Energy storage power station capability assessment method, device, equipment and storage medium

Abstract

The embodiment of the invention provides an energy storage power station capability evaluation method and device, equipment and a storage medium. The method comprises the following steps: acquiring power station data of an energy storage power station in a preset time period, wherein the power station data comprises rated electric quantity, available electric quantity, temperature parameters, a battery SOC state and a battery SOH state; according to the rated electric quantity and the available electric quantity, determining an available electric quantity change condition of the energy storage power station in the preset time period; based on the rated electric quantity, the available electric quantity change condition, a temperature parameter, a battery SOC state and a battery SOH state, the available electric quantity change condition is analyzed and processed, and a multi-dimensional analysis result is obtained; and determining the maximum capacity of the energy storage power station according to the multi-dimensional analysis result. According to the method, the reasons and the proportion of the electric quantity loss of the energy storage power station are deeply analyzed, and a theoretical basis and technical support are provided for the safety and the stability of operation of the energy storage power station.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a method, device, equipment and storage medium for evaluating the capacity of an energy storage power station. Background Art

[0002] In the field of energy storage, energy storage power stations play an important role. The application of energy storage power station technology runs through all aspects of power generation, transmission, distribution, and power consumption in the power system. It can achieve peak shaving and valley filling in the power system, smooth out fluctuations in renewable energy power generation and track planning, and efficiently regulate the system frequency, thereby improving power supply reliability.

[0003] At present, in practical applications, the method mostly uses the electric meter at the energy storage power station to obtain the chargeable and dischargeable capacity of the energy storage power station.

[0004] The existing methods lack analysis of the change in the capacity of the energy storage power station's available power from the initial operation to a period of use, as well as analysis of the causes of the change in the available power of the energy storage power station and the proportion of each factor, and thus cannot evaluate the maximum capacity of the current energy storage power station within the safe use range. Summary of the invention

[0005] The embodiments of the present application provide a method, device, equipment and storage medium for evaluating the capacity of an energy storage power station, so as to solve the problem in the prior art that there is a lack of analysis on the change of available power and the maximum capacity of the energy storage power station within a safe range cannot be accurately evaluated.

[0006] In a first aspect, the present application provides a method for evaluating the capacity of an energy storage power station, comprising:

[0007] Acquire power station data of the energy storage power station within a preset time period, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status;

[0008] Determine, based on the rated power and the available power, a change in the available power of the energy storage power station within the preset period, wherein the change in the available power is used to indicate a difference between the available power and the rated power;

[0009] Based on the rated power, the change in the available power, the temperature parameter, the battery SOC state and the battery SOH state, the change in the available power is analyzed and processed to obtain a multi-dimensional analysis result;

[0010] The maximum capacity of the energy storage power station is determined according to the multi-dimensional analysis results.

[0011] Optionally, the change in available power is analyzed and processed based on the rated power, the change in available power, the temperature parameter, the battery SOC state, and the battery SOH state to obtain a multidimensional analysis result, including:

[0012] Analyzing and processing the temperature parameter and the change of the available power to obtain a first influence degree of temperature on the available power;

[0013] Analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power;

[0014] Analyzing and processing the battery SOH state, the battery SOC state and the change in the available power to obtain a third degree of influence of the system health state on the available power;

[0015] The first influence degree, the second influence degree and the third influence degree are taken as the multidimensional analysis result.

[0016] Optionally, the analyzing and processing the temperature parameter and the change in the available power to obtain a first degree of influence of the temperature on the available power includes:

[0017] Get the mapping relationship between different temperatures and power;

[0018] Determine the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship;

[0019] Determine a first impact value of temperature on available power according to a difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature;

[0020] A first influence degree of temperature on the available power is determined according to the first influence value of the temperature on the available power and the change in the available power.

[0021] Optionally, the analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power includes:

[0022] Determining a discharge depth according to the battery SOC state;

[0023] determining a second available power according to the discharge depth and the available power, and determining a second impact value of the discharge depth on the available power according to a difference between the second available power and the available power;

[0024] A second influence degree of the discharge depth on the available power is determined according to the second influence value of the discharge depth on the available power and the change in the available power.

[0025] Optionally, analyzing and processing the battery SOH state, the battery SOC state, and the change in the available power to obtain a third degree of influence of the system health state on the available power includes:

[0026] Performing consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, wherein the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster and determine the degree of influence of the intra-cluster consistency of the same battery cluster on the health state of the system;

[0027] Performing consistency judgment on the battery SOC states of the plurality of battery clusters to obtain a second judgment result, wherein the second judgment result is used to indicate inter-cluster consistency of the plurality of battery clusters and determine the degree of influence of the inter-cluster consistency of the plurality of battery clusters on the health state of the system;

[0028] Analyze and process the battery SOH state to obtain the influence of system cell attenuation on the system health state;

[0029] The third degree of influence of the system health state on the available power is determined based on the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, the degree of influence of the system battery cell attenuation on the system health state, and the change in the available power.

[0030] Optionally, the performing consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, the first judgment result being used to indicate the intra-cluster consistency of the same battery cluster, and determining the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, includes:

[0031] Determining whether there is a battery in the same battery cluster whose battery SOC state deviates from a first preset confidence interval;

[0032] If so, the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state is determined according to the battery SOC state deviation degree of the battery.

[0033] Optionally, the performing consistency judgment on the SOC states of the multiple battery clusters to obtain a second judgment result, the second judgment result being used to indicate inter-cluster consistency of the multiple battery clusters, and determining the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, includes:

[0034] Determining whether there is a battery cluster among the plurality of battery clusters whose battery SOC state deviates from a second preset confidence interval;

[0035] If so, the influence degree of the inter-cluster consistency of the plurality of battery clusters on the system health state is determined according to the battery SOC state deviation degree of the battery cluster.

[0036] In a second aspect, the present application provides a device for evaluating the capacity of an energy storage power station, comprising:

[0037] An acquisition module is used to acquire power station data of the energy storage power station within a preset period of time, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status;

[0038] A determination module, used to determine the change of available power of the energy storage power station within the preset time period according to the rated power and the available power, wherein the change of available power is used to indicate the difference between the available power and the rated power;

[0039] A processing module, configured to analyze and process the change of the available power based on the rated power, the change of the available power, the temperature parameter, the battery SOC state and the battery SOH state to obtain a multi-dimensional analysis result;

[0040] The determination module is also used to determine the maximum capacity of the energy storage power station according to the multi-dimensional analysis results.

[0041] Optionally, the processing module is further used to analyze and process the temperature parameter and the change of the available power to obtain a first influence degree of temperature on the available power;

[0042] Analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power;

[0043] Analyzing and processing the battery SOH state, the battery SOC state and the change in the available power to obtain a third degree of influence of the system health state on the available power;

[0044] The determination module is further configured to use the first impact degree, the second impact degree and the third impact degree as the multi-dimensional analysis result.

[0045] Optionally, the acquisition module is further used to acquire a mapping relationship between different temperatures and electrical quantities;

[0046] The determination module is further configured to determine the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship;

[0047] Determine a first impact value of temperature on available power according to a difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature;

[0048] A first influence degree of temperature on the available power is determined according to the first influence value of the temperature on the available power and the change in the available power.

[0049] Optionally, the determination module is further used to determine the discharge depth according to the battery SOC state;

[0050] determining a second available power according to the discharge depth and the available power, and determining a second impact value of the discharge depth on the available power according to a difference between the second available power and the available power;

[0051] A second influence degree of the discharge depth on the available power is determined according to the second influence value of the discharge depth on the available power and the change in the available power.

[0052] Optionally, the device further comprises: a judgment module, configured to judge the consistency of the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, wherein the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster;

[0053] The determination module is further used to determine the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state;

[0054] The judgment module is further used to judge the consistency of the battery SOC states of the multiple battery clusters to obtain a second judgment result, wherein the second judgment result is used to indicate the inter-cluster consistency of the multiple battery clusters;

[0055] The determination module is further used to determine the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state;

[0056] The processing module is further used to analyze and process the battery SOH state to obtain the influence of system cell attenuation on the system health state;

[0057] The determination module is also used to determine the third degree of influence of the system health state on the available power based on the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, the degree of influence of the system battery cell attenuation on the system health state, and the change in the available power.

[0058] Optionally, the judgment module is further used to judge whether there is a battery in the same battery cluster whose battery SOC state deviates from the first preset confidence interval;

[0059] The determination module is further configured to determine the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state according to the degree of deviation of the battery SOC state of the battery in the same battery cluster when there is a battery whose battery SOC state deviates from the first preset confidence interval in the same battery cluster.

[0060] Optionally, the judgment module is further used to judge whether there is a battery cluster whose battery SOC state deviates from a second preset confidence interval among the multiple battery clusters;

[0061] The determination module is further configured to determine the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state according to the degree of deviation of the battery SOC state of the battery cluster when there is a battery cluster whose battery SOC state deviates from the second preset confidence interval among the multiple battery clusters.

[0062] In a third aspect, the present application provides an energy storage power station capacity assessment device, comprising:

[0063] Memory;

[0064] processor;

[0065] Wherein, the memory stores computer-executable instructions;

[0066] The processor executes the computer-executable instructions stored in the memory to implement the energy storage power station capacity assessment method as described in the above-mentioned first aspect and various possible implementations of the first aspect.

[0067] In a fourth aspect, the present application provides a computer storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the energy storage power station capacity assessment method as described in the first aspect and various possible implementations of the first aspect.

[0068] The present application provides a method, device, equipment and storage medium for evaluating the capacity of an energy storage power station. The method obtains the power station data of the energy storage power station within a preset time period, and the power station data includes: rated power, available power, temperature parameters, battery SOC status and battery SOH status; according to the rated power and available power, the change of available power of the energy storage power station within the preset time period is determined; based on the rated power, the change of available power, temperature parameters, battery SOC status and battery SOH status, the change of available power is analyzed and processed to obtain a multi-dimensional analysis result; according to the multi-dimensional analysis result, the maximum capacity of the energy storage power station is determined. The method of the present application conducts an in-depth analysis of the causes and proportions of power loss in energy storage power stations, and provides a theoretical basis and technical support for the safety and stability of the operation of energy storage power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0070] Figure 1 A method for evaluating the capacity of an energy storage power station provided in an embodiment of the present application Figure 1 ;

[0071] Figure 2 A method for evaluating the capacity of an energy storage power station provided in an embodiment of the present application Figure 2 ;

[0072] Figure 3 A schematic diagram of the structure of an energy storage power station capacity assessment device provided in this application;

[0073] Figure 4 A schematic diagram of the structure of an energy storage power station capacity assessment device provided in this application.

[0074] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0076] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0077] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0078] Energy storage power stations, as an important part of modern energy systems, are facilities that can store electrical energy and release it when needed. For electrochemical energy storage power stations, the working principle is to convert electrical energy into chemical energy through chemical reactions and store it in batteries. When electrical energy is needed, the chemical energy is converted into electrical energy through chemical reactions and released. However, the energy storage and release process of energy storage power stations is usually accompanied by battery attenuation, resulting in a reduction in the charge and discharge capacity of the energy storage power station. In addition, factors such as the operating temperature of the energy storage system and changes in consistency after a period of use will affect the actual discharge capacity of the entire station.

[0079] Most existing technologies obtain the rechargeable and discharging capacity of energy storage power stations by monitoring the meter data of energy storage power stations. There is a lack of analysis on the reasons for the change in the capacity of available electricity of energy storage power stations from the initial operation to a period of use. Therefore, it is impossible to accurately evaluate the maximum capacity of the current energy storage power station within the safe use range.

[0080] In response to the above problems existing in the prior art, the present application provides a method for evaluating the capacity of an energy storage power station. The method analyzes and processes the changes in the power of the energy storage power station within a preset period of time, obtains the degree of influence of various influencing factors on the actual available power of the energy storage power station, and then determines the maximum capacity of the energy storage power station within a safe range.

[0081] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0082] Figure 1 This is a method flow for evaluating the capacity of an energy storage power station provided in an embodiment of the present application. Figure 1 .like Figure 1 As shown, the energy storage power station capacity evaluation method provided in this embodiment includes:

[0083] S101: Acquire power station data of an energy storage power station within a preset time period, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status.

[0084] Among them, the rated power of the energy storage power station reflects the maximum storage capacity of the power station when it is designed, which can be calculated based on the initial configuration information of the energy storage power station. The available power reflects the actual amount of power available for dispatch and use by the energy storage power station, which can be calculated based on the voltage, current, time and other data measured on site.

[0085] It is understandable that temperature changes will cause changes in battery power. When the temperature drops, the available battery power will decrease, and when the temperature rises, the available battery power will increase. In the energy storage system, the effect of temperature on power needs to be taken into account in order to obtain the actual charging and discharging capacity. The battery SOC state refers to the state of charge of the battery, that is, the available state of the remaining power in the battery. The SOC value range is usually 0% to 100%. When SOC=0%, it means that the battery is fully discharged; when SOC=100%, it means that the battery is fully charged. The battery SOH state comprehensively reflects the battery's power, energy, charging and discharging power, etc., and is an important indicator for evaluating battery performance aging and remaining life. The SOH value range is usually 0% to 100%. As the battery ages, the SOH value will gradually decrease.

[0086] By collecting data such as the rated power, available power, temperature parameters, battery SOC status, and battery SOH status of the energy storage power station within a preset period of time, comprehensive monitoring and precise management of the power station's operating status can be achieved, providing data support for the efficient operation, maintenance decisions, and future planning of the power station.

[0087] S102: Determine, based on the rated power and the available power, changes in the available power of the energy storage power station within the preset time period.

[0088] It is understandable that, based on the rated power and actual available power of the energy storage power station, the change in the available power of the energy storage power station over a period of time can be further determined. Specifically, the rated power of the energy storage power station can be compared with the actual available power to further obtain the difference between the rated power and the actual power, and the specific difference between the rated power and the actual power indicates the change in the available power of the energy storage power station over a preset period of time.

[0089] Determining the change in available power of the energy storage power station within a preset period of time is helpful to understand the actual capacity of the energy storage power station, so as to conduct a specific analysis of the reasons causing the change in capacity in subsequent steps.

[0090] S103: Based on the rated power, the change in the available power, the temperature parameter, the battery SOC state and the battery SOH state, the change in the available power is analyzed and processed to obtain a multi-dimensional analysis result.

[0091] It can be understood that based on the rated power of the energy storage power station obtained in the above steps, the actual monitored changes in available power, temperature parameters, battery SOC status, battery SOH status and other data, the power analysis model is further used to conduct in-depth analysis and processing of the changes in available power of the energy storage power station in a specific period of time from dimensions such as temperature, discharge depth and system health status, thereby obtaining multi-dimensional analysis results.

[0092] Specifically, data analysis tools and techniques can be used to decompose the coupling factors that cause changes in power, further determine the impact of temperature, discharge depth and system health status on changes in available power, and obtain the specific impact values ​​and proportions of temperature, discharge depth and system health status on power changes.

[0093] By obtaining multi-dimensional analysis results, we can have a more comprehensive understanding of the operating status of the energy storage power station, providing strong data support for formulating scientific and reasonable operation and maintenance strategies and improving the overall efficiency of the power station.

[0094] S104: Determine the maximum capacity of the energy storage power station according to the multi-dimensional analysis result.

[0095] It is understandable that the discharge capacity of the energy storage power station will be affected by temperature, discharge depth and system health status. The specific impact values ​​and respective proportions of temperature, discharge depth and system health status on the change of available power of the energy storage power station obtained through the above steps can determine the maximum capacity of the current energy storage power station within a safe range without any optimization measures.

[0096] In practical applications, by evaluating the performance and determining the capacity of energy storage power stations, we can more accurately understand the actual operating conditions of energy storage power stations, provide strong data support for the operation and maintenance management, optimized scheduling and future planning of the power stations, and optimize the energy storage power stations by taking reasonable optimization measures to improve the charging and discharging capacity of the energy storage power stations.

[0097] An energy storage power station capacity assessment method provided in an embodiment of the present application, the method obtains power station data of the energy storage power station within a preset time period, the power station data including: rated power, available power, temperature parameters, battery SOC status, and battery SOH status; determines the change of available power of the energy storage power station within the preset time period according to the rated power and the available power; analyzes and processes the change of available power based on the rated power, the change of available power, temperature parameters, battery SOC status, and battery SOH status to obtain a multi-dimensional analysis result; determines the maximum capacity of the energy storage power station according to the multi-dimensional analysis result, and provides a theoretical basis and technical support for the safety and stability of the operation of the energy storage power station.

[0098] Figure 2 A method for evaluating the capacity of an energy storage power station provided in an embodiment of the present application Figure 2 This embodiment is in Figure 1 Based on the embodiment, a possible implementation method of the energy storage power station capacity evaluation method is described in detail. Figure 2 As shown, the method includes:

[0099] S201: Acquire power station data of an energy storage power station within a preset time period, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status.

[0100] Among them, step S201 is similar to the above step S101 and will not be repeated here.

[0101] S202: Determine, based on the rated power and the available power, a change in the available power of the energy storage power station within the preset time period, wherein the change in the available power is used to indicate a difference between the available power and the rated power.

[0102] Among them, step S202 is similar to the above step S102 and will not be repeated here.

[0103] S203: Obtain mapping relationships between different temperatures and power quantities.

[0104] The mapping relationship between temperature and battery power is usually obtained through experiments, that is, measuring the available power of the battery under different temperature conditions. The experimental data should cover various temperature ranges that the battery may encounter to ensure the accuracy and reliability of the results. In the experiment, the mapping relationship between temperature and power is obtained by recording the battery power data under each temperature condition and performing statistical analysis on the collected experimental data.

[0105] After obtaining the mapping relationship between the temperature and power of a single battery, the impact of temperature on the power of the entire station can be further analyzed to evaluate the degree of impact of temperature on the power of the entire station. Through this process, we can have a deeper understanding of the impact of temperature on battery performance and provide a scientific basis for the operation and maintenance management, performance optimization and performance evaluation of energy storage power stations.

[0106] S204: Determine the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship.

[0107] It is understandable that a specific temperature parameter is input into the established mapping model, and the corresponding available power is calculated according to the input temperature parameter. The power value can represent the energy storage capacity or discharge performance of the battery under the current temperature condition.

[0108] S205: Determine a first impact value of temperature on available power according to a difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature.

[0109] It can be understood that by comparing the available power value corresponding to the specific temperature parameter with the power value at the standard temperature, the difference between the available power value corresponding to the specific temperature parameter and the power value at the standard temperature can be obtained, and then the impact of temperature on the available power of the energy storage power station can be determined.

[0110] For example, the available power at 35°C is 110Ah, and the available power at a standard temperature (such as 25°C) is 100Ah, so the power difference is 10Ah.

[0111] S206: Determine a first impact degree of temperature on available power according to the first impact value of temperature on available power and the change in available power.

[0112] It can be understood that by comparing the specific impact value of temperature on the available power of the energy storage power station with the overall change value of the available power, the degree of impact of temperature on the available power can be obtained. Specifically, the impact value of temperature on the available power is divided by the overall change value of the available power to obtain a relative impact index, which reflects the proportion of the impact of temperature on the available power in the overall change of power.

[0113] S207: Determine the depth of discharge according to the battery SOC state.

[0114] Among them, the depth of discharge refers to the percentage of the rated capacity of the battery that has been discharged from the fully charged state to a certain moment.

[0115] It can be understood that the discharge depth is related to the SOC range. Specifically, during the battery discharge process, the corresponding discharge depth can be obtained by subtracting the lower limit of the battery SOC from the upper limit of the battery SOC.

[0116] S208: Determine a second available power according to the discharge depth and the available power, and determine a second impact value of the discharge depth on the available power according to a difference between the second available power and the available power.

[0117] It can be understood that the second available power can be obtained by dividing the available power by the discharge depth. The second available power refers to the theoretical power value that the battery should have at the discharge depth under the condition of standard temperature and no attenuation of the battery health status.

[0118] The specific impact of discharge depth on available power can be reflected by the difference between the theoretical power value and the actual available power. This impact value reflects the actual performance loss of the battery at different discharge depths.

[0119] Through this process, the loss of actual available power of the battery at different depths of discharge can be quantitatively evaluated, thereby optimizing the battery usage and maintenance strategy.

[0120] S209: Determine a second influence degree of the depth of discharge on the available power according to the second influence value of the depth of discharge on the available power and the change in the available power.

[0121] It can be understood that by comparing the specific impact value of the discharge depth on the available power of the energy storage power station with the overall change value of the available power, the impact degree of the discharge depth on the available power can be obtained. Specifically, the impact value of the discharge depth on the available power is divided by the overall change value of the available power to obtain a relative impact index, which reflects the proportion of the impact of the discharge depth on the available power in the overall change of power.

[0122] S210: Perform consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, where the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster and determine the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state.

[0123] It is understandable that the same battery cluster contains multiple batteries, and the inconsistency of the battery SOC state in the battery cluster will lead to increased performance differences between battery cells, which in turn leads to uneven energy distribution of the battery cells during the charging and discharging process, thereby affecting the overall performance of the battery cluster.

[0124] By monitoring the voltage, current, temperature and other key parameters of each battery in the same battery cluster, the battery SOC state evaluation model is used to quantitatively evaluate the SOC state of each battery. By calculating the difference in the SOC state of each battery in the same battery cluster, it is possible to determine whether the consistency of the SOC state of the batteries in the battery cluster meets the requirements based on the set threshold or standard.

[0125] In an optional embodiment, by determining whether there are batteries in the same battery cluster whose battery SOC states deviate from the first preset confidence interval, if there are batteries in the same battery cluster whose battery SOC states deviate from the first preset confidence interval, the degree of impact on the system health state is determined based on the degree of deviation of the battery SOC states.

[0126] The first preset confidence interval is set based on the SOC range of the battery when it is working normally, and is used to determine whether the SOC of the battery is within the normal range. If there is no battery in the same battery cluster whose SOC deviates from the first preset confidence interval, it means that the SOC state of the battery is within the normal range at this time. If the SOC state of a battery exceeds this interval, it is considered that the SOC state of the battery is deviated, and the greater the deviation, the greater the impact on the health of the system.

[0127] Based on the consistency judgment results within the cluster, targeted optimization suggestions can be put forward to optimize the battery management strategy, etc. Regular consistency checks on the battery cluster can help to promptly discover and deal with inconsistency issues to avoid accumulation of problems that lead to serious degradation of system performance.

[0128] S211: Perform consistency judgment on the SOC states of multiple battery clusters to obtain a second judgment result, where the second judgment result is used to indicate the inter-cluster consistency of the multiple battery clusters and determine the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state.

[0129] It can be understood that the inter-cluster consistency of battery clusters represents the performance difference between different battery clusters. Poor consistency will lead to uneven energy distribution during charging and discharging, which will in turn affect the performance of the entire energy storage power station.

[0130] The SOC status of the battery cluster as a whole can be further derived based on the SOC status of each battery in the same battery cluster. By comparing the SOC status of multiple battery clusters in the energy storage system, it is determined whether the inter-cluster consistency of multiple battery clusters meets the requirements based on the set threshold or standard.

[0131] In an optional embodiment, by determining whether there is a battery cluster among the multiple battery clusters whose battery SOC state deviates from the second preset confidence interval, if there is a battery cluster among the multiple battery clusters whose battery SOC state deviates from the second preset confidence interval, the degree of impact on the system health state is determined based on the degree of deviation of the SOC state of the battery cluster.

[0132] The second preset confidence interval is set based on the SOC state range when the battery cluster is working normally, and is used to determine whether the SOC state of the battery cluster is within the normal range. If there is no battery cluster in the energy storage system whose battery SOC state deviates from the second preset confidence interval, it means that the SOC state of the battery cluster is within the normal range at this time. If the SOC state of a battery cluster exceeds this interval, it is considered that the SOC state of the battery cluster is deviated, and the greater the deviation, the greater the impact on the health of the system.

[0133] Judging the consistency of the battery SOC states of multiple battery clusters and determining the degree of influence of the inter-cluster consistency of multiple battery clusters on the health status of the system can provide strong support for the maintenance and management of the battery clusters, thereby ensuring the reliability and stability of the energy storage system.

[0134] S212: Analyze and process the battery SOH status to obtain the influence of system cell attenuation on the system health status.

[0135] As you can understand, the battery SOH status characterizes the current battery's ability to store electrical energy relative to a new battery, and expresses the battery's state from the beginning to the end of its life in the form of a percentage. Battery aging is affected by many factors, including temperature, internal resistance, charge and discharge rate, discharge depth, cycle range, and charge and discharge cut-off voltage.

[0136] By analyzing the battery SOH status, the degree of battery cell attenuation can be quantified. The battery cell attenuation will directly affect the health status of the entire battery system. By monitoring and analyzing the battery cell SOH, the overall health status of the battery system can be evaluated.

[0137] S213: Determine the third degree of influence of the system health state on the available power based on the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, the degree of influence of the system battery cell attenuation on the system health state, and the change in the available power.

[0138] It can be understood that the system health status is affected by intra-cluster consistency, inter-cluster consistency and system cell attenuation. Based on the determined specific impact of intra-cluster consistency, inter-cluster consistency and cell attenuation on the system health status, the specific impact of the system health status on the change in the available power of the entire station is further derived in combination with the specific change in the available power of the energy storage power station.

[0139] By comprehensively evaluating intra-cluster consistency, inter-cluster consistency, system cell attenuation, and available power changes, the impact of system health status on available power can be accurately assessed.

[0140] S214: Taking the first influence degree, the second influence degree and the third influence degree as the multi-dimensional analysis result.

[0141] Among them, the first impact degree is used to indicate the impact of temperature on the actual available power of the energy storage power station, the second impact degree is used to indicate the impact of discharge depth on the actual available power of the energy storage power station, and the third impact degree is used to indicate the impact of system health status on the actual available power of the energy storage power station.

[0142] By obtaining the specific impact values ​​and overall proportions of temperature, discharge depth and system health status on the actual available power of the energy storage power station, it is helpful to determine the actual maximum capacity of the energy storage power station, and then take corresponding optimization measures to optimize the energy storage power station.

[0143] S215: Determine the maximum capacity of the energy storage power station according to the multi-dimensional analysis result.

[0144] Among them, step S215 is similar to the above-mentioned step S104 and will not be repeated here.

[0145] An energy storage power station capacity assessment method provided in an embodiment of the present application obtains a mapping relationship between different temperatures and power, determines the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship; determines a first impact value of temperature on the available power according to the difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature; determines a first impact degree of temperature on the available power according to the first impact value and the change in available power; determines a discharge depth according to the battery SOC state, determines a second available power according to the discharge depth and the available power, and determines a second impact value of the discharge depth on the available power according to the difference between the second available power and the available power; determines a second impact degree of the discharge depth on the available power according to the second impact value and the change in available power; and The consistency judgment of multiple battery SOC states within a battery cluster and the battery SOC states of multiple battery clusters is obtained to obtain the judgment result, and the influence of the intra-cluster consistency of the same battery cluster and the inter-cluster consistency of multiple battery clusters on the system health state is determined; the battery SOH state is analyzed and processed to obtain the influence of system battery cell attenuation on the system health state; according to the influence of intra-cluster consistency, inter-cluster consistency, system battery cell attenuation on the system health state and the change of available power, the third influence degree of the system health state on the available power is determined; the first influence degree, the second influence degree and the third influence degree are used as the multi-dimensional analysis results; according to the multi-dimensional analysis results, the maximum capacity of the energy storage power station is determined to provide a theoretical basis and technical support for the safety and stability of the operation of the energy storage power station.

[0146] Figure 3 This is a schematic diagram of the structure of a storage power station capacity evaluation device provided in this application. Figure 3 As shown, the energy storage power station capacity assessment device 300 provided in this embodiment includes:

[0147] The acquisition module 301 is used to acquire the power station data of the energy storage power station within a preset period of time, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status and battery SOH status;

[0148] The determination module 302 is used to determine the change of the available power of the energy storage power station within the preset period according to the rated power and the available power, wherein the change of the available power is used to indicate the difference between the available power and the rated power;

[0149] The processing module 303 is used to analyze and process the change of the available power based on the rated power, the change of the available power, the temperature parameter, the battery SOC state and the battery SOH state to obtain a multi-dimensional analysis result;

[0150] The determination module 302 is further used to determine the maximum capacity of the energy storage power station according to the multi-dimensional analysis result.

[0151] Optionally, the processing module 303 is further used to analyze and process the temperature parameter and the change of the available power to obtain a first influence degree of temperature on the available power;

[0152] Analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power;

[0153] Analyzing and processing the battery SOH state, the battery SOC state and the change in the available power to obtain a third degree of influence of the system health state on the available power;

[0154] The determination module 302 is further configured to use the first impact degree, the second impact degree and the third impact degree as the multi-dimensional analysis result.

[0155] Optionally, the acquisition module 301 is further used to acquire a mapping relationship between different temperatures and electrical quantities;

[0156] The determination module 302 is further configured to determine the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship;

[0157] Determine a first impact value of temperature on available power according to a difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature;

[0158] A first influence degree of temperature on the available power is determined according to the first influence value of the temperature on the available power and the change in the available power.

[0159] Optionally, the determination module 302 is further configured to determine a discharge depth according to the battery SOC state;

[0160] determining a second available power according to the discharge depth and the available power, and determining a second impact value of the discharge depth on the available power according to a difference between the second available power and the available power;

[0161] A second influence degree of the discharge depth on the available power is determined according to the second influence value of the discharge depth on the available power and the change in the available power.

[0162] Optionally, the device further includes: a judgment module 304, configured to perform consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, wherein the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster;

[0163] The determination module 302 is further used to determine the degree of influence of the intra-cluster consistency of the same battery cluster on the health state of the system;

[0164] The judgment module 304 is further used to judge the consistency of the battery SOC states of the multiple battery clusters to obtain a second judgment result, where the second judgment result is used to indicate the consistency between the multiple battery clusters;

[0165] The determination module 302 is further used to determine the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state;

[0166] The processing module 303 is further used to analyze and process the battery SOH state to obtain the influence of system cell attenuation on the system health state;

[0167] The determination module 302 is also used to determine the third degree of influence of the system health state on the available power based on the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, the degree of influence of the system battery cell attenuation on the system health state, and the change in the available power.

[0168] Optionally, the judging module 304 is further configured to judge whether there is a battery in the same battery cluster whose battery SOC state deviates from a first preset confidence interval;

[0169] The determination module 302 is further configured to determine the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state according to the degree of deviation of the battery SOC state of the battery in the same battery cluster when there is a battery whose battery SOC state deviates from the first preset confidence interval in the same battery cluster.

[0170] Optionally, the judging module 304 is further configured to judge whether there is a battery cluster among the multiple battery clusters whose battery SOC state deviates from a second preset confidence interval;

[0171] The determination module 302 is further configured to determine the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state according to the degree of deviation of the battery SOC state of the battery cluster when there is a battery cluster whose battery SOC state deviates from the second preset confidence interval among the multiple battery clusters.

[0172] This embodiment provides a device for evaluating the capacity of an energy storage power station, which can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be described in detail here.

[0173] Figure 4 This is a schematic diagram of the structure of a storage power station capacity assessment device provided in this application. Figure 4 As shown, the energy storage power station capability assessment device provided in the present application includes: a receiver 401 , a transmitter 402 , a processor 403 and a memory 404 .

[0174] Receiver 401, used for receiving instructions and data;

[0175] A transmitter 402, used for sending instructions and data;

[0176] Memory 404, for storing computer-executable instructions;

[0177] The processor 403 is used to execute the computer-executable instructions stored in the memory 404 to implement the various steps performed by the energy storage power station capacity evaluation method in the above embodiment. For details, please refer to the relevant description in the above 3 energy storage power station capacity evaluation method embodiments.

[0178] Optionally, the memory 404 may be independent or integrated with the processor 403 .

[0179] When the memory 404 is independently provided, the electronic device further includes a bus for connecting the memory 404 and the processor 403 .

[0180] The present application also provides a computer storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the energy storage power station capacity evaluation method executed by the above-mentioned energy storage power station capacity evaluation device is implemented.

[0181] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0182] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0183] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for evaluating the capacity of an energy storage power station, characterized in that: The method comprises: Acquire power station data of the energy storage power station within a preset time period, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status; Determine, based on the rated power and the available power, a change in the available power of the energy storage power station within the preset period, wherein the change in the available power is used to indicate a difference between the available power and the rated power; Based on the rated power, the change in the available power, the temperature parameter, the battery SOC state and the battery SOH state, the change in the available power is analyzed and processed to obtain a multi-dimensional analysis result; The maximum capacity of the energy storage power station is determined according to the multi-dimensional analysis results.

2. The method according to claim 1, characterized in that: The analysis and processing of the change in available power is performed based on the rated power, the change in available power, the temperature parameter, the battery SOC state, and the battery SOH state to obtain a multi-dimensional analysis result, including: Analyzing and processing the temperature parameter and the change of the available power to obtain a first influence degree of temperature on the available power; Analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power; Analyzing and processing the battery SOH state, the battery SOC state and the change in the available power to obtain a third degree of influence of the system health state on the available power; The first influence degree, the second influence degree and the third influence degree are taken as the multidimensional analysis result.

3. The method according to claim 2, characterized in that The analyzing and processing the temperature parameter and the change in the available power to obtain a first influence degree of the temperature on the available power includes: Get the mapping relationship between different temperatures and power; Determine the available power corresponding to the temperature parameter according to the temperature parameter and the mapping relationship; Determine a first impact value of temperature on available power according to a difference between the available power corresponding to the temperature parameter and the available power corresponding to the standard temperature; A first influence degree of temperature on the available power is determined according to the first influence value of the temperature on the available power and the change in the available power.

4. The method according to claim 2, characterized in that: The analyzing and processing the battery SOC state and the change in the available power to obtain a second influence degree of the discharge depth on the available power includes: Determining a discharge depth according to the battery SOC state; determining a second available power according to the discharge depth and the available power, and determining a second impact value of the discharge depth on the available power according to a difference between the second available power and the available power; A second influence degree of the discharge depth on the available power is determined according to the second influence value of the discharge depth on the available power and the change in the available power.

5. The method according to claim 2, characterized in that: The battery SOH state, the battery SOC state and the change in the available power are analyzed and processed to obtain a third degree of influence of the system health state on the available power, including: Performing consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, wherein the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster and determine the degree of influence of the intra-cluster consistency of the same battery cluster on the health state of the system; Performing consistency judgment on the battery SOC states of the plurality of battery clusters to obtain a second judgment result, wherein the second judgment result is used to indicate inter-cluster consistency of the plurality of battery clusters and determine the degree of influence of the inter-cluster consistency of the plurality of battery clusters on the health state of the system; Analyze and process the battery SOH state to obtain the influence of system cell attenuation on the system health state; The third degree of influence of the system health state on the available power is determined based on the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state, the degree of influence of the inter-cluster consistency of the multiple battery clusters on the system health state, the degree of influence of the system battery cell attenuation on the system health state, and the change in the available power.

6. The method according to claim 5, characterized in that The step of performing consistency judgment on the SOC states of multiple batteries in the same battery cluster to obtain a first judgment result, wherein the first judgment result is used to indicate the intra-cluster consistency of the same battery cluster and determine the degree of influence of the intra-cluster consistency of the same battery cluster on the health state of the system, includes: Determining whether there is a battery in the same battery cluster whose battery SOC state deviates from a first preset confidence interval; If so, the degree of influence of the intra-cluster consistency of the same battery cluster on the system health state is determined according to the battery SOC state deviation degree of the battery.

7. The method according to claim 5, characterized in that The step of performing consistency judgment on the SOC states of the plurality of battery clusters to obtain a second judgment result, wherein the second judgment result is used to indicate inter-cluster consistency of the plurality of battery clusters and determine the degree of influence of the inter-cluster consistency of the plurality of battery clusters on the health state of the system, includes: Determining whether there is a battery cluster among the plurality of battery clusters whose battery SOC state deviates from a second preset confidence interval; If so, the influence degree of the inter-cluster consistency of the plurality of battery clusters on the system health state is determined according to the battery SOC state deviation degree of the battery cluster.

8. A device for evaluating the capacity of an energy storage power station, characterized in that: The device comprises: An acquisition module is used to acquire power station data of the energy storage power station within a preset period of time, wherein the power station data includes: rated power, available power, temperature parameters, battery SOC status, and battery SOH status; A determination module, used to determine the change of available power of the energy storage power station within the preset time period according to the rated power and the available power, wherein the change of available power is used to indicate the difference between the available power and the rated power; A processing module, configured to analyze and process the change of the available power based on the rated power, the change of the available power, the temperature parameter, the battery SOC state and the battery SOH state to obtain a multi-dimensional analysis result; The determination module is also used to determine the maximum capacity of the energy storage power station according to the multi-dimensional analysis results.

9. A device for evaluating the capacity of an energy storage power station, characterized in that: The device comprises: Memory; processor; Wherein, the memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement a method for evaluating the capacity of an energy storage power station according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer execution instructions, which, when executed by a processor, are used to implement a method for evaluating the capacity of an energy storage power station as described in any one of claims 1 to 7.

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