribution objective function.

3. The method of claim 2, wherein, The method comprises: determining the weight coefficients corresponding to the operation efficiency, the state of charge, the reliability score, the cycle number and the comprehensive performance score, respectively; maximizing the weighted sum of the function values of the operation efficiency function, the state of charge function, the reliability function, the cycle life function and the comprehensive performance function of all the energy storage devices and the corresponding weight coefficients to generate the power distribution objective function.

4. The method of claim 1, wherein, The method comprises: determining the power constraints based on the total power balance constraints and the power upper and lower limit constraints of each energy storage device; determining the charge safety constraints based on the charge upper and lower limit constraints of each energy storage device; The constraint conditions comprise the power constraints and the charge safety constraints.

5. The method according to any one of claims 1 to 4, characterized in that, The power allocation to the energy storage devices based on the power allocation scheme comprises: determining a priority of each energy storage device based on the operation data of the energy storage device and the weight coefficient corresponding to each operation data; allocating power to each energy storage device according to the priority of the energy storage device based on the power allocation scheme.

6. The method of claim 1, wherein, The power allocation to the energy storage devices based on the power allocation scheme comprises: determining a power allocation period and a power allocation scheme in each power allocation period; allocating power to each energy storage device based on the power allocation scheme in each power allocation period.

7. The method of claim 1, wherein, The solving of the power allocation objective function based on the constraint condition to obtain the power allocation scheme of each energy storage device comprises: if a feasible solution of the power allocation function cannot be obtained based on the constraint condition, determining a backup power allocation scheme as the power allocation scheme.

8. A power distribution apparatus for an energy storage power station, characterized by, The apparatus comprises: a data acquisition module configured to acquire operation data of each energy storage device in an energy storage power station; a function construction module configured to construct a power allocation objective function based on the operation data, with the objective of maximizing the sum of the operation efficiency indicator, the state of charge indicator, the operation reliability indicator, the cycle life indicator and the comprehensive performance indicator of all the energy storage devices; a constraint condition construction module configured to construct a constraint condition based on a power constraint and a charge safety constraint; a scheme determination module configured to solve the power allocation objective function based on the constraint condition to obtain a power allocation scheme of each energy storage device; a scheme allocation module configured to allocate power to each energy storage device based on the power allocation scheme. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 7.

Images