Energy storage power station performance evaluation method and device, computer equipment and storage medium

Abstract

The invention relates to an energy storage power station performance evaluation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring discharge energy data and on-grid discharge capacity data of an energy storage power station in an evaluation period; analyzing the discharge energy data, and determining a target discharge energy retention rate of the energy storage power station in the evaluation period; determining the actual discharge energy retention rate of the energy storage power station in the evaluation period according to the on-grid discharge capacity data and the target discharge energy retention rate; and determining a performance evaluation result of the energy storage power station according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate. By adopting the method, the accuracy of performance evaluation of the energy storage power station can be improved.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for evaluating the performance of an energy storage power station. Background Art

[0002] With the access of a high proportion of new energy and large-scale power electronic equipment, the absorption capacity, balancing capacity and carrying capacity of traditional power systems will face severe challenges. New energy storage is an effective means to alleviate the pressure of "ensuring supply, ensuring safety and promoting absorption" on the power system, and it is also a unique and indispensable flexibility resource for building a new power system.

[0003] At present, new energy storage maintains a trend of rapid development. For example, the number of energy storage power stations (such as electrochemical energy storage power stations) put into operation is gradually increasing. In order to improve the technical requirements for the performance monitoring level of energy storage power station equipment, it is necessary to reasonably evaluate the performance of energy storage power stations to ensure the quality and economy of energy storage power stations.

[0004] Typically, the performance of an energy storage station can be evaluated by its cycle life. However, during operation, the actual operating conditions of an energy storage station are complex, and the number of charge and discharge cycles is difficult to guarantee, making the performance evaluation of the energy storage station less accurate. Summary of the Invention

[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for evaluating the performance of an energy storage power station, which can improve the accuracy of evaluating the performance of the energy storage power station in order to address the above technical problems.

[0006] In a first aspect, the present application provides a method for evaluating the performance of an energy storage power station, comprising: obtaining discharge energy data and online discharge data of the energy storage power station during an evaluation period; analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station during the evaluation period; determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate; and determining a performance evaluation result of the energy storage power station based on a relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0007] In one embodiment, determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate includes: obtaining a preset curve representing the discharge energy retention rate and cumulative online discharge amount of the entire station; determining a target cumulative online discharge amount that matches the evaluation period based on the preset curve and the target discharge energy retention rate; and determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data, the target discharge energy retention rate, and the target cumulative online discharge amount.

[0008] In one embodiment, the method further includes: obtaining historical online discharge data of the energy storage power station in each historical evaluation period for at least one historical evaluation period before the evaluation period; determining the actual discharge energy retention rate of the energy storage power station in the evaluation period based on the online discharge data, the target discharge energy retention rate, and the target cumulative online discharge amount, including: determining the actual cumulative online discharge amount of the energy storage power station based on the online discharge data and each historical online discharge data; when the actual cumulative online discharge amount is greater than the target cumulative online discharge amount, obtaining the historical discharge energy retention rate and historical cumulative online discharge amount of the energy storage power station in a historical evaluation period before the evaluation period; and determining the actual discharge energy retention rate of the energy storage power station in the evaluation period based on the historical discharge energy retention rate, the historical cumulative online discharge amount, the actual cumulative online discharge amount, the target cumulative online discharge amount, and the target discharge energy retention rate.

[0009] In one embodiment, the method further includes: when the actual cumulative grid-connected discharge amount is less than the target cumulative grid-connected discharge amount, determining the target discharge energy retention rate as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0010] In one embodiment, analyzing the discharge energy data to determine the target discharge energy retention rate of the energy storage power station during the evaluation period includes: analyzing the discharge energy data to determine the actual discharge energy of the energy storage power station during the evaluation period; and determining the target discharge energy retention rate of the energy storage power station during the evaluation period based on the actual discharge energy and the discharge energy commitment value of the energy storage power station during the evaluation period.

[0011] In one embodiment, the method further includes: when the performance evaluation result indicates that the performance of the energy storage power station does not meet the promised quality assurance, outputting a compensation report for the energy storage power station; the compensation report includes compensation measures and the execution time of the compensation measures.

[0012] In a second aspect, the present application provides a performance evaluation device for an energy storage power station, the device comprising: an acquisition module for acquiring discharge energy data and online discharge data of the energy storage power station during an evaluation period; a determination module for analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station during the evaluation period; a processing module for determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate; and an analysis module for determining a performance evaluation result of the energy storage power station based on a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0013] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0014] Obtain the discharge energy data and on-grid discharge data of the energy storage power station during the evaluation period;

[0015] Analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station within the evaluation period;

[0016] determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate;

[0017] A performance evaluation result of the energy storage power station is determined according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0018] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0019] Obtain the discharge energy data and on-grid discharge data of the energy storage power station during the evaluation period;

[0020] Analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station within the evaluation period;

[0021] determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate;

[0022] A performance evaluation result of the energy storage power station is determined according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0023] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0024] Obtain the discharge energy data and on-grid discharge data of the energy storage power station during the evaluation period;

[0025] Analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station within the evaluation period;

[0026] determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate;

[0027] A performance evaluation result of the energy storage power station is determined according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0028] The above-described energy storage power station performance evaluation method, apparatus, computer device, computer-readable storage medium, and computer program product obtain the energy storage power station's discharge energy data and online discharge data during an evaluation period, analyze the discharge energy data, determine the energy storage power station's target discharge energy retention rate during the evaluation period, determine the energy storage power station's actual discharge energy retention rate during the evaluation period based on the online discharge data and the target discharge energy retention rate, and then determine the energy storage power station's performance evaluation result based on the relationship between the target discharge energy retention rate and the actual discharge energy retention rate. Thus, the performance of the energy storage power station can be evaluated from the perspective of analyzing the discharge energy data and online discharge data related to the energy storage power station. The discharge energy data and online discharge data related to the energy storage power station are related to the operating conditions of the energy storage power station. Therefore, when evaluating the discharge energy data and online discharge data related to the energy storage power station and determining the performance evaluation result for the energy storage power station, the accuracy of the energy storage power station performance evaluation can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 This is a diagram of an application environment of a method for evaluating the performance of an energy storage power station in one embodiment;

[0031] Figure 21. A flow chart of determining the actual discharge energy retention rate of an energy storage power station within an evaluation period based on online discharge data and a target discharge energy retention rate in one embodiment;

[0032] Figure 3 A schematic diagram of a preset curve representing the discharge energy retention rate of the entire station and the cumulative online discharge amount in one embodiment;

[0033] Figure 4 1. A flow chart illustrating, in one embodiment, determining the actual discharge energy retention rate of an energy storage power station within an evaluation period based on grid-connected discharge data, a target discharge energy retention rate, and a target cumulative grid-connected discharge amount.

[0034] Figure 5 Schematic diagram of a flow chart of a method for evaluating the performance of an energy storage power station in another embodiment;

[0035] Figure 6 This is a structural block diagram of an energy storage power station performance evaluation device in one embodiment;

[0036] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0038] At present, when the cycle life of an energy storage power station is used to evaluate the performance of an energy storage power station, the evaluation can be carried out with a guaranteed cycle life of N times, for example, N can be 6000 or other values. Taking into account that during the operation of an energy storage power station, the actual working conditions are complex and the number of charge and discharge cycles is difficult to guarantee, which makes the accuracy of the performance evaluation of the energy storage power station not high. Based on this, the present application can determine the actual discharge energy retention rate of the energy storage power station in each evaluation cycle based on the corresponding preset whole-station discharge energy retention rate and the cumulative online discharge energy curve while meeting the whole-station discharge energy retention rate of 50-80%, thereby realizing the performance evaluation of the energy storage power station in the evaluation cycle, ensuring the quality of the energy storage system equipment, and improving the economy of the energy storage power station, which has certain reference value and promotion value.

[0039] In view of this, if Figure 1 As shown, a flow chart of a method for evaluating the performance of an energy storage power station is provided. This method is described using a server in a performance evaluation system as an example. The server can be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services. Specifically, the method includes the following steps:

[0040] S102, obtaining the discharge energy data and grid-connected discharge data of the energy storage power station during the evaluation period.

[0041] The evaluation cycle represents the warranty period of the energy storage power station. The performance of the energy storage station can be assessed during each evaluation cycle to determine whether the performance meets the promised warranty requirements. For example, a storage station with a warranty period of 5-15 years requires that the station's discharge energy retention rate be maintained at 50%-80%, the station's charge and discharge power be 0.5P-1P, the number of daily charge and discharge cycles be 0.1-5, and the number of operating days per year be 1-365.

[0042] The energy storage station's discharge energy data refers to the discharge energy data measured after a full charge and full discharge. For example, the energy storage station's discharge energy data for the evaluation period can be obtained by performing a full charge and full discharge on the energy storage station at the last moment of the last day of the evaluation period. For example, taking the evaluation period of 2024 as an example, the energy storage station can be fully charged and fully discharged at 23:59 on December 31, 2024, to obtain the discharge energy data for the entire year.

[0043] The on-grid discharge data of an energy storage power station refers to the energy discharged from the energy storage station to the grid. This data may include the grid identifier of the discharged energy, the amount of discharged energy, the corresponding output time of the discharged energy, and other data. In some cases, the on-grid discharge data may be based on the on-grid power on the high-voltage side of the main transformer.

[0044] S104: Analyze the discharge energy data to determine the target discharge energy retention rate of the energy storage power station within the evaluation period.

[0045] The target discharge energy retention rate refers to the discharge energy retention rate that the energy storage power station should achieve during the evaluation period. That is, when the actual discharge energy retention rate of the energy storage power station during the evaluation period is greater than or equal to the target discharge energy retention rate, it indicates that the performance of the energy storage power station meets the promised quality assurance requirements.

[0046] In one embodiment, based on the mapping relationship between the power station discharge energy and the power station charge and discharge cycle number, the number of cycles matching the discharge energy data can be determined as the target number; the product of the target number and the average discharge energy retention rate can be determined as the discharge energy retention rate attenuation value; and the difference between the initial discharge energy retention rate and the discharge energy retention rate attenuation value can be determined as the target discharge energy retention rate of the energy storage power station during the evaluation period.

[0047] The initial discharge energy retention rate can be 100%, or a value greater than the expected discharge energy retention rate. The expected discharge energy retention rate refers to the discharge energy retention rate that the energy storage station should achieve after the last evaluation cycle. The discharge energy retention rate attenuation value refers to the attenuation value of the discharge energy retention rate under one cycle of the energy storage station. The average discharge energy retention rate refers to the average discharge energy retention rate corresponding to each cycle of the energy storage station while meeting the expected discharge energy retention rate. The average discharge energy retention rate is obtained based on the preset number of cycles and the expected discharge energy retention rate. For example, if the preset number of cycles is 6000 and the expected discharge energy retention rate is 50%-80%, taking the expected discharge energy retention rate of 60% as an example, the average discharge energy retention rate is 0.6 / 6000.

[0048] In one embodiment, the discharge energy data may be analyzed to determine the actual discharge energy of the energy storage power station during the evaluation period; based on the actual discharge energy and the discharge energy commitment value of the energy storage power station during the evaluation period, the target discharge energy retention rate of the energy storage power station during the evaluation period may be determined.

[0049] In some cases, the ratio between the actual discharge energy and the committed discharge energy value may be determined as the target discharge energy retention rate.

[0050] S106 , determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the grid-connected discharge data and the target discharge energy retention rate.

[0051] There is no limitation on the implementation method for determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the grid-connected discharge data and the target discharge energy retention rate. The following provides examples of possible implementation methods.

[0052] In one embodiment, for at least one historical evaluation period prior to the evaluation period, historical on-grid discharge data of the energy storage power station in each historical evaluation period is obtained; the actual cumulative on-grid discharge of the energy storage power station is determined based on the historical on-grid discharge data and the on-grid discharge data; based on a mapping relationship between the on-grid discharge amount and the energy adjustment coefficient, the energy adjustment coefficient that matches the actual cumulative on-grid discharge amount is determined as the target coefficient; and the product of the target discharge energy retention rate and the target coefficient is determined as the actual discharge energy retention rate of the energy storage power station in the evaluation period.

[0053] S108 , determining a performance evaluation result of the energy storage power station according to a relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0054] The number of evaluation cycles may be at least one, and for each evaluation cycle, the performance evaluation result of the corresponding energy storage power station may be output. Alternatively, the performance evaluation results corresponding to each evaluation cycle may be summarized and output in a table. The table may also include data such as the performance evaluation time, discharge energy data, and grid-connected discharge data of the energy storage power station corresponding to each evaluation cycle.

[0055] In one embodiment, when the actual discharge energy retention rate is greater than or equal to the target discharge energy retention rate, it indicates that the performance of the energy storage power station meets the promised quality assurance. The result indicating that the performance of the energy storage power station meets the promised quality assurance can be determined as the performance evaluation result of the energy storage power station.

[0056] In one embodiment, when the actual discharge energy retention rate is less than the target discharge energy retention rate, it indicates that the performance of the energy storage power station does not meet the promised quality assurance. The result indicating that the performance of the energy storage power station does not meet the promised quality assurance can be determined as the performance evaluation result of the energy storage power station.

[0057] In some cases, if the performance evaluation results indicate that the energy storage plant's performance does not meet the promised warranty, a compensation report for the energy storage plant can be generated. This compensation report is used to obtain liquidated damages from the bidder for the energy storage plant. The compensation report includes compensation measures and the implementation timeline. In other words, if the performance of the energy storage plant is inconsistent with the bidder's promised warranty, liquidated damages can be obtained from the bidder.

[0058] based on Figure 1 As shown, by acquiring the discharge energy data and online discharge data of the energy storage power station during the evaluation period and analyzing the discharge energy data, the target discharge energy retention rate of the energy storage power station during the evaluation period is determined. Based on the online discharge data and the target discharge energy retention rate, the actual discharge energy retention rate of the energy storage power station during the evaluation period is determined. Furthermore, based on the relationship between the target discharge energy retention rate and the actual discharge energy retention rate, the performance evaluation result of the energy storage power station is determined. Thus, the performance of the energy storage power station can be evaluated from the perspective of analyzing the discharge energy data and online discharge data related to the energy storage power station. The discharge energy data and online discharge data related to the energy storage power station are related to the operating conditions of the energy storage power station. Therefore, when evaluating the discharge energy data and online discharge data related to the energy storage power station and determining the performance evaluation result of the energy storage power station, the accuracy of the performance evaluation of the energy storage power station can be improved.

[0059] In one embodiment, the actual discharge energy retention rate of the energy storage power station during the evaluation period (i.e., S106) is determined based on the online discharge data and the target discharge energy retention rate. Figure 2 As shown, the following steps are included:

[0060] S202, obtaining a preset curve representing the discharge energy retention rate of the entire station and the cumulative grid-connected discharge amount.

[0061] The preset curve can be obtained based on experimental tests. Figure 3 As shown in the figure, a schematic diagram of a preset curve representing the discharge energy retention rate of the entire station and the cumulative on-grid discharge amount is provided. Figure 3 It can be seen that the expected discharge energy retention rate is 50%-80%, specifically 70%. At this time, the cumulative grid-connected discharge capacity is between 700,000MWh and 800,000MWh.

[0062] S204: Determine a target cumulative on-grid discharge amount that matches the evaluation period based on a preset curve and a target discharge energy retention rate.

[0063] The preset curve includes a mapping relationship between the discharge energy retention rate of the entire station and the cumulative online discharge amount. Based on the target discharge energy retention rate of the energy storage power station during the evaluation period, a target cumulative online discharge amount that matches the evaluation period can be obtained. The target cumulative online discharge amount refers to the online discharge amount of the energy storage power station during the evaluation period and the statistical value of the online discharge amount of the energy storage power station in at least one historical evaluation period before the evaluation period.

[0064] S206 , determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the grid-connected discharge amount data, the target discharge energy retention rate, and the target cumulative grid-connected discharge amount.

[0065] There is no limitation on the implementation method for determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the grid-connected discharge data, the target discharge energy retention rate, and the target cumulative grid-connected discharge. The following provides examples of possible implementation methods.

[0066] In one embodiment, historical online discharge data of the energy storage power station in at least one historical evaluation period before the evaluation period is obtained; based on the online discharge data of the energy storage power station in the evaluation period and the historical online discharge data, the actual cumulative online discharge of the energy storage power station is determined.

[0067] In some cases, when the difference between the target cumulative grid-connected discharge amount and the actual cumulative grid-connected discharge amount is greater than a preset value, the target discharge energy retention rate of the energy storage power station during the evaluation period is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0068] In one embodiment, when the difference between the target cumulative on-grid discharge amount and the actual cumulative on-grid discharge amount is less than or equal to a preset value, a deviation coefficient matching the difference is determined; and the product of the target discharge energy retention rate and the deviation coefficient is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0069] based on Figure 2 The content shown can improve the accuracy of the performance evaluation of the energy storage power station by combining the historical grid-connected discharge data of the energy storage power station and considering the impact of the historical grid-connected discharge data on the actual discharge energy retention rate.

[0070] In one embodiment, the actual discharge energy retention rate of the energy storage power station during the evaluation period (i.e., S206) is determined based on the online discharge data, the target discharge energy retention rate, and the target cumulative online discharge. The implementation method can be as follows: Figure 4 As shown, the following steps are included:

[0071] S402 : For at least one historical evaluation period before the evaluation period, obtain historical grid-connected discharge data of the energy storage power station in each historical evaluation period.

[0072] S404: Determine the actual cumulative on-grid discharge capacity of the energy storage power station based on the on-grid discharge capacity data and historical on-grid discharge capacity data.

[0073] The actual cumulative on-grid discharge refers to the on-grid discharge of the energy storage power station during the evaluation period and the statistical value of the on-grid discharge of the energy storage power station in at least one historical evaluation period before the evaluation period.

[0074] S406 , when the actual cumulative on-grid discharge amount is greater than the target cumulative on-grid discharge amount, obtaining the historical discharge energy retention rate and the historical cumulative on-grid discharge amount of the energy storage power station in a previous historical evaluation period of the evaluation period.

[0075] The historical discharge energy retention rate can be obtained by referring to the contents of S104. That is, the historical discharge energy retention rate refers to the target discharge energy retention rate corresponding to the previous historical evaluation cycle. The historical cumulative online discharge amount can be obtained by referring to the contents of S202 and S204. That is, the historical cumulative online discharge amount refers to the target cumulative online discharge amount corresponding to the previous historical evaluation cycle. Other methods can also be used to obtain the historical discharge energy retention rate and the historical cumulative online discharge amount.

[0076] S408 , determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the historical discharge energy retention rate, the historical cumulative grid-connected discharge amount, the actual cumulative grid-connected discharge amount, the target cumulative grid-connected discharge amount, and the target discharge energy retention rate.

[0077] Among them, the interpolation method can be used to combine the historical discharge energy retention rate, the historical cumulative grid-connected discharge amount, the actual cumulative grid-connected discharge amount, the target cumulative grid-connected discharge amount, and the target discharge energy retention rate to determine the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0078] Specifically, a first difference between the actual cumulative online discharge amount and the historical cumulative online discharge amount is determined; a second difference between the historical discharge energy retention rate and the target discharge energy retention rate is determined; a third difference between the target cumulative online discharge amount and the historical cumulative online discharge amount is determined; the product of the first difference and the second difference and the ratio of the third difference are determined as the discharge energy retention rate deviation value; and the difference between the historical discharge energy retention rate and the discharge energy retention rate deviation value is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0079] For example, taking the warranty year represented by the evaluation cycle as n, Y n-1 is the historical discharge energy retention rate of the entire station in year n-1, Q n ' is the actual cumulative on-grid discharge of the entire station in the nth year, Q n-1 Y is the historical cumulative on-grid discharge of the entire station in year n-1, n-1 Y is the historical discharge energy retention rate of the entire station in year n-1, n is the target discharge energy retention rate of the entire station in the nth year, Q n Y is the target cumulative on-grid discharge of the entire station in year n, n ' is the actual discharge energy retention rate of the entire station in the nth year, then Y n '=Y n-1 -(Q n '-Q n-1 )(Y n-1 -Y n ) / (Q n -O n-1 ).

[0080] In one embodiment, when the actual cumulative grid-connected discharge amount is less than the target cumulative grid-connected discharge amount, the target discharge energy retention rate is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0081] based on Figure 4 The content shown here combines the historical discharge energy retention rate and historical cumulative grid-connected discharge volume of the energy storage power station in the previous historical evaluation cycle. This allows for improved accuracy in evaluating the performance of the energy storage power station in the current evaluation cycle, while also considering the impact of adjacent historical evaluation cycles on the actual discharge energy retention rate of the current evaluation cycle.

[0082] Combining the above content, such as Figure 5As shown, a flow chart of a method for evaluating the performance of an energy storage power station is provided. The method is described by taking the application of the method to a server in a performance evaluation system as an example, and includes the following steps:

[0083] S502: Obtain discharge energy data and grid-connected discharge data of the energy storage power station during an evaluation period.

[0084] S504: Analyze the discharge energy data to determine the actual discharge energy of the energy storage power station during the evaluation period.

[0085] S506 : Determine a target discharge energy retention rate of the energy storage power station during the evaluation period based on the actual discharge energy and the discharge energy commitment value of the energy storage power station during the evaluation period.

[0086] S508: Obtain a preset curve representing the discharge energy retention rate of the entire station and the cumulative on-grid discharge amount.

[0087] S510: Determine a target cumulative on-grid discharge amount that matches an evaluation period based on a preset curve and a target discharge energy retention rate.

[0088] S512 , for at least one historical evaluation period before the evaluation period, obtaining historical grid-connected discharge data of the energy storage power station in each historical evaluation period.

[0089] S514: Determine the actual cumulative on-grid discharge capacity of the energy storage power station based on the on-grid discharge capacity data and historical on-grid discharge capacity data.

[0090] S516 , when the actual cumulative on-grid discharge amount is greater than the target cumulative on-grid discharge amount, obtaining a historical discharge energy retention rate and a historical cumulative on-grid discharge amount of the energy storage power station in a previous historical evaluation period of the evaluation period.

[0091] S518 , determining the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the historical discharge energy retention rate, the historical cumulative grid-connected discharge amount, the actual cumulative grid-connected discharge amount, the target cumulative grid-connected discharge amount, and the target discharge energy retention rate.

[0092] In one embodiment, when the actual cumulative grid-connected discharge amount is less than the target cumulative grid-connected discharge amount, the target discharge energy retention rate is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0093] S520 , determining a performance evaluation result of the energy storage power station according to a relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0094] S522 : When the performance evaluation result indicates that the performance of the energy storage power station does not meet the promised quality assurance, a compensation report for the energy storage power station is output.

[0095] Among them, the specific content of S502-S522 can be adapted to the description of the above content and will not be repeated here.

[0096] Based on the above content, the design of an electrochemical energy storage power station has a charge and discharge power of 0.5P, a charge and discharge frequency of 1.5 times per day, a quality assurance requirement of a discharge energy retention rate of 70%, and a guaranteed cumulative grid-connected power value of 762534MWh.

[0097] In some embodiments, when the energy storage power station operates under a first operating condition, the first operating condition indicates that the total discharge energy of the energy storage power station increases by 20,000 MWh annually. Table 1 provides a performance analysis table for the energy storage power station under the first operating condition. As can be seen from Table 1, the performance of the energy storage power station meets the promised warranty requirements every year during the ten-year warranty period.

[0098] Table 1

[0099]

[0100] In some embodiments, when the energy storage power station operates under the second operating condition, the second operating condition indicates that the total discharge energy of the energy storage power station increases by 20,000 MWh annually from the first to the ninth year, and in the tenth year, the total discharge energy of the energy storage power station increases to 50,000 MWh. Table 2 provides a performance analysis table of the energy storage power station under the second operating condition. As can be seen from Table 2, the performance of the energy storage power station meets the promised warranty requirements every year during the ten-year warranty period.

[0101] Table 2

[0102]

[0103] Table 3

[0104]

[0105] In some embodiments, when the energy storage power station operates under the third operating condition, the third operating condition indicates that the total discharge energy of the energy storage power station increases by 60,000 MWh annually from the first to the eighth year, and increases to 20,000 MWh in the ninth and tenth years. Table 3 provides a performance analysis of the energy storage power station under the third operating condition. As can be seen from Table 3, the performance of the energy storage power station meets the promised warranty requirements every year during the ten-year warranty period.

[0106] Based on the above content, it can be seen that the present application can utilize the actual operating data of the energy storage power station and adopt the interpolation method to evaluate the performance of the energy storage power station, thereby ensuring the quality of the energy storage power station and improving the economic efficiency of the energy storage power station.

[0107] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0108] Based on the same inventive concept, embodiments of the present application also provide an energy storage power station performance evaluation device for implementing the aforementioned energy storage power station performance evaluation method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the energy storage power station performance evaluation device provided below can be found in the above-mentioned limitations of the energy storage power station performance evaluation method and will not be further elaborated here.

[0109] In an exemplary embodiment, Figure 6 As shown, a device for evaluating the performance of an energy storage power station is provided, including: an acquisition module 602, a determination module 604, a processing module 606 and an analysis module 608, wherein:

[0110] The acquisition module 602 is used to obtain the discharge energy data and grid-connected discharge data of the energy storage power station during the evaluation period.

[0111] The determination module 604 is configured to analyze the discharge energy data and determine a target discharge energy retention rate of the energy storage power station within the evaluation period.

[0112] The processing module 606 is configured to determine an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the grid-connected discharge data and the target discharge energy retention rate.

[0113] The analysis module 608 is configured to determine a performance evaluation result of the energy storage power station according to a relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

[0114] In one embodiment, the processing module 606 is further used to: obtain a preset curve representing the discharge energy retention rate and cumulative online discharge amount of the entire station; determine the target cumulative online discharge amount that matches the evaluation period based on the preset curve and the target discharge energy retention rate; and determine the actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge amount data, the target discharge energy retention rate, and the target cumulative online discharge amount.

[0115] In one embodiment, the acquisition module 602 is further configured to acquire, for at least one historical evaluation period prior to the evaluation period, historical online discharge data of the energy storage power station in each of the historical evaluation periods; the processing module 606 is further configured to determine, based on the online discharge data and each of the historical online discharge data, an actual cumulative online discharge amount of the energy storage power station; if the actual cumulative online discharge amount is greater than the target cumulative online discharge amount, acquire a historical discharge energy retention rate and a historical cumulative online discharge amount of the energy storage power station in a historical evaluation period prior to the evaluation period; and determine, based on the historical discharge energy retention rate, the historical cumulative online discharge amount, the actual cumulative online discharge amount, the target cumulative online discharge amount, and the target discharge energy retention rate, an actual discharge energy retention rate of the energy storage power station in the evaluation period.

[0116] In one embodiment, the processing module 606 is further configured to: when the actual cumulative on-grid discharge amount is less than the target cumulative on-grid discharge amount, determine the target discharge energy retention rate as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

[0117] In one embodiment, the determination module 604 is further used to: analyze the discharge energy data to determine the actual discharge energy of the energy storage power station during the evaluation period; and determine the target discharge energy retention rate of the energy storage power station during the evaluation period based on the actual discharge energy and the discharge energy commitment value of the energy storage power station during the evaluation period.

[0118] In one embodiment, the processing module 606 is further configured to: output a compensation report for the energy storage power station when the performance evaluation result indicates that the performance of the energy storage power station does not meet the promised quality assurance; the compensation report includes compensation measures and the execution time of the compensation measures.

[0119] Each module in the aforementioned energy storage power station performance evaluation device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0120] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data such as online discharge data and discharge energy data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating the performance of an energy storage power station is implemented.

[0121] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0122] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0123] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0124] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0125] 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, stored data, displayed data, 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 relevant data must comply with relevant regulations.

[0126] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, 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 various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0127] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, 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.

[0128] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for evaluating the performance of an energy storage power station, characterized in that: The method comprises: Obtain the discharge energy data and on-grid discharge data of the energy storage power station during the evaluation period; Analyzing the discharge energy data to determine a target discharge energy retention rate of the energy storage power station within the evaluation period; determining an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge data and the target discharge energy retention rate; A performance evaluation result of the energy storage power station is determined according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

2. The method according to claim 1, characterized in that The determining, based on the online discharge data and the target discharge energy retention rate, the actual discharge energy retention rate of the energy storage power station during the evaluation period includes: Obtain a preset curve representing the discharge energy retention rate of the entire station and the cumulative on-grid discharge amount; Determining a target cumulative on-grid discharge amount matching the evaluation period based on the preset curve and the target discharge energy retention rate; An actual discharge energy retention rate of the energy storage power station during the evaluation period is determined based on the grid-connected discharge amount data, the target discharge energy retention rate, and the target cumulative grid-connected discharge amount.

3. The method according to claim 2, characterized in that The method further comprises: For at least one historical evaluation period before the evaluation period, obtaining historical on-grid discharge data of the energy storage power station in each of the historical evaluation periods; The determining, based on the on-grid discharge amount data, the target discharge energy retention rate, and the target cumulative on-grid discharge amount, of the actual discharge energy retention rate of the energy storage power station during the evaluation period includes: Determining the actual cumulative on-grid discharge amount of the energy storage power station based on the on-grid discharge amount data and the historical on-grid discharge amount data; When the actual cumulative on-grid discharge amount is greater than the target cumulative on-grid discharge amount, obtaining a historical discharge energy retention rate and a historical cumulative on-grid discharge amount of the energy storage power station in a previous historical evaluation period of the evaluation period; An actual discharge energy retention rate of the energy storage power station during the evaluation period is determined based on the historical discharge energy retention rate, the historical cumulative grid-connected discharge amount, the actual cumulative grid-connected discharge amount, the target cumulative grid-connected discharge amount, and the target discharge energy retention rate.

4. The method according to claim 3, characterized in that The method further comprises: When the actual cumulative grid-connected discharge amount is less than the target cumulative grid-connected discharge amount, the target discharge energy retention rate is determined as the actual discharge energy retention rate of the energy storage power station during the evaluation period.

5. The method according to claim 1, wherein The analyzing the discharge energy data to determine the target discharge energy retention rate of the energy storage power station within the evaluation period includes: Analyzing the discharge energy data to determine actual discharge energy of the energy storage power station during the evaluation period; A target discharge energy retention rate of the energy storage power station during the evaluation period is determined based on the actual discharge energy and a discharge energy commitment value of the energy storage power station during the evaluation period.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: When the performance evaluation result indicates that the performance of the energy storage power station does not meet the promised quality assurance, a compensation report for the energy storage power station is output; the compensation report includes compensation measures and the execution time of the compensation measures.

7. A performance evaluation device for an energy storage power station, characterized in that: The device comprises: An acquisition module is used to obtain the discharge energy data and online discharge data of the energy storage power station during the evaluation period; a determination module, configured to analyze the discharge energy data and determine a target discharge energy retention rate of the energy storage power station within the evaluation period; a processing module, configured to determine an actual discharge energy retention rate of the energy storage power station during the evaluation period based on the online discharge amount data and the target discharge energy retention rate; An analysis module is used to determine a performance evaluation result of the energy storage power station according to a magnitude relationship between the target discharge energy retention rate and the actual discharge energy retention rate.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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