Modular energy storage converter control method and system

Abstract

The invention provides a modular energy storage converter control method and system, and belongs to the technical field of power systems, and the method specifically comprises the steps: obtaining the historical fault data of different modular energy storage converters in the process of responding to energy storage adjustment, determining the number of standby modular energy storage converters of an energy storage system based on the historical fault data, with the number of the standby modular energy storage converters as a constraint condition, the standby modular energy storage converters are determined based on the change conditions of the discharge curves of different modular energy storage converters under different discharge powers; according to the method, the standby modularized energy storage converter is used as a standby modularized energy storage converter, the input modularized energy storage converter is determined according to the historical cycle data of the energy storage battery corresponding to the standby modularized energy storage converter, and when the input modularized energy storage converter breaks down, the standby modularized energy storage converter is put into use, so that the working stability of the energy storage system is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a modular energy storage converter control method and system. Background Art

[0002] As the capacity of energy storage systems increases, more and more energy storage systems are designed in a modular manner. This reduces the difficulty of building and processing energy storage systems, but also makes the structure of the converter of the energy storage system increasingly complex.

[0003] Therefore, in order to realize the control processing of the converter of the energy storage system, in the invention patent application CN202411514662.0 "A method and system for controlling energy storage converters based on intelligent integrated energy management", an on-grid and off-grid conversion signal is generated according to the on-grid and off-grid diagnosis result, and the energy storage converter performs on-grid and off-grid operations according to the on-grid and off-grid conversion signal, thereby realizing the rapid execution of on-grid and off-grid operation response of the energy storage converter, effectively reducing energy consumption, and providing energy storage for the load in a timely manner. However, the above technical solution has the following defects: For modular energy storage inverters, power modules, DC modules, control modules, communication modules, cooling modules and measurement modules are often set separately. Therefore, how to use the historical fault data of the energy storage inverter to determine the setting data of the standby energy storage inverter during the energy storage adjustment process and reduce the impact of sudden faults on the working stability of the energy storage system and the working safety of the energy storage inverter has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a modular energy storage converter control method and system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, in a first aspect, the present application provides a modular energy storage converter control method, which specifically includes: S1 determines the deviation of the discharge curve of the energy storage battery corresponding to different modular energy storage converters in the energy storage system under the current remaining capacity, and when the deviation of the discharge curve of different modular energy storage converters meets the requirements, proceeds to the next step; S2 proceeds to the next step when it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter based on the historical cycle data of the energy storage battery corresponding to the modular energy storage inverter; S3 obtains historical fault data of different modular energy storage converters in response to energy storage regulation, and determines the number of standby modular energy storage converters of the energy storage system based on the historical fault data; S4 takes the number of the spare modular energy storage inverters as a constraint condition, and determines the spare modular energy storage inverter based on the changes in the discharge curves of different modular energy storage inverters under different discharge powers, so as to determine the modular energy storage inverter to be put into use by removing the historical cycle data of the energy storage battery corresponding to the spare modular energy storage inverter, and when the put into use modular energy storage inverter fails, the spare modular energy storage inverter is put into use.

[0006] The beneficial effects of the present invention are: The historical cycle data of the energy storage battery corresponding to the modular energy storage inverter is used to determine whether a preset control strategy can be used for the energy storage response of the modular energy storage inverter, thereby ensuring that the energy storage system of the energy storage battery with a small number of historical cycles can adopt the preset control strategy for energy storage response, that is, all of them are put into use, so that the discharge pressure of different modular energy storage inverters is effectively controlled. At the same time, it also avoids the impact of all being put into use on the service life of the energy storage battery when the number of historical cycles is large, thereby ensuring the operation safety and stability of the energy storage system.

[0007] Based on the changes in discharge curves of different modular energy storage inverters under different discharge powers, the spare modular energy storage inverter is determined, and the screening of spare modular energy storage inverters with less changes in discharge curves under different discharge powers is achieved, ensuring that the spare modular energy storage inverters can be put into use in time under different discharge powers, further reducing the impact of the failure of the energy storage inverter on the operating reliability of the overall energy storage system.

[0008] A further technical solution is that the discharge curve of the energy storage battery at the current remaining capacity is determined according to the historical discharge curve of the energy storage battery within the capacity interval where the current remaining capacity is located.

[0009] A further technical solution is to determine whether the deviation of the discharge curves of different modular energy storage converters meets the requirements, specifically including: Based on the remaining capacity of the energy storage batteries corresponding to different modular energy storage converters, determine the historical discharge curves of different energy storage batteries within the capacity range where the remaining capacity is located; Based on the historical discharge curves of different energy storage batteries in the capacity interval where the remaining capacity is located, the deviations of the historical discharge curves of different energy storage batteries in different historical discharge times and the benchmark discharge curves in the capacity interval are determined, and the proportion of historical discharge times that do not meet the requirements is taken as the proportion of deviation times; Determine the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries according to the deviation of the benchmark discharge curve between different energy storage batteries in the capacity interval where the remaining capacity is located; Whether the deviation of the discharge curves of different modular energy storage converters meets the requirements is determined based on the proportion of the deviation times of different energy storage batteries and the average value of the curve deviation coefficients of the benchmark discharge curves between different energy storage batteries.

[0010] A further technical solution is that the curve deviation coefficient of the reference discharge curve is determined according to the deviation of the image formed by the reference discharge curve.

[0011] A further technical solution is that the method for determining the modular energy storage converter to be put into use is: The modular energy storage converter except the standby modular energy storage converter is used as the target energy storage converter; The target energy storage converter whose historical cycle number is within a preset cycle number range is used as the modular energy storage converter to be put into use.

[0012] A further technical solution is to put the standby modular energy storage converter into use, specifically including: Determine the number of modular energy storage converters that have failed and use them as backup units; Determine the average value of the deviation coefficient by taking the average value of the curve deviation coefficient of the historical discharge curve of the standby modular energy storage converter between different discharge powers; Obtain the historical cycle numbers of energy storage batteries corresponding to different standby modular energy storage inverters, and determine the adaptation coefficients of different standby modular energy storage inverters in combination with the average values ​​of the deviation coefficients of different standby modular energy storage inverters, and use the adaptation coefficients to determine the investment target of the standby modular energy storage inverter.

[0013] A further technical solution is that the method for determining the adaptation coefficient is: The ratio of the deviation coefficient average value to the historical cycle number is used as the adaptation coefficient of the standby modular energy storage converter. A further technical solution is that the standby modular energy storage converter investment target is the standby modular energy storage converter with the largest standby investment quantity of adaptation coefficient.

[0014] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned modular energy storage inverter control method when running the computer program.

[0015] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0018] Figure 1 is a flow chart of a modular energy storage converter control method; Figure 2 It is a flow chart for determining whether the deviation of the discharge curves of different modular energy storage converters meets the requirements; Figure 3 is a flow chart for determining that a preset control strategy cannot be used to perform an energy storage response of the modular energy storage converter; Figure 4 is a flow chart of a method for determining the number of spare modular energy storage converters of an energy storage system; Figure 5 The present invention is a flow chart of a method for determining a spare modular energy storage converter. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0020] In the present application, the fault conditions of different modular energy storage inverters of the energy storage system are used to determine the number of spare modular energy storage inverters in the energy storage regulation process, and when a fault occurs in the energy storage regulation process, the spare modular energy storage inverter is used to replace it and continue the energy storage regulation process.

[0021] The curve deviation coefficients of the discharge curves between different modular energy storage inverters are determined based on the proportion of the number of nodes with deviations in the discharge curves of different modular energy storage inverters. When the average value of the curve deviation coefficients of the discharge curves between different modular energy storage inverters is greater than 0.4, it is determined that the deviation does not meet the requirements.

[0022] When the proportion of energy storage batteries with a historical cycle number of more than 200 times is greater than 0.3, it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter.

[0023] Based on historical fault data, the percentage of energy storage batteries with historical fault times greater than 10 times is determined, and the percentage is used to determine the number of spare modular energy storage converters in the energy storage system. Specifically, when the percentage is 0.6, the number of spare modular energy storage converters is 0.6 times 10, which is 6.

[0024] The modular energy storage converters having the smallest average value of curve deviation coefficients of discharge curves between different discharge powers are selected as the spare modular energy storage converters.

[0025] Embodiment 1 like Figure 1 As shown, the present application provides a modular energy storage converter control method, which specifically includes: S1 determines the deviation of the discharge curve of the energy storage battery corresponding to different modular energy storage converters in the energy storage system under the current remaining capacity, and when the deviation of the discharge curve of different modular energy storage converters meets the requirements, proceeds to the next step; S2 proceeds to the next step when it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter based on the historical cycle data of the energy storage battery corresponding to the modular energy storage inverter; S3 obtains historical fault data of different modular energy storage converters in response to energy storage regulation, and determines the number of standby modular energy storage converters of the energy storage system based on the historical fault data; S4 takes the number of the spare modular energy storage inverters as a constraint condition, and determines the spare modular energy storage inverter based on the changes in the discharge curves of different modular energy storage inverters under different discharge powers, so as to determine the modular energy storage inverter to be put into use by removing the historical cycle data of the energy storage battery corresponding to the spare modular energy storage inverter, and when the put into use modular energy storage inverter fails, the spare modular energy storage inverter is put into use.

[0026] Furthermore, the discharge curve of the energy storage battery at the current remaining capacity is determined according to the historical discharge curve of the energy storage battery within the capacity interval where the current remaining capacity is located.

[0027] Specifically, Figure 2 As shown, it is determined that the deviation of the discharge curves of different modular energy storage converters meets the requirements, specifically including: Based on the remaining capacity of the energy storage batteries corresponding to different modular energy storage converters, determine the historical discharge curves of different energy storage batteries within the capacity range where the remaining capacity is located; Based on the historical discharge curves of different energy storage batteries in the capacity interval where the remaining capacity is located, the deviations of the historical discharge curves of different energy storage batteries in different historical discharge times and the benchmark discharge curves in the capacity interval are determined, and the proportion of historical discharge times that do not meet the requirements is taken as the proportion of deviation times; Determine the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries according to the deviation of the benchmark discharge curve between different energy storage batteries in the capacity interval where the remaining capacity is located; Whether the deviation of the discharge curves of different modular energy storage converters meets the requirements is determined based on the proportion of the deviation times of different energy storage batteries and the average value of the curve deviation coefficients of the benchmark discharge curves between different energy storage batteries.

[0028] It should be noted that the curve deviation coefficient of the reference discharge curve is determined according to the deviation of the image formed by the reference discharge curve.

[0029] It can be understood that the deviation ratio of different energy storage batteries and the average value of the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries are used to determine whether the deviation of the discharge curve of different modular energy storage converters meets the requirements, specifically including: The discharge curve deviation is determined by multiplying the average value of the deviation times of different energy storage batteries by the average value of the curve deviation coefficients of the reference discharge curves between different energy storage batteries; When the discharge curve deviation is within a preset deviation range, it is determined that the deviation of the discharge curves of different modular energy storage converters does not meet the requirements; When the discharge curve deviation is not within the preset deviation range, it is determined that the deviations of the discharge curves of different modular energy storage converters meet the requirements.

[0030] Specifically, when the deviation of the discharge curves of different modular energy storage inverters does not meet the requirements, the modular energy storage inverters whose deviation times account for a preset proportion range are used as screening inverters, and the screening inverters are freely combined to generate multiple inverter groups. The modular energy storage inverters to be put into use are determined with the goal of minimizing the average value of the curve deviation coefficients of the benchmark discharge curves of the different modular energy storage inverters in the inverter group.

[0031] In another possible embodiment, determining whether the deviation of the discharge curves of different modular energy storage converters meets the requirements specifically includes: Based on the remaining capacity of the energy storage batteries corresponding to different modular energy storage converters, determine the historical discharge curves of different energy storage batteries within the capacity range where the remaining capacity is located; Determine the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries according to the deviation of the benchmark discharge curve between different energy storage batteries in the capacity interval where the remaining capacity is located; Whether the deviations of the discharge curves of different modular energy storage converters meet the requirements is determined by taking the average values ​​of the curve deviation coefficients of the reference discharge curves between different energy storage batteries.

[0032] Further, when the average value of the curve deviation coefficients of the reference discharge curves between different energy storage batteries is greater than a preset deviation coefficient threshold, it is determined that the deviations of the discharge curves of different modular energy storage converters do not meet the requirements.

[0033] Optionally, determining whether the deviation of the discharge curves of different modular energy storage converters meets the requirements specifically includes: Determine the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries according to the deviation of the benchmark discharge curve between different energy storage batteries in the capacity interval where the remaining capacity is located. When the average value of the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries does not meet the requirements, it is determined that the deviation of the discharge curve of different modular energy storage converters does not meet the requirements. When the average value of the curve deviation coefficients of the benchmark discharge curves between different energy storage batteries meets the requirements: Based on the curve deviation coefficient of the reference discharge curve between other energy storage batteries, determine the number of other energy storage batteries whose curve deviation coefficients of different energy storage batteries do not meet the requirements, and use them as the number of deviation batteries. When the number of energy storage batteries whose deviation battery number is greater than the preset deviation battery number does not meet the requirements, it is determined that the deviation of the discharge curve of different modular energy storage converters does not meet the requirements; When the number of deviation batteries is greater than the preset number of deviation batteries, the number of energy storage batteries meets the requirement: Based on the remaining capacity of the energy storage batteries corresponding to different modular energy storage converters, determine the historical discharge curves of different energy storage batteries within the capacity range where the remaining capacity is located; Based on the historical discharge curves of different energy storage batteries in the capacity interval where the remaining capacity is located, the deviations of the historical discharge curves of different energy storage batteries in different historical discharge times and the reference discharge curves of the capacity interval are determined, and the proportion of the historical discharge times that do not meet the requirements is taken as the deviation times proportion. When the number of energy storage batteries whose deviation times proportion is greater than the preset times proportion does not meet the requirements, it is determined that the deviations of the discharge curves of different modular energy storage converters do not meet the requirements; When the number of energy storage batteries with a deviation ratio greater than the preset ratio meets the requirement: Determine the curve deviation of different energy storage batteries by using the curve deviation coefficient from other energy storage batteries, and determine the adjustment deviation coefficient of different energy storage batteries in combination with the deviation frequency ratio of different energy storage batteries. When the number of energy storage batteries with the adjustment deviation coefficient greater than the preset deviation coefficient threshold does not meet the requirements, it is determined that the deviation of the discharge curve of different modular energy storage inverters does not meet the requirements. When the number of energy storage batteries whose adjustment deviation coefficient is greater than the preset deviation coefficient threshold meets the requirement: The comprehensive deviation coefficient is determined by using the adjustment deviation coefficients of different energy storage batteries, and the comprehensive deviation coefficient is used to determine whether the deviation of the discharge curves of different modular energy storage converters meets the requirements.

[0034] Furthermore, the historical cycle data of the energy storage battery includes the historical cycle times of the energy storage battery and the cycle depths of different historical cycle times.

[0035] It should be noted that if Figure 3 As shown, determining that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage converter specifically includes: Determine the historical cycle numbers of different energy storage batteries using the historical cycle data of the energy storage batteries corresponding to the modular energy storage converter; Determine a fatigue energy storage battery in the energy storage battery according to the historical cycle number; Based on the proportion of the fatigue energy storage batteries in the energy storage batteries, it is determined whether a preset control strategy can be adopted to perform energy storage response of the modular energy storage converter.

[0036] Furthermore, the fatigue energy storage battery is an energy storage battery whose historical cycle number is greater than a preset cycle number threshold.

[0037] It is understandable that when the proportion of the fatigue energy storage batteries in the energy storage batteries is greater than the proportion of the preset battery quantity, it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter.

[0038] Specifically, the preset control strategy is to use all modular energy storage converters to perform energy storage response processing.

[0039] In another possible embodiment, determining that a preset control strategy cannot be used to perform energy storage response of the modular energy storage converter specifically includes: Determine the historical cycle numbers of different energy storage batteries using the historical cycle data of the energy storage batteries corresponding to the modular energy storage converter; Determining the number of historical cycles whose cycle depth is greater than a preset cycle depth based on cycle depths of different historical cycle numbers; Based on the average value of the historical cycle times of different energy storage batteries having cycle depths greater than a preset cycle depth, it is determined whether a preset control strategy can be adopted to perform energy storage response of the modular energy storage converter.

[0040] Furthermore, when the cycle depth of different energy storage batteries is greater than the preset cycle depth and the average value of the historical cycle times does not meet the requirement, it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter.

[0041] Optionally, determining that a preset control strategy cannot be used to perform energy storage response of the modular energy storage converter specifically includes: Determine the historical cycle numbers of different energy storage batteries using the historical cycle data of the energy storage battery corresponding to the modular energy storage inverter, and when the historical cycle numbers of different energy storage batteries are all within a preset cycle number range, determine that a preset control strategy can be used to perform energy storage response of the modular energy storage inverter; When there is an energy storage battery whose historical cycle count is not within the preset cycle count range: Obtaining the proportion of energy storage batteries whose historical cycle counts are not within a preset cycle count interval, and when the proportion of energy storage batteries whose historical cycle counts are not within the preset cycle count interval does not meet the requirement, determining that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage converter; When the proportion of energy storage batteries whose historical cycle times are not within the preset cycle time range meets the requirements: Determine the number of historical cycles in which the cycle depth of the energy storage battery is greater than a preset cycle depth based on the cycle depths of different energy storage batteries in different historical cycle numbers; when the sum of the number of historical cycles in which the cycle depths of different energy storage batteries are greater than the preset cycle depth does not meet the requirement, determine that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter; When the cycle depth of different energy storage batteries is greater than the sum of the historical cycle times of the preset cycle depth and meets the requirements: Determine the deep cycle batteries in the energy storage batteries based on the number of historical cycles in which the cycle depths of different energy storage batteries are greater than the preset cycle depths; when the proportion of the number of deep cycle batteries in the energy storage batteries does not meet the requirement, determine that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter; When the proportion of deep cycle batteries in the energy storage battery meets the requirements: Determine the usage fatigue coefficients of different energy storage batteries based on the historical cycle numbers and cycle depths of different historical cycle numbers. When the proportion of energy storage batteries whose usage fatigue coefficients do not meet the requirements is greater than the proportion of the preset battery quantity, it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter. When the proportion of energy storage batteries whose fatigue coefficients do not meet the requirements is not greater than the proportion of the preset number of batteries: The comprehensive fatigue coefficient of the energy storage system is determined based on the usage fatigue coefficients of different energy storage batteries, and the comprehensive fatigue coefficient is used to determine whether the energy storage system adopts a preset control strategy to perform the energy storage response of the modular energy storage converter.

[0042] Furthermore, when the comprehensive fatigue coefficient of the energy storage system does not meet the requirements, it is determined that the energy storage system cannot adopt a preset control strategy to perform the energy storage response of the modular energy storage converter.

[0043] Specifically, the historical fault data of the modular energy storage converter in the process of responding to energy storage regulation includes the number of faults and the time points corresponding to different numbers of faults.

[0044] It should be noted that if Figure 4 As shown, the method for determining the number of spare modular energy storage converters of the energy storage system is: Determine, based on the historical fault data, the number of modular energy storage converters of the energy storage system that have failed in different historical energy storage adjustment times; Determine the proportion of historical energy storage adjustment times with historical fault data, and use it as the proportion of fault times; The fault potential coefficient of the energy storage system is determined by the proportion of the failure times and the proportion of the number of modular energy storage converters that failed in different historical energy storage adjustment times in the historical energy storage adjustment times, and the number of spare modular energy storage converters of the energy storage system is determined using the failure potential coefficient.

[0045] Furthermore, the potential fault coefficient of the energy storage system is determined based on the product of the proportion of the number of faults and the average proportion of the number of modular energy storage converters that failed in different historical energy storage adjustment times in the historical energy storage adjustment times.

[0046] It should be noted that when the fault potential risk coefficient is greater than the preset potential risk coefficient threshold, the specified number is used to determine the number of spare modular energy storage converters of the energy storage system; when the fault potential risk coefficient is not greater than the preset potential risk coefficient threshold, the second specified number is used to determine the number of spare modular energy storage converters of the energy storage system.

[0047] It should be noted that the specified number is greater than the second specified number.

[0048] Optionally, the method for determining the number of spare modular energy storage converters of the energy storage system is: S31 determines the number of modular energy storage converters that have failed in different historical energy storage adjustment times of the energy storage system based on the historical fault data, and determines the proportion of the number of faulty converters in different historical energy storage adjustment times by the proportion of the number of modular energy storage converters that have failed in different historical energy storage adjustment times in the historical energy storage adjustment times; S32 determines converter fault hidden danger coefficients of different modular energy storage converters based on the number of historical faults of different modular energy storage converters and the number of historical faults in different historical energy storage adjustment times; S33 determines the potential fault coefficient of the energy storage system by the proportion of the number of faulty converters in different historical energy storage adjustment times and the converter potential fault coefficients of different modular energy storage converters, and determines the number of spare modular energy storage converters of the energy storage system by using the potential fault coefficient.

[0049] It should be noted that the method for determining the converter fault hidden danger coefficient of the modular energy storage converter is: Determine the basic hidden danger coefficient of the modular energy storage converter according to the ratio of the historical energy storage adjustment times of the modular energy storage converter failure to the historical energy storage adjustment times of the modular energy storage converter; The converter failure hidden danger coefficient of the modular energy storage converter is determined based on an average value of a preset hidden danger coefficient corresponding to the historical number of failures of the modular energy storage converter and a benchmark hidden danger coefficient.

[0050] Specifically, Figure 5 As shown, the method for determining the standby modular energy storage converter is: Based on the remaining capacity of the energy storage battery corresponding to different modular energy storage converters, determine the historical discharge curves under different discharge powers; Determine the curve deviation coefficient of the historical discharge curve between different discharge powers based on the change of the historical discharge curve under different discharge powers; The standby modular energy storage converter among the modular energy storage converters is determined according to the average value of the curve deviation coefficients of the historical discharge curves between different discharge powers.

[0051] Further, determining a spare modular energy storage converter in the modular energy storage converter specifically includes: The number of spare modular energy storage converters is taken as the target number; Based on the target selection quantity, the target selection quantity of modular energy storage converters is obtained according to the curve deviation coefficients of the historical discharge curves between different discharge powers from small to large, and they are used as spare modular energy storage converters.

[0052] It can be understood that the method for determining the modular energy storage converter to be put into use is: The modular energy storage converter except the standby modular energy storage converter is used as the target energy storage converter; The target energy storage converter whose historical cycle number is within a preset cycle number range is used as the modular energy storage converter to be put into use.

[0053] Specifically, putting the standby modular energy storage converter into use specifically includes: Determine the number of modular energy storage converters that have failed and use them as backup units; Determine the average value of the deviation coefficient by taking the average value of the curve deviation coefficient of the historical discharge curve of the standby modular energy storage converter between different discharge powers; Obtain the historical cycle numbers of energy storage batteries corresponding to different standby modular energy storage inverters, and determine the adaptation coefficients of different standby modular energy storage inverters in combination with the average values ​​of the deviation coefficients of different standby modular energy storage inverters, and use the adaptation coefficients to determine the investment target of the standby modular energy storage inverter.

[0054] It should be noted that the method for determining the adaptation coefficient is: The ratio of the average value of the deviation coefficient to the number of historical cycles is used as the adaptation coefficient of the standby modular energy storage converter.

[0055] Furthermore, the target of putting the standby modular energy storage converter into operation is the standby modular energy storage converter having the largest standby input quantity with the largest adaptation coefficient.

[0056] Embodiment 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned modular energy storage inverter control method when running the computer program.

[0057] Optionally, the above step S31 includes the following contents: S311 determines the number of modular energy storage converters that have failed in the energy storage system in different historical energy storage adjustment times based on the historical fault data. When the number of modular energy storage converters that have failed does not meet the requirement, the number of spare modular energy storage converters of the energy storage system is determined using the specified number. When the number of modular energy storage converters that have failed meets the requirement, the process proceeds to step S312. S312 determines the proportion of the number of faulty converters in different historical energy storage adjustment times by the proportion of the number of modular energy storage converters that have failed in different historical energy storage adjustment times in the historical energy storage adjustment times, and determines the historical energy storage adjustment times in which the proportion of the number of faulty converters is greater than the proportion of the preset number of faults. When the historical energy storage adjustment times in which the proportion of the number of faulty converters is greater than the proportion of the preset number of faults does not meet the requirements, the number of spare modular energy storage converters of the energy storage system is determined by using the specified number. When the historical energy storage adjustment times in which the proportion of the number of faulty converters is greater than the proportion of the preset number of faults meets the requirements, proceed to step S313. S313: When there is no historical energy storage adjustment times in which the proportion of the number of faulty converters is greater than the preset proportion of the number of faults and the number of faulty converters does not meet the requirements, proceed to step S32; when there is a historical energy storage adjustment times in which the proportion of the number of faulty converters is greater than the preset proportion of the number of faults or the number of faulty converters does not meet the requirements, proceed to step S314; S314 determines the converter operation abnormality coefficients for different historical energy storage adjustment times based on the proportion of the number of faulty converters in different historical energy storage adjustment times and the number of faulty converters. When the converter operation abnormality coefficient does not meet the requirements and the historical energy storage adjustment times do not meet the requirements, the number of spare modular energy storage converters of the energy storage system is determined using the specified number. When the converter operation abnormality coefficient does not meet the requirements and the historical energy storage adjustment times meet the requirements, proceed to step S32.

[0058] Optionally, the above step S32 includes the following contents: S321 determines that when the average value of the historical failure times of different modular energy storage converters does not meet the requirement based on the historical failure times of different modular energy storage converters, the number of spare modular energy storage converters of the energy storage system is determined by using the specified number. When the average value of the historical failure times of different modular energy storage converters meets the requirement, the process proceeds to step S322. S322 obtains a modular energy storage converter whose historical fault number is greater than a preset fault number threshold. When there is no modular energy storage converter whose historical fault number is greater than the preset fault number threshold, proceed to step S324. When there is a modular energy storage converter whose historical fault number is greater than the preset fault number threshold, proceed to step S323. S323: When the number of modular energy storage converters with a historical fault number greater than a preset fault number threshold does not meet the requirement, the number of standby modular energy storage converters of the energy storage system is determined using the specified number; when the number of modular energy storage converters with a historical fault number greater than a preset fault number threshold meets the requirement, proceed to step S324; S324 determines the regulation failure probability of different modular energy storage converters based on the ratio of the historical failure times of different modular energy storage converters to the historical energy storage regulation times. When the average value of the regulation failure probabilities of different modular energy storage converters does not meet the requirements, the number of spare modular energy storage converters of the energy storage system is determined by using the specified number. When the average value of the regulation failure probabilities of different modular energy storage converters meets the requirements, the process proceeds to step S325. S325 determines the converter fault potential coefficients of different modular energy storage converters based on the historical failure times of different modular energy storage converters and the historical failure times in different historical energy storage adjustment times. When the number of modular energy storage converters with converter fault potential coefficients within the preset potential coefficient interval does not meet the requirements, the number of spare modular energy storage converters of the energy storage system is determined using the specified number. When the number of modular energy storage converters with converter fault potential coefficients within the preset potential coefficient interval meets the requirements, proceed to step S33.

[0059] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0060] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A modular energy storage converter control method, characterized in that: Specifically include: Determine the deviation of the discharge curve of the energy storage battery corresponding to different modular energy storage converters in the energy storage system under the current remaining capacity, and when the deviation of the discharge curve of the different modular energy storage converters meets the requirements, proceed to the next step; When it is determined that the preset control strategy cannot be used to perform the energy storage response of the modular energy storage inverter based on the historical cycle data of the energy storage battery corresponding to the modular energy storage inverter, proceed to the next step; Acquire historical fault data of different modular energy storage converters in response to energy storage regulation, and determine the number of standby modular energy storage converters of the energy storage system based on the historical fault data; Taking the number of the spare modular energy storage inverters as a constraint condition, the spare modular energy storage inverter is determined based on the changes in the discharge curves of different modular energy storage inverters under different discharge powers, so as to determine the modular energy storage inverter to be put into use by excluding the historical cycle data of the energy storage battery corresponding to the spare modular energy storage inverter, and when the put into use modular energy storage inverter fails, the spare modular energy storage inverter is put into use.

2. The modular energy storage converter control method according to claim 1, characterized in that: The discharge curve of the energy storage battery at the current remaining capacity is determined according to the historical discharge curve of the energy storage battery within the capacity interval where the current remaining capacity is located.

3. The modular energy storage converter control method according to claim 1, characterized in that: Determine whether the deviation of the discharge curves of different modular energy storage converters meets the requirements, including: Based on the remaining capacity of the energy storage batteries corresponding to different modular energy storage converters, determine the historical discharge curves of different energy storage batteries within the capacity range where the remaining capacity is located; Based on the historical discharge curves of different energy storage batteries in the capacity interval where the remaining capacity is located, the deviations of the historical discharge curves of different energy storage batteries in different historical discharge times and the benchmark discharge curves in the capacity interval are determined, and the proportion of historical discharge times that do not meet the requirements is taken as the proportion of deviation times; Determine the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries according to the deviation of the benchmark discharge curve between different energy storage batteries in the capacity interval where the remaining capacity is located; Whether the deviation of the discharge curves of different modular energy storage converters meets the requirements is determined based on the proportion of the deviation times of different energy storage batteries and the average value of the curve deviation coefficients of the benchmark discharge curves between different energy storage batteries.

4. The modular energy storage converter control method according to claim 3, characterized in that: The curve deviation coefficient of the reference discharge curve is determined according to the deviation of the image formed by the reference discharge curve.

5. The modular energy storage converter control method according to claim 3, characterized in that: The deviation ratio of different energy storage batteries and the average value of the curve deviation coefficient of the benchmark discharge curve between different energy storage batteries are used to determine whether the deviation of the discharge curve of different modular energy storage converters meets the requirements, including: The discharge curve deviation is determined by multiplying the average value of the deviation times of different energy storage batteries by the average value of the curve deviation coefficients of the reference discharge curves between different energy storage batteries; When the discharge curve deviation is within a preset deviation range, it is determined that the deviation of the discharge curves of different modular energy storage converters does not meet the requirements; When the discharge curve deviation is not within the preset deviation range, it is determined that the deviations of the discharge curves of different modular energy storage converters meet the requirements.

6. The modular energy storage converter control method according to claim 1, characterized in that: When the deviations of the discharge curves of different modular energy storage inverters do not meet the requirements, the modular energy storage inverters whose deviation times account for a preset proportion range are used as screening inverters, and the screening inverters are freely combined to generate multiple inverter groups. The modular energy storage inverters to be put into use are determined with the goal of minimizing the average value of the curve deviation coefficients of the benchmark discharge curves of the different modular energy storage inverters in the inverter group.

7. The modular energy storage converter control method according to claim 1, characterized in that: Putting the standby modular energy storage converter into use specifically includes: Determine the number of modular energy storage converters that have failed and use them as backup units; Determine the average value of the deviation coefficient by taking the average value of the curve deviation coefficient of the historical discharge curve of the standby modular energy storage converter between different discharge powers; Obtain the historical cycle numbers of energy storage batteries corresponding to different standby modular energy storage inverters, and determine the adaptation coefficients of different standby modular energy storage inverters in combination with the average values ​​of the deviation coefficients of different standby modular energy storage inverters, and use the adaptation coefficients to determine the investment target of the standby modular energy storage inverter.

8. The modular energy storage converter control method according to claim 7, characterized in that: The method for determining the adaptation coefficient is: The ratio of the average value of the deviation coefficient to the number of historical cycles is used as the adaptation coefficient of the standby modular energy storage converter.

9. The modular energy storage converter control method according to claim 7, characterized in that: The target of putting the standby modular energy storage converter into operation is the standby modular energy storage converter having the largest standby input quantity with the largest adaptation coefficient.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a modular energy storage converter control method as described in any one of claims 1-9 when running the computer program.

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