Power system fault processing method, system and medium based on energy storage converter

Abstract

The present application provides a method, system and medium for handling power system faults based on energy storage converters. The method includes: real-time monitoring of a preset power system and collecting system operation monitoring information, extracting system operation characteristic data, processing to obtain a system abnormality index, judging whether it is necessary to start a fault protection mechanism, and if it is necessary to start, obtaining system characteristic data and fault characteristic data, processing to obtain a fault influence index, obtaining characteristic data of the energy storage converter, processing to obtain an adaptation index, combining the system abnormality index and the fault influence index, processing to obtain a fault crossing defense index, and determining the fault protection mechanism mode of the energy storage converter, obtaining the state characteristic data of the energy storage converter, processing to obtain a converter response index, processing in combination with the fault crossing defense index, obtaining a control capability index, and determining the working state mode of the energy storage converter, thereby realizing a technology for handling power system faults based on an energy storage converter.

Description

Technical Field

[0001] The present application relates to the technical field of power system fault processing, and in particular, to a power system fault processing method, system and medium based on energy storage converter. Background Art

[0002] my country implements a time-of-use electricity price system for industrial and commercial electricity consumption. The peak-valley time-of-use electricity price mechanism is one of the effective demand response methods based on price. It divides a day into peak, flat and valley periods, and charges them separately.

[0003] One of the profit models of industrial and commercial energy storage is to charge during off-peak electricity price periods and discharge during peak electricity price periods to earn the price difference. However, industrial and commercial power grids, especially industrial power grids, will have high-power loads switching in and out, and their power grids may have fluctuations that exceed the recommended allowable values ​​of the converter, such as voltage fluctuations, frequency fluctuations, short-term imbalances, short-term harmonics, etc. For such fluctuations, the converter usually handles them by reporting a fault and shutting down. This operating mode protects the converter well, but reporting a fault may cause shutdown when executing the peak-valley electricity price strategy, reducing the user's profitability.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for handling power system faults based on energy storage converters. The method can monitor the preset power system in real time and obtain various types of power grid data, process and obtain the fault ride-through defense index of the energy storage converter, and determine the fault protection mechanism mode of the energy storage converter accordingly. If it is a fault ride-through mechanism mode, further process and obtain the control capability index of the energy storage converter, and determine the working state mode of the energy storage converter, specifically including the blocking drive mode and the reduced power mode, thereby realizing the technology of power system fault handling based on energy storage converters.

[0006] The present application also provides a method for handling power system faults based on an energy storage converter, comprising the following steps:

[0007] Monitor the preset power system in real time and collect system operation monitoring information, extract system operation characteristic data, process to obtain system abnormality index, and determine whether to activate the fault protection mechanism;

[0008] If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index;

[0009] Acquiring characteristic data of an energy storage converter, and processing to obtain an adaptation index of the energy storage converter;

[0010] According to the system abnormality index and the fault influence index, a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined;

[0011] Acquire state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and process the data in combination with the system abnormality index to obtain a converter response index;

[0012] The converter response index is processed in combination with the fault ride-through defense index to obtain a control capability index, and the working state mode of the energy storage converter is determined.

[0013] Optionally, in the power system fault handling method based on energy storage converter described in the present application, the real-time monitoring of the preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, the processing to obtain the system abnormality index, and the determination of whether the fault protection mechanism needs to be started include:

[0014] Monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data and system frequency change data;

[0015] Processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index;

[0016] Compare the system abnormality index with a preset system abnormality threshold, and determine whether to activate a fault protection mechanism according to the threshold comparison result;

[0017] If the threshold comparison result is greater than the preset system abnormality threshold, the fault protection mechanism needs to be activated.

[0018] Optionally, in the power system fault processing method based on the energy storage converter described in the present application, if it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index, including:

[0019] If it is necessary to activate the fault protection mechanism, obtain system characteristic data and fault characteristic data;

[0020] The system characteristic data includes system stability requirement data and system type data;

[0021] The fault characteristic data includes fault type record data and fault occurrence probability data;

[0022] The system stability requirement data and the system type data are processed in combination with the fault type record data and the fault occurrence probability data to obtain a fault influence index.

[0023] Optionally, in the power system fault processing method based on the energy storage converter described in the present application, the acquiring characteristic data of the energy storage converter and processing to obtain the adaptation index of the energy storage converter include:

[0024] Obtain characteristic data of the energy storage converter, including battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data;

[0025] The adaptation index of the energy storage converter is obtained by processing the battery capacity data, the battery internal resistance data, the charge and discharge rate data, the conversion efficiency data, the response speed data and the overload capacity data.

[0026] Optionally, in the power system fault processing method based on the energy storage converter described in the present application, the fault ride-through defense index is obtained according to the system abnormality index and the fault influence index, combined with the adaptation index processing, and the fault protection mechanism mode of the energy storage converter is determined, including:

[0027] According to the system anomaly index and the fault influence index, the fault crossing defense index is obtained in combination with the adaptation index;

[0028] Comparing the fault ride-through defense index with a preset fault ride-through defense threshold, and determining a fault protection mechanism mode of the energy storage converter according to the comparison result;

[0029] If the fault ride-through defense index is less than or equal to a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a conventional protection mechanism mode;

[0030] If the fault ride-through defense index is greater than a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode;

[0031] The calculation formula of the fault crossing defense index is:

[0032] ;

[0033] in, is the fault penetration defense index, , , They are system anomaly index, fault impact index, and adaptation index. , , is the preset characteristic coefficient.

[0034] Optionally, in the power system fault handling method based on the energy storage converter described in the present application, the state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and is processed in combination with the system abnormality index to obtain the converter response index, including:

[0035] If the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode, obtaining state characteristic data of the energy storage converter, including battery remaining power data, battery health status data, and converter temperature data;

[0036] According to the battery remaining power data, the battery health status data and the converter temperature data, combined with the system abnormality index, processing is performed to obtain a converter response index;

[0037] The calculation formula of the converter response index is:

[0038] ;

[0039] in, is the converter response index, , , They are the remaining battery power data, battery health status data, and converter temperature data. , is the preset characteristic coefficient.

[0040] Optionally, in the power system fault processing method based on the energy storage converter described in the present application, the processing according to the converter response index combined with the fault ride-through defense index to obtain the control capability index and determine the working state mode of the energy storage converter includes:

[0041] Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index of the energy storage converter;

[0042] Comparing the control capability index with a preset control capability threshold, and determining the working state of the energy storage converter according to the comparison result;

[0043] If the control capability index is less than or equal to a preset control capability threshold, determining that the working state mode of the energy storage converter is a blocking drive mode;

[0044] If the control capability index is greater than a preset control capability threshold, determining that the working state of the energy storage converter is to operate in a reduced power mode;

[0045] The calculation formula of the control capability index is:

[0046] ;

[0047] in, is the control capability index, , They are the converter response index and fault ride-through defense index, is the preset characteristic coefficient.

[0048] In a second aspect, the present application provides a power system fault processing system based on an energy storage converter, the system comprising: a memory and a processor, the memory comprising a program of a power system fault processing method based on an energy storage converter, and the program of the power system fault processing method based on an energy storage converter is executed by the processor to implement the following steps:

[0049] Monitor the preset power system in real time and collect system operation monitoring information, extract system operation characteristic data, process to obtain system abnormality index, and determine whether to activate the fault protection mechanism;

[0050] If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index;

[0051] Acquiring characteristic data of an energy storage converter, and processing to obtain an adaptation index of the energy storage converter;

[0052] According to the system abnormality index and the fault influence index, a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined;

[0053] Acquire state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and process the state characteristic data in combination with the system operation characteristic data to obtain a converter response index;

[0054] The converter response index is processed in combination with the fault ride-through defense index to obtain a control capability index, and the working state mode of the energy storage converter is determined.

[0055] Optionally, in the power system fault handling system based on energy storage converter described in the present application, the real-time monitoring of the preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, the processing to obtain the system abnormality index, and the determination of whether the fault protection mechanism needs to be started include:

[0056] Monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data and system frequency change data;

[0057] Processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index;

[0058] Compare the system abnormality index with a preset system abnormality threshold, and determine whether to activate a fault protection mechanism according to the threshold comparison result;

[0059] If the threshold comparison result is greater than the preset system abnormality threshold, the fault protection mechanism needs to be activated.

[0060] In the third aspect, the present application also provides a computer-readable storage medium, which stores a power system fault handling method program based on an energy storage inverter. When the power system fault handling method program based on an energy storage inverter is executed by a processor, the steps of the power system fault handling method based on an energy storage inverter as described in any one of the above items are implemented.

[0061] As can be seen from the above, the power system fault handling method, system and medium based on the energy storage converter provided in the present application monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, process to obtain the system abnormality index, and judge whether it is necessary to start the fault protection mechanism. If the fault protection mechanism needs to be started, the system characteristic data and the fault characteristic data are obtained, and the fault influence index is obtained by processing, and the characteristic data of the energy storage converter is obtained. The adaptation index of the energy storage converter is obtained, and the system abnormality index and the fault influence index are combined with the adaptation index to obtain the fault ride-through defense index, and the fault protection mechanism mode of the energy storage converter is determined, wherein the fault protection mechanism mode includes a conventional protection mechanism mode and a fault ride-through mechanism mode, and the state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and the system abnormality index is combined for processing to obtain the converter response index, and the converter response index is combined with the fault ride-through defense index for processing to obtain the control capability index, and the working state mode of the energy storage converter is determined, wherein the working state mode includes blocking the drive mode and reducing the power mode, thereby realizing the technology of power system fault handling based on the energy storage converter.

[0062] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0064] Figure 1 A flowchart of a power system fault processing method based on an energy storage converter provided in an embodiment of the present application;

[0065] Figure 2 A flow chart of a method for handling power system faults based on an energy storage converter provided in an embodiment of the present application for determining whether a fault protection mechanism needs to be activated;

[0066] Figure 3 A flow chart of obtaining a fault influence index of a power system fault handling method based on an energy storage converter provided in an embodiment of the present application;

[0067] Figure 4 A flow chart of obtaining an adaptation index for a method for handling power system faults based on an energy storage converter provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0069] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0070] Please refer to Figure 1 , Figure 1The flowchart of the power system fault processing method based on the energy storage converter in some embodiments of the present application. The power system fault processing method based on the energy storage converter is used in terminal equipment, such as computers, mobile phone terminals, etc. The power system fault processing method based on the energy storage converter includes the following steps:

[0071] S11, real-time monitoring of the preset power system and collection of system operation monitoring information, and extraction of system operation characteristic data, processing to obtain the system abnormality index, and determining whether it is necessary to start the fault protection mechanism;

[0072] S12. If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index;

[0073] S13, acquiring characteristic data of the energy storage converter, and processing to obtain the adaptation index of the energy storage converter;

[0074] S14, according to the system abnormality index and the fault influence index, combined with the adaptation index processing to obtain a fault ride-through defense index, and determine the fault protection mechanism mode of the energy storage converter;

[0075] S15, acquiring state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and processing the data in combination with the system abnormality index to obtain a converter response index;

[0076] S16. Process the converter response index in combination with the fault ride-through defense index to obtain a control capability index, and determine the working state of the energy storage converter.

[0077] It should be noted that commercial and industrial power grids, especially industrial power grids, will have high-power loads switching in and out, and the power grid may have fluctuations that exceed the recommended allowable values ​​of the converter, such as voltage fluctuations, frequency fluctuations, short-term imbalances, short-term harmonics, etc. For such fluctuations, the converter usually handles them by reporting a fault and shutting down. This mode of operation protects the converter well, but because reporting a fault may cause shutdown when executing the peak-valley electricity price strategy, it reduces the user's profitability. In order to more reasonably handle power system faults, in the case of external or internal short-term abnormalities, it is guaranteed that the energy storage converter can continue to operate, rather than simply shutting down when encountering a fault, so as to achieve in some specific application scenarios, improve the utilization rate of energy storage and increase customer benefits. Therefore, first of all, through real-time monitoring of the preset power system and collection of system operation monitoring information, and extraction of system operation characteristic data, processing to obtain the system abnormality index, and determine whether it is necessary to start the fault protection Protection mechanism, if it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, process to obtain the fault influence index, obtain characteristic data of the energy storage converter, process to obtain the adaptation index of the energy storage converter, according to the system abnormality index and the fault influence index, combined with the adaptation index processing to obtain the fault ride-through defense index, and determine the fault protection mechanism mode of the energy storage converter, wherein the fault protection mechanism mode includes a conventional protection mechanism mode and a fault ride-through mechanism mode, according to the fault ride-through mechanism mode, obtain the state characteristic data of the energy storage converter, and process it in combination with the system abnormality index to obtain the converter response index, according to the converter response index combined with the fault ride-through defense index processing to obtain the control capability index, and determine the working state mode of the energy storage converter, wherein the working state mode includes blocking drive mode and reducing power mode operation, thereby realizing the technology of power system fault processing based on energy storage converter.

[0078] Please refer to Figure 2 , Figure 2 It is a flowchart of a method for handling power system faults based on energy storage converters in some embodiments of the present application for determining whether a fault protection mechanism needs to be activated. According to an embodiment of the present invention, the real-time monitoring of a preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, processing to obtain a system abnormality index, and determining whether a fault protection mechanism needs to be activated include:

[0079] S21, real-time monitoring of the preset power system and collection of system operation monitoring information, and extraction of system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change and system frequency change data;

[0080] S22, processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index;

[0081] S23, comparing the system abnormality index with a preset system abnormality threshold, and determining whether to activate a fault protection mechanism according to the threshold comparison result;

[0082] S24: If the threshold comparison result is greater than a preset system abnormality threshold, a fault protection mechanism needs to be activated.

[0083] It should be noted that in order to accurately and quickly detect the occurrence of power grid faults and determine the severity of the faults, it is necessary to monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change and system frequency change data, and then process the above data to obtain the system abnormality index, and compare it with the preset system abnormality threshold. According to the threshold comparison result, it is determined whether the fault protection mechanism needs to be activated. If the threshold comparison result is greater than the preset system abnormality threshold, it indicates that the severity of the fault has reached the standard that requires the fault protection mechanism to be activated;

[0084] The calculation formula of the system abnormality index is:

[0085] ;

[0086] in, is the system abnormality index, , , , , They are voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data, and system frequency change data. , , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0087] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining a fault influence index of a power system fault processing method based on an energy storage converter in some embodiments of the present invention. According to an embodiment of the present invention, if a fault protection mechanism needs to be activated, system characteristic data and fault characteristic data are obtained, and the fault influence index is obtained by processing, including:

[0088] S31, if it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data;

[0089] S32, the system characteristic data includes system stability requirement data and system type data;

[0090] S33, the fault characteristic data includes fault type record data and fault occurrence probability data;

[0091] S34. Processing the system stability requirement data and the system type data in combination with the fault type record data and the fault occurrence probability data to obtain a fault influence index.

[0092] It should be noted that after determining that the fault protection mechanism needs to be activated, system characteristic data and fault characteristic data are further obtained, wherein the system characteristic data includes system stability demand data and system type data, the system stability demand data refers to the level data of the stability requirements of the power system, the system type data refers to the record data of the type, structure and scale of the power system, the fault characteristic data includes the fault type record data and the fault occurrence probability data, and the above data are processed to obtain the fault influence index;

[0093] The calculation formula of the fault influence index is:

[0094] ;

[0095] in, is the fault influence index, , They are system stability requirement data and system type data. , They are respectively the fault type record data and the fault occurrence probability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0096] Please refer to Figure 4 , Figure 4 The flowchart of obtaining the adaptation index of the power system fault processing method based on the energy storage converter in some embodiments of the present application. According to the embodiment of the present invention, the acquisition of characteristic data of the energy storage converter and the processing to obtain the adaptation index of the energy storage converter include:

[0097] S41, obtaining characteristic data of the energy storage converter, including battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data;

[0098] S42, obtaining an adaptation index of the energy storage converter by processing the battery capacity data, the battery internal resistance data, the charge and discharge rate data, the conversion efficiency data, the response speed data and the overload capacity data.

[0099] It should be noted that the characteristic data of the energy storage inverter is further obtained, including the battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data and overload capacity data of the energy storage inverter. Among them, the battery with a high charge and discharge rate can quickly output or absorb a large amount of energy in a short time to meet the demand for rapid power changes during fault ride-through. The efficient power conversion system can reduce energy loss and improve the overall performance of the energy storage system during fault ride-through. Low conversion efficiency will cause a large amount of energy to be wasted during the conversion process, reducing the effective output power of the energy storage system, while fast response speed and a certain overload capacity are the key to ensuring the normal operation of the fault ride-through mechanism, and continue to process according to the above data to obtain the adaptation index of the energy storage inverter;

[0100] The calculation formula of the adaptation index is:

[0101] ;

[0102] in, is the fitness index, , , , , , They are battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0103] According to an embodiment of the present invention, the system anomaly index and the fault influence index are combined with the adaptation index to obtain a fault ride-through defense index, and the fault protection mechanism mode of the energy storage converter is determined, including:

[0104] According to the system anomaly index and the fault influence index, the fault crossing defense index is obtained in combination with the adaptation index;

[0105] Comparing the fault ride-through defense index with a preset fault ride-through defense threshold, and determining a fault protection mechanism mode of the energy storage converter according to the comparison result;

[0106] If the fault ride-through defense index is less than or equal to a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a conventional protection mechanism mode;

[0107] If the fault ride-through defense index is greater than a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode;

[0108] The calculation formula of the fault crossing defense index is:

[0109] ;

[0110] in, is the fault penetration defense index, , , They are system anomaly index, fault impact index, and adaptation index. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0111] It should be noted that, in the present embodiment, the fault protection mechanism mode of the energy storage converter includes a conventional protection mechanism mode and a fault ride-through mechanism mode. To accurately select the fault protection mechanism mode, the fault ride-through defense index is obtained according to the system abnormality index and the fault influence index combined with the adaptation index processing, and then compared with the preset fault ride-through defense threshold, and the fault protection mechanism mode of the energy storage converter is determined according to the comparison result.

[0112] According to an embodiment of the present invention, the state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and is processed in combination with the system abnormality index to obtain the converter response index, including:

[0113] If the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode, obtaining state characteristic data of the energy storage converter, including battery remaining power data, battery health status data, and converter temperature data;

[0114] According to the battery remaining power data, the battery health status data and the converter temperature data, combined with the system abnormality index, processing is performed to obtain a converter response index;

[0115] The calculation formula of the converter response index is:

[0116] ;

[0117] in, is the converter response index, , , They are the remaining battery power data, battery health status data, and converter temperature data. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0118] It should be noted that if the fault protection mechanism mode of the energy storage inverter has been selected as the fault ride-through mechanism mode, then its working state needs to be further determined. Therefore, the state characteristic data of the energy storage inverter is first obtained, including the remaining battery power, battery health status and inverter temperature data of the energy storage inverter, and the above data is processed in combination with the system abnormality index to obtain the inverter response index.

[0119] According to an embodiment of the present invention, the processing according to the converter response index combined with the fault ride-through defense index to obtain a control capability index and determine the working state of the energy storage converter includes:

[0120] Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index of the energy storage converter;

[0121] Comparing the control capability index with a preset control capability threshold, and determining the working state of the energy storage converter according to the comparison result;

[0122] If the control capability index is less than or equal to a preset control capability threshold, determining that the working state mode of the energy storage converter is a blocking drive mode;

[0123] If the control capability index is greater than a preset control capability threshold, determining that the working state of the energy storage converter is to operate in a reduced power mode;

[0124] The calculation formula of the control capability index is:

[0125] ;

[0126] in, is the control capability index, , They are the converter response index and fault ride-through defense index, It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0127] It should be noted that the control capability index of the energy storage inverter is obtained by processing the inverter response index in combination with the fault ride-through defense index, and then compared with the preset control capability threshold. The working state mode of the energy storage inverter is determined according to the comparison result. If the control capability index is less than or equal to the preset control capability threshold, the working state mode of the energy storage inverter is determined to be the blocking drive mode. If the control capability index is greater than the preset control capability threshold, it is determined to be operated in a reduced power mode.

[0128] In a second aspect, the present invention further discloses a power system fault processing system based on an energy storage converter, comprising a memory and a processor, wherein the memory comprises a power system fault processing method program based on an energy storage converter, and when the power system fault processing method program based on an energy storage converter is executed by the processor, the following steps are implemented:

[0129] Monitor the preset power system in real time and collect system operation monitoring information, extract system operation characteristic data, process to obtain system abnormality index, and determine whether to activate the fault protection mechanism;

[0130] If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index;

[0131] Acquiring characteristic data of an energy storage converter, and processing to obtain an adaptation index of the energy storage converter;

[0132] According to the system abnormality index and the fault influence index, a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined;

[0133] Acquire state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and process the data in combination with the system abnormality index to obtain a converter response index;

[0134] The converter response index is processed in combination with the fault ride-through defense index to obtain a control capability index, and the working state mode of the energy storage converter is determined.

[0135] It should be noted that commercial and industrial power grids, especially industrial power grids, will have high-power loads switching in and out, and the power grid may have fluctuations that exceed the recommended allowable values ​​of the converter, such as voltage fluctuations, frequency fluctuations, short-term imbalances, short-term harmonics, etc. For such fluctuations, the converter usually handles them by reporting a fault and shutting down. This mode of operation protects the converter well, but because reporting a fault may cause shutdown when executing the peak-valley electricity price strategy, it reduces the user's profitability. In order to more reasonably handle power system faults, in the case of external or internal short-term abnormalities, it is guaranteed that the energy storage converter can continue to operate, rather than simply shutting down when encountering a fault, so as to achieve in some specific application scenarios, improve the utilization rate of energy storage and increase customer benefits. Therefore, first of all, through real-time monitoring of the preset power system and collection of system operation monitoring information, and extraction of system operation characteristic data, processing to obtain the system abnormality index, and determine whether it is necessary to start the fault protection Protection mechanism, if it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, process to obtain the fault influence index, obtain characteristic data of the energy storage converter, process to obtain the adaptation index of the energy storage converter, according to the system abnormality index and the fault influence index, combined with the adaptation index processing to obtain the fault ride-through defense index, and determine the fault protection mechanism mode of the energy storage converter, wherein the fault protection mechanism mode includes a conventional protection mechanism mode and a fault ride-through mechanism mode, according to the fault ride-through mechanism mode, obtain the state characteristic data of the energy storage converter, and process it in combination with the system abnormality index to obtain the converter response index, according to the converter response index combined with the fault ride-through defense index processing to obtain the control capability index, and determine the working state mode of the energy storage converter, wherein the working state mode includes blocking drive mode and reducing power mode operation, thereby realizing the technology of power system fault processing based on energy storage converter.

[0136] According to an embodiment of the present invention, the real-time monitoring of the preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, processing to obtain the system abnormality index, and determining whether the fault protection mechanism needs to be started include:

[0137] Monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data and system frequency change data;

[0138] Processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index;

[0139] Compare the system abnormality index with a preset system abnormality threshold, and determine whether to activate a fault protection mechanism according to the threshold comparison result;

[0140] If the threshold comparison result is greater than the preset system abnormality threshold, the fault protection mechanism needs to be activated.

[0141] It should be noted that in order to accurately and quickly detect the occurrence of power grid faults and determine the severity of the faults, it is necessary to monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change and system frequency change data, and then process the above data to obtain the system abnormality index, and compare it with the preset system abnormality threshold. According to the threshold comparison result, it is determined whether the fault protection mechanism needs to be activated. If the threshold comparison result is greater than the preset system abnormality threshold, it indicates that the severity of the fault has reached the standard that requires the fault protection mechanism to be activated;

[0142] The calculation formula of the system abnormality index is:

[0143] ;

[0144] in, is the system abnormality index, , , , , They are voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data, and system frequency change data. , , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0145] According to an embodiment of the present invention, if it is necessary to start a fault protection mechanism, obtaining system characteristic data and fault characteristic data, and processing to obtain a fault influence index include:

[0146] If it is necessary to activate the fault protection mechanism, obtain system characteristic data and fault characteristic data;

[0147] The system characteristic data includes system stability requirement data and system type data;

[0148] The fault characteristic data includes fault type record data and fault occurrence probability data;

[0149] The system stability requirement data and the system type data are processed in combination with the fault type record data and the fault occurrence probability data to obtain a fault influence index.

[0150] It should be noted that after determining that the fault protection mechanism needs to be activated, system characteristic data and fault characteristic data are further obtained, wherein the system characteristic data includes system stability demand data and system type data, the system stability demand data refers to the level data of the stability requirements of the power system, the system type data refers to the record data of the type, structure and scale of the power system, the fault characteristic data includes the fault type record data and the fault occurrence probability data, and the above data are processed to obtain the fault influence index;

[0151] The calculation formula of the fault influence index is:

[0152] ;

[0153] in, is the fault influence index, , They are system stability requirement data and system type data. , They are respectively the fault type record data and the fault occurrence probability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0154] According to an embodiment of the present invention, the step of acquiring characteristic data of the energy storage converter and processing to obtain the adaptation index of the energy storage converter includes:

[0155] Obtain characteristic data of the energy storage converter, including battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data;

[0156] The adaptation index of the energy storage converter is obtained by processing the battery capacity data, the battery internal resistance data, the charge and discharge rate data, the conversion efficiency data, the response speed data and the overload capacity data.

[0157] It should be noted that the characteristic data of the energy storage inverter is further obtained, including the battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data and overload capacity data of the energy storage inverter. Among them, the battery with a high charge and discharge rate can quickly output or absorb a large amount of energy in a short time to meet the demand for rapid power changes during fault ride-through. The efficient power conversion system can reduce energy loss and improve the overall performance of the energy storage system during fault ride-through. Low conversion efficiency will cause a large amount of energy to be wasted during the conversion process, reducing the effective output power of the energy storage system, while fast response speed and a certain overload capacity are the key to ensuring the normal operation of the fault ride-through mechanism, and continue to process according to the above data to obtain the adaptation index of the energy storage inverter;

[0158] The calculation formula of the adaptation index is:

[0159] ;

[0160] in, is the fitness index, , , , , , They are battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0161] According to an embodiment of the present invention, the system anomaly index and the fault influence index are combined with the adaptation index to obtain a fault ride-through defense index, and the fault protection mechanism mode of the energy storage converter is determined, including:

[0162] According to the system anomaly index and the fault influence index, the fault crossing defense index is obtained in combination with the adaptation index;

[0163] Comparing the fault ride-through defense index with a preset fault ride-through defense threshold, and determining a fault protection mechanism mode of the energy storage converter according to the comparison result;

[0164] If the fault ride-through defense index is less than or equal to a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a conventional protection mechanism mode;

[0165] If the fault ride-through defense index is greater than a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode;

[0166] The calculation formula of the fault crossing defense index is:

[0167] ;

[0168] in, is the fault penetration defense index, , , They are system anomaly index, fault impact index, and adaptation index. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0169] It should be noted that, in the present embodiment, the fault protection mechanism mode of the energy storage converter includes a conventional protection mechanism mode and a fault ride-through mechanism mode. To accurately select the fault protection mechanism mode, the fault ride-through defense index is obtained according to the system abnormality index and the fault influence index combined with the adaptation index processing, and then compared with the preset fault ride-through defense threshold, and the fault protection mechanism mode of the energy storage converter is determined according to the comparison result.

[0170] According to an embodiment of the present invention, the state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and is processed in combination with the system abnormality index to obtain the converter response index, including:

[0171] If the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode, obtaining state characteristic data of the energy storage converter, including battery remaining power data, battery health status data, and converter temperature data;

[0172] According to the battery remaining power data, the battery health status data and the converter temperature data, combined with the system abnormality index, processing is performed to obtain a converter response index;

[0173] The calculation formula of the converter response index is:

[0174] ;

[0175] in, is the converter response index, , , They are the remaining battery power data, battery health status data, and converter temperature data. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0176] It should be noted that if the fault protection mechanism mode of the energy storage inverter has been selected as the fault ride-through mechanism mode, then its working state needs to be further determined. Therefore, the state characteristic data of the energy storage inverter is first obtained, including the remaining battery power, battery health status and inverter temperature data of the energy storage inverter, and the above data is processed in combination with the system abnormality index to obtain the inverter response index.

[0177] According to an embodiment of the present invention, the processing according to the converter response index combined with the fault ride-through defense index to obtain a control capability index and determine the working state of the energy storage converter includes:

[0178] Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index of the energy storage converter;

[0179] Comparing the control capability index with a preset control capability threshold, and determining the working state of the energy storage converter according to the comparison result;

[0180] If the control capability index is less than or equal to a preset control capability threshold, determining that the working state mode of the energy storage converter is a blocking drive mode;

[0181] If the control capability index is greater than a preset control capability threshold, determining that the working state of the energy storage converter is to operate in a reduced power mode;

[0182] The calculation formula of the control capability index is:

[0183] ;

[0184] in, is the control capability index, , They are the converter response index and fault ride-through defense index, It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power system monitoring platform database).

[0185] It should be noted that the control capability index of the energy storage inverter is obtained by processing the inverter response index in combination with the fault ride-through defense index, and then compared with the preset control capability threshold. The working state mode of the energy storage inverter is determined according to the comparison result. If the control capability index is less than or equal to the preset control capability threshold, the working state mode of the energy storage inverter is determined to be the blocking drive mode. If the control capability index is greater than the preset control capability threshold, it is determined to be operated in a reduced power mode.

[0186] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for handling a power system fault based on an energy storage converter. When the program for handling a power system fault based on an energy storage converter is executed by a processor, the steps of the method for handling a power system fault based on an energy storage converter as described in any one of the above items are implemented.

[0187] The present invention discloses a method, system and medium for handling power system faults based on an energy storage converter. The method monitors a preset power system in real time, collects system operation monitoring information, extracts system operation characteristic data, processes to obtain a system abnormality index, and determines whether a fault protection mechanism needs to be started. If the fault protection mechanism needs to be started, system characteristic data and fault characteristic data are obtained, and a fault influence index is obtained by processing. Characteristic data of the energy storage converter are obtained, and an adaptation index of the energy storage converter is obtained by processing according to the system abnormality index and the fault influence index, and a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined, wherein the fault protection mechanism mode includes a conventional protection mechanism mode and a fault ride-through mechanism mode, and state characteristic data of the energy storage converter is obtained, and processed in combination with the system abnormality index to obtain a converter response index, and processed in combination with the converter response index and the fault ride-through defense index to obtain a control capability index, and a working state mode of the energy storage converter is determined, wherein the working state mode includes a blocking drive mode and a power reduction mode, thereby realizing a technology for handling power system faults based on an energy storage converter.

[0188] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0189] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0190] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0191] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0192] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A power system fault handling method based on energy storage converter, characterized in that: The following steps are involved: Monitor the preset power system in real time and collect system operation monitoring information, extract system operation characteristic data, process to obtain system abnormality index, and determine whether to activate the fault protection mechanism; If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index; Acquiring characteristic data of an energy storage converter, and processing to obtain an adaptation index of the energy storage converter; According to the system abnormality index and the fault influence index, a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined; Acquire state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and process the data in combination with the system abnormality index to obtain a converter response index; Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index, and determining a working state mode of the energy storage converter; The real-time monitoring of the preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, processing to obtain the system abnormality index, and determining whether the fault protection mechanism needs to be activated include: Monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data and system frequency change data; Processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index; Compare the system abnormality index with a preset system abnormality threshold, and determine whether to activate a fault protection mechanism according to the threshold comparison result; If the threshold comparison result is greater than the preset system abnormality threshold, the fault protection mechanism needs to be activated; The calculation formula of the system abnormality index is: ； in, is the system abnormality index, , , , , They are voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data, and system frequency change data. , , , , is the preset characteristic coefficient; If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index, including: If it is necessary to activate the fault protection mechanism, obtain system characteristic data and fault characteristic data; The system characteristic data includes system stability requirement data and system type data; The fault characteristic data includes fault type record data and fault occurrence probability data; According to the system stability requirement data and the system type data, combined with the fault type record data and the fault occurrence probability data, a fault influence index is obtained; The calculation formula of the fault influence index is: ； in, is the fault impact index, , They are system stability requirement data and system type data. , They are respectively the fault type record data and the fault occurrence probability data. , , , is the preset characteristic coefficient; The step of acquiring characteristic data of the energy storage converter and processing to obtain the adaptation index of the energy storage converter includes: Obtain characteristic data of the energy storage converter, including battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data; Processing the battery capacity data, the battery internal resistance data, the charge and discharge rate data, the conversion efficiency data, the response speed data and the overload capacity data to obtain an adaptation index of the energy storage converter; The calculation formula of the adaptation index is: ； in, is the fitness index, , , , , , They are battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data. , , is the preset characteristic coefficient; The method of obtaining a fault ride-through defense index based on the system anomaly index and the fault influence index in combination with the adaptation index, and determining a fault protection mechanism mode of the energy storage converter includes: According to the system anomaly index and the fault influence index, the fault crossing defense index is obtained in combination with the adaptation index; Comparing the fault ride-through defense index with a preset fault ride-through defense threshold, and determining a fault protection mechanism mode of the energy storage converter according to the comparison result; If the fault ride-through defense index is less than or equal to a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a conventional protection mechanism mode; If the fault ride-through defense index is greater than a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode; The calculation formula of the fault crossing defense index is: ； in, is the fault penetration defense index, , , They are system anomaly index, fault impact index, and adaptation index. , , is the preset characteristic coefficient; The state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and is processed in combination with the system abnormality index to obtain the converter response index, including: If the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode, obtaining state characteristic data of the energy storage converter, including battery remaining power data, battery health status data, and converter temperature data; According to the battery remaining power data, the battery health status data and the converter temperature data, combined with the system abnormality index, processing is performed to obtain a converter response index; The calculation formula of the converter response index is: ； in, is the converter response index, , , They are the remaining battery power data, battery health status data, and converter temperature data. , is the preset characteristic coefficient; The processing according to the converter response index combined with the fault ride-through defense index to obtain a control capability index and determine the working state of the energy storage converter includes: Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index of the energy storage converter; Comparing the control capability index with a preset control capability threshold, and determining the working state of the energy storage converter according to the comparison result; If the control capability index is less than or equal to a preset control capability threshold, determining that the working state mode of the energy storage converter is a blocking drive mode; If the control capability index is greater than a preset control capability threshold, determining that the working state of the energy storage converter is to operate in a reduced power mode; The calculation formula of the control capability index is: ； in, is the control capability index, , They are the converter response index and fault ride-through defense index, is the preset characteristic coefficient.

2. The power system fault handling system based on energy storage converter is characterized by: The system includes: a memory and a processor, wherein the memory includes a program of a method for handling power system faults based on an energy storage converter, and when the program of the method for handling power system faults based on an energy storage converter is executed by the processor, the following steps are implemented: Monitor the preset power system in real time and collect system operation monitoring information, extract system operation characteristic data, process to obtain system abnormality index, and determine whether to activate the fault protection mechanism; If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index; Acquiring characteristic data of an energy storage converter, and processing to obtain an adaptation index of the energy storage converter; According to the system abnormality index and the fault influence index, a fault ride-through defense index is obtained in combination with the adaptation index, and a fault protection mechanism mode of the energy storage converter is determined; Acquire state characteristic data of the energy storage converter according to the fault ride-through mechanism mode, and process the data in combination with the system abnormality index to obtain a converter response index; Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index, and determining a working state mode of the energy storage converter; The real-time monitoring of the preset power system and the collection of system operation monitoring information, and the extraction of system operation characteristic data, processing to obtain the system abnormality index, and determining whether the fault protection mechanism needs to be activated include: Monitor the preset power system in real time and collect system operation monitoring information, and extract system operation characteristic data, including voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data and system frequency change data; Processing the voltage amplitude change data, the voltage phase change data, the current amplitude change data, the current phase change data and the system frequency change data to obtain a system abnormality index; Compare the system abnormality index with a preset system abnormality threshold, and determine whether to activate a fault protection mechanism according to the threshold comparison result; If the threshold comparison result is greater than the preset system abnormality threshold, the fault protection mechanism needs to be activated; The calculation formula of the system abnormality index is: ； in, is the system abnormality index, , , , , They are voltage amplitude change data, voltage phase change data, current amplitude change data, current phase change data, and system frequency change data. , , , , is the preset characteristic coefficient; If it is necessary to start the fault protection mechanism, obtain system characteristic data and fault characteristic data, and process to obtain the fault influence index, including: If it is necessary to activate the fault protection mechanism, obtain system characteristic data and fault characteristic data; The system characteristic data includes system stability requirement data and system type data; The fault characteristic data includes fault type record data and fault occurrence probability data; According to the system stability requirement data and the system type data, combined with the fault type record data and the fault occurrence probability data, a fault influence index is obtained; The calculation formula of the fault influence index is: ； in, is the fault influence index, , They are system stability requirement data and system type data. , They are respectively the fault type record data and the fault occurrence probability data. , , , is the preset characteristic coefficient; The step of acquiring characteristic data of the energy storage converter and processing to obtain the adaptation index of the energy storage converter includes: Obtain characteristic data of the energy storage converter, including battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data; Processing the battery capacity data, the battery internal resistance data, the charge and discharge rate data, the conversion efficiency data, the response speed data and the overload capacity data to obtain an adaptation index of the energy storage converter; The calculation formula of the adaptation index is: ； in, is the fitness index, , , , , , They are battery capacity data, battery internal resistance data, charge and discharge rate data, conversion efficiency data, response speed data, and overload capacity data. , , is the preset characteristic coefficient; The method of obtaining a fault ride-through defense index based on the system anomaly index and the fault influence index in combination with the adaptation index, and determining a fault protection mechanism mode of the energy storage converter includes: According to the system anomaly index and the fault influence index, the fault crossing defense index is obtained in combination with the adaptation index; Comparing the fault ride-through defense index with a preset fault ride-through defense threshold, and determining a fault protection mechanism mode of the energy storage converter according to the comparison result; If the fault ride-through defense index is less than or equal to a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a conventional protection mechanism mode; If the fault ride-through defense index is greater than a preset fault ride-through defense threshold, determining that the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode; The calculation formula of the fault crossing defense index is: ； in, is the fault penetration defense index, , , They are system anomaly index, fault impact index, and adaptation index. , , is the preset characteristic coefficient; The state characteristic data of the energy storage converter is obtained according to the fault ride-through mechanism mode, and is processed in combination with the system abnormality index to obtain the converter response index, including: If the fault protection mechanism mode of the energy storage converter is a fault ride-through mechanism mode, obtaining state characteristic data of the energy storage converter, including battery remaining power data, battery health status data, and converter temperature data; According to the battery remaining power data, the battery health status data and the converter temperature data, combined with the system abnormality index, processing is performed to obtain a converter response index; The calculation formula of the converter response index is: ； in, is the converter response index, , , They are the remaining battery power data, battery health status data, and converter temperature data. , is the preset characteristic coefficient; The processing according to the converter response index combined with the fault ride-through defense index to obtain a control capability index and determine the working state of the energy storage converter includes: Processing the converter response index in combination with the fault ride-through defense index to obtain a control capability index of the energy storage converter; Comparing the control capability index with a preset control capability threshold, and determining the working state of the energy storage converter according to the comparison result; If the control capability index is less than or equal to a preset control capability threshold, determining that the working state mode of the energy storage converter is a blocking drive mode; If the control capability index is greater than a preset control capability threshold, determining that the working state of the energy storage converter is to operate in a reduced power mode; The calculation formula of the control capability index is: ； in, is the control capability index, , They are the converter response index and fault ride-through defense index, is the preset characteristic coefficient.

3. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a power system fault processing method program based on an energy storage converter. When the power system fault processing method program based on an energy storage converter is executed by a processor, the steps of the power system fault processing method based on an energy storage converter as described in claim 1 are implemented.

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