Parameter characteristic analysis-based fault identification method for parallel capacitor and series reactor

Abstract

The invention provides a fault identification method for a parallel capacitor and a series reactor based on parameter characteristic analysis. The method comprises the following steps: carrying out simulation modeling on a real circuit, and initializing a reference characteristic value in a normal state; constructing a fault list and a fault impedance value set; constructing a fault comparison table based on the impedance deviation values under different faults; and the to-be-detected state of the power system is sampled, the actual impedance deviation vector is calculated, the fault type is determined through the comparison table, and early warning is given out. According to the method, accurate fault identification and real-time monitoring can be realized, the reliability of the power system is improved, the economic loss and the safety risk are reduced, and the practical value is relatively high.

Description

Technical Field

[0001] The present invention relates to the technical field of power fault detection, and in particular to a fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis. Background Art

[0002] In the power system, capacitors and reactors are important power equipment, which are widely used to improve power quality and improve system stability. However, these devices may fail during operation, such as insulation failure, short circuit or equipment aging.

[0003] Traditional fault identification methods rely on manual inspections and empirical judgments, which have certain limitations. The fault identification method based on parameter characteristic analysis can more quickly and accurately identify the fault type and location by real-time monitoring of the electrical parameters of the equipment (such as current, voltage, power factor, etc.), combined with data analysis technology, to improve the fault response speed and reduce the power outage time. Therefore, the development of a fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis has important practical significance and application value.

[0004] At present, the following technical routes are mainly used for fault identification and detection of parallel capacitors and series reactors: 1. Fault diagnosis based on electrical parameter monitoring: Real-time monitoring of electrical parameters such as current, voltage, and power factor through sensor equipment, combined with fault diagnosis models for analysis. Changes in these parameters can reflect the operating status of the equipment.

[0005] 2. Vibration analysis technology: Use sensors to monitor the vibration of the equipment, and determine whether the equipment has mechanical failure by analyzing the vibration signal. This method is usually suitable for equipment with larger capacity.

[0006] 3. Infrared thermal imaging technology: Use infrared thermal imaging equipment to detect the temperature distribution of the equipment, identify overheating, and determine whether the equipment is faulty. This technology can be used for detection without affecting the operation of the equipment.

[0007] 4. Intelligent algorithms and machine learning: By collecting a large amount of historical fault data and using machine learning algorithms to establish a fault identification model, the accuracy and efficiency of fault identification can be improved.

[0008] The problems existing in the above-mentioned prior art means include: 1. Strong data dependence: Traditional methods often rely on a large amount of historical data to train models. However, in some new devices or new application scenarios, there is a lack of sufficient data samples, which reduces the applicability of the model.

[0009] 2. Lack of real-time performance: Existing monitoring technologies are insufficient in real-time performance and cannot respond to sudden failures in a timely manner, thus affecting the security and stability of the system.

[0010] 3. Difficulty in identifying fault types: Due to the complexity of equipment failures, existing technologies often find it difficult to accurately distinguish different types of faults, resulting in misjudgments and missed judgments.

[0011] 4. Poor equipment integration: The integration and synergy between different technical routes are poor, resulting in low overall efficiency of fault identification.

[0012] 5. Lack of standardization: There is currently a lack of unified fault identification standards and methods. The fault identification technologies of different companies and industries vary greatly, which affects the promotion and application of technology. Summary of the invention

[0013] In view of the above problems, the object of the present invention is to propose: A fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis comprises the following steps: S1. Simulate and model the real circuit of parallel capacitors and series reactors: Simulate and model the real circuit according to the real circuit; S2, initializing the reference characteristic value parameters under normal conditions; sampling the response curve of the system under normal conditions of the real circuit, calculating the impedance value reference interval, and obtaining the impedance value reference interval set, wherein the impedance value reference interval represents the allowable range of the impedance value of the real circuit under normal conditions; S3. Constructing a fault list and a set of fault impedance values: constructing a fault list based on the faults that have occurred in history, and retrieving the fault impedance values ​​recorded when any fault in the fault list occurs in the real circuit to construct a set of fault impedance values; S4. Constructing a fault comparison table: Under different faults, the fault impedance deviation value is calculated based on the fault impedance value and the impedance value reference interval, and a fault comparison table is constructed; S5, sampling of the state to be measured and calculation of impedance value; for the current state to be measured of the power system, extracting the measured partial voltage and the measured partial current of each component in the real circuit, and calculating the actual equivalent impedance and the actual impedance value deviation vector; S6. Current fault determination: Based on the actual impedance value deviation vector, call the fault comparison table to determine the fault type and issue an early warning.

[0014] Furthermore, in step S1, the system model function of the impedance complex form of the parallel capacitor and the series reactor in the real circuit satisfies:

[0015] in, Indicates the impedance value of the reactor. Represents the impedance value of the capacitor, Represents resistance, represents the angular frequency, is an imaginary unit, represents inductance; The impedance of the circuit with parallel capacitors and series reactors satisfies: in, Indicates The impedance of the capacitors in parallel is ; Indicates The impedance value of the parallel-connected reactor is ; Indicates The impedance of the capacitors in series is ; and The impedance value of the parallel-connected reactor is ; , , and Represents the total number of capacitors or reactors connected in parallel or series, respectively; Furthermore, in step S2, the impedance value reference interval set satisfies:

[0016]

[0017] in: represents a set of impedance value reference intervals; Indicates The impedance value reference interval of the capacitors connected in parallel is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference range of the parallel-connected reactors is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the capacitors connected in series is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the series reactor is: and They represent the lower and upper limits of the impedance value reference interval respectively.

[0018] Furthermore, step S3 specifically includes: S31. Build a fault list: Build all faults that have appeared in historical reports into a set and remove duplicates to obtain a fault list ,satisfy:

[0019] Among them, among them, superscript is the fault sequence number, Indicates the first kind of fault, , is the total number of faults in the fault list; S32. Retrieve the measured impedance value recorded when any fault in the fault list is encountered, and construct a fault impedance value set. ,satisfy:

[0020] in, Indicates that the fault list When the fault The fault impedance value of the capacitors connected in parallel; , and Same reason.

[0021] Furthermore, step S4 specifically includes: S41, based on the fault impedance value set and the impedance value reference interval set in the fault impedance value set, calculate the fault impedance deviation value to obtain the fault impedance deviation value set ,satisfy:

[0022]

[0023] in, , and Refer to the above formula for calculation; S42, construct fault impedance value deviation vector: As vector elements, construct the fault impedance value deviation vector ;satisfy:

[0024] in, Indicates that the fault list When this fault occurs, all the first to the second The sequence of fault impedance deviation values ​​of capacitors, , and Similarly; S43, build a fault comparison table; and the fault impedance value deviation vector Match and get the fault comparison table ,satisfy:

[0025] in, Indicates the first The corresponding relationship between the fault type and the fault impedance value deviation vector is used as the element of the fault comparison table.

[0026] Furthermore, step S5 specifically includes: S51. Calculate the actual equivalent impedance based on the measured partial voltage and the measured partial current of each component, satisfying:

[0027] in, , and Respectively represent The measured partial voltages, measured partial currents and actual impedance values ​​of the capacitors connected in parallel; , and Similarly; S52, calculating the actual impedance deviation of each component: calling the impedance value reference interval set, and calculating the actual impedance deviation value based on the actual impedance value to obtain the actual impedance deviation value set ,satisfy:

[0028]

[0029] in, Indicates The actual impedance deviation of the capacitors connected in parallel is , and Refer to the above formula for calculation; S53, constructing the actual impedance value deviation vector: As vector elements, construct the actual impedance value deviation vector ;satisfy:

[0030] in, Indicates all the 1st to 2nd parallel connections. The actual impedance deviation value of the capacitor is a sequence of , and Same reason.

[0031] Further, step S6 specifically includes: S61. Calculate the impedance value deviation vector deviation: based on the actual impedance value deviation vector Comparison table with faults Any fault impedance deviation vector in The absolute value of the difference is used to calculate the impedance value deviation vector deviation ,satisfy:

[0032] in, It represents the deviation of the impedance value deviation vector, which is numerically equal to the difference between the actual impedance value deviation vector and the first The absolute value of the difference between the barrier impedance deviation vectors of the faults; S62, find the minimum deviation; satisfy:

[0033] in, represents the set of impedance value deviation vector deviations for all faults, Indicates the minimum value operation. represents the minimum deviation obtained, Indicates the fault number corresponding to the minimum deviation.

[0034] Further, step S6 also includes: S63, based on the fault number corresponding to the minimum deviation , call the fault comparison table and determine the fault type through comparison.

[0035] Furthermore, step S6 also includes: S64, sending the determined fault type as warning information to the management personnel.

[0036] The beneficial effects of the present invention are: 1. Accurate fault identification: By building a simulation model and benchmark characteristic values ​​of the real circuit, faults in the power system can be more accurately identified and located. This method reduces the misjudgment caused by experience judgment or inaccurate parameters in traditional fault identification and improves the accuracy of fault diagnosis.

[0037] 2. Real-time monitoring capability: This method can quickly respond to changes in the state of the power system by sampling the impedance value of the system in real time, thereby achieving timely early warning of potential faults. This rapid response capability is often lacking in traditional methods and helps reduce economic losses and safety risks caused by faults.

[0038] 3. Comprehensive fault data analysis: The constructed fault list and fault impedance value set provide a rich historical data foundation, making the fault comparison more scientific and comprehensive. This data-driven approach can provide more valuable reference fault modes compared to traditional technologies based on single cases.

[0039] 4. Efficient fault comparison and judgment: By building a fault comparison table, the actual measured impedance value and historical fault mode can be quickly matched, significantly improving the efficiency of fault judgment. This automated comparison mechanism reduces the complexity of manual operations and reduces the risk of human error.

[0040] 5. Enhanced system reliability: Through regular status monitoring and fault identification, the service life of the power system can be effectively extended, the occurrence of unexpected downtime can be reduced, and the reliability of the entire system can be improved. This is crucial to maintaining the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0042] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with examples. The examples are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0043] Embodiment 1 according to Figure 1 As shown, this embodiment provides a fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis, comprising the following steps: S1. Simulate and model the real circuit of parallel capacitors and series reactors: Simulate and model the real circuit according to the real circuit; S2, initializing the reference characteristic value parameters under normal conditions; sampling the response curve of the system under normal conditions of the real circuit, calculating the impedance value reference interval, and obtaining the impedance value reference interval set, wherein the impedance value reference interval represents the allowable range of the impedance value of the real circuit under normal conditions; S3. Constructing a fault list and a set of fault impedance values: constructing a fault list based on the faults that have occurred in history, and retrieving the fault impedance values ​​recorded when any fault in the fault list occurs in the real circuit to construct a set of fault impedance values; S4. Constructing a fault comparison table: Under different faults, the fault impedance deviation value is calculated based on the fault impedance value and the impedance value reference interval, and a fault comparison table is constructed; S5, sampling of the state to be measured and calculation of impedance value; for the current state to be measured of the power system, extracting the measured partial voltage and the measured partial current of each component in the real circuit, and calculating the actual equivalent impedance and the actual impedance value deviation vector; S6. Current fault determination: Based on the actual impedance value deviation vector, call the fault comparison table to determine the fault type and issue an early warning.

[0044] In step S1, the system model function of the impedance complex form of the parallel capacitor and the series reactor in the real circuit satisfies:

[0045] in, Indicates the impedance value of the reactor. Represents the impedance value of the capacitor, Represents resistance, represents the angular frequency, is an imaginary unit, represents inductance; The impedance of the circuit with parallel capacitors and series reactors satisfies:

[0046] in, Indicates The impedance value of the capacitors connected in parallel is ; Indicates The impedance value of the parallel reactor is ; Indicates The impedance of the capacitors in series is ; and The impedance value of the parallel reactor is ; , , and Represents the total number of capacitors or reactors connected in parallel or series, respectively; In step S2, the impedance value reference interval set satisfies:

[0047]

[0048] in: represents a set of impedance value reference intervals; Indicates The impedance value reference interval of the capacitors connected in parallel is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference range of the parallel-connected reactors is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the capacitors connected in series is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the series reactor is: and They represent the lower and upper limits of the impedance value reference interval respectively.

[0049] Step S3 specifically includes: S31. Build a fault list: Build all faults that have appeared in historical reports into a set and remove duplicates to obtain a fault list ,satisfy:

[0050] Among them, among them, superscript is the fault sequence number, Indicates the first kind of fault, , is the total number of faults in the fault list; S32. Retrieve the measured impedance value recorded when any fault in the fault list is encountered, and construct a fault impedance value set. ,satisfy:

[0051] in, Indicates that the fault list When the fault The fault impedance value of the capacitors connected in parallel; , and Same reason.

[0052] Step S4 specifically includes: S41, based on the fault impedance value set and the impedance value reference interval set in the fault impedance value set, calculate the fault impedance deviation value to obtain the fault impedance deviation value set ,satisfy:

[0053]

[0054] in, , and Refer to the above formula for calculation; S42, construct fault impedance value deviation vector: As vector elements, construct the fault impedance value deviation vector ;satisfy:

[0055] in, Indicates that the fault list When this fault occurs, all the first to the second The sequence of fault impedance deviation values ​​of capacitors, , and Similarly; S43, build a fault comparison table; and the fault impedance value deviation vector Match and get the fault comparison table ,satisfy:

[0056] in, Indicates the first The corresponding relationship between the fault type and the fault impedance value deviation vector is used as the element of the fault comparison table.

[0057] Step S5 specifically includes: S51. Calculate the actual equivalent impedance based on the measured partial voltage and the measured partial current of each component, satisfying:

[0058] in, , and Respectively represent The measured partial voltages, measured partial currents and actual impedance values ​​of the capacitors connected in parallel; , and Similarly; S52, calculating the actual impedance deviation of each component: calling the impedance value reference interval set, and calculating the actual impedance deviation value based on the actual impedance value to obtain the actual impedance deviation value set ,satisfy:

[0059]

[0060] in, Indicates The actual impedance deviation of the capacitors connected in parallel is , and Refer to the above formula for calculation; S53, constructing the actual impedance value deviation vector: As vector elements, construct the actual impedance value deviation vector ;satisfy:

[0061] in, Indicates all the 1st to 2nd parallel connections. The actual impedance deviation value of the capacitor is a sequence of , and Same reason.

[0062] Step S6 specifically includes: S61. Calculate the impedance value deviation vector deviation: based on the actual impedance value deviation vector Comparison table with faults Any fault impedance value deviation vector in The absolute value of the difference is used to calculate the impedance value deviation vector deviation ,satisfy:

[0063] in, It represents the deviation of the impedance value deviation vector, which is numerically equal to the difference between the actual impedance value deviation vector and the first The absolute value of the difference between the barrier impedance deviation vectors of the faults; S62, find the minimum deviation; satisfy:

[0064] in, represents the set of impedance value deviation vector deviations for all faults, Indicates the minimum value operation. represents the minimum deviation obtained, Indicates the fault number corresponding to the minimum deviation.

[0065] Step S6 also includes: S63, based on the fault number corresponding to the minimum deviation , call the fault comparison table and determine the fault type through comparison.

[0066] Step S6 also includes: S64, sending the determined fault type as early warning information to the management personnel. Specific embodiment 2 A power company is responsible for a 500 kV transmission line that uses five shunt capacitors (each with a capacity of 100 MVar) and three series reactors (each with a rated impedance of 50 Ω). The company hopes to improve the accuracy and efficiency of fault identification to reduce power outages and maintenance costs.

[0068] step: Build the simulation model: The simulation model of the transmission line is constructed using power system analysis software (such as PSCAD / EMTDC). The total capacity of the parallel capacitor is set to 500 MVar, and the total impedance of the series reactor is set to 150Ω.

[0069] Parameter characteristics collection: Under normal operating conditions, the system's current (e.g. 1000A), voltage (e.g. 500kV) and frequency (50Hz) data are collected in real time through sensors and recorded in the data acquisition system.

[0070] Establishing a fault database: A comparison table is established between the fault type and the corresponding characteristic vector (impedance), as shown below: Fault type characteristic impedance Short circuit fault 20 (1, 0, 0, 0) Ground fault 30 (0, 1, 0, 0) Open circuit fault 50 (0, 0, 1, 0) Device Failure 70 (0, 0, 0, 1) Fault identification process: When the system detects an abnormality (such as a sudden increase in current to 1500A), the fault identification program is started. The real-time measured impedance is 25Ω. The program calculates the vector distance from the fault comparison table: Short circuit fault: D1 = |25 - 20| = 5Ω Ground fault: D2 = |25 - 30| = 5Ω Open circuit fault: D3 = |25 - 50| = 25Ω Device failure: D4 = |25 - 70| = 45Ω It is found that the distances of ground fault and short circuit fault are both 5Ω, so further analysis is needed to confirm the specific fault type.

[0071] Multidimensional vector comparison: In further vector analysis, the real-time data is compared with the characteristic vectors of each fault type. For example, using vector operations: y real=(1000,500,50)|(current,voltage,frequency) y short_circuit =(1500,500,50)|(short circuit fault characteristics) The fault type is further confirmed manually.

[0072] Generate a crash report: The system generates a fault report indicating that the fault type identified is a ground fault and the recommended treatment measure is to check the grounding equipment.

[0073] Implement troubleshooting: Based on the fault report, the maintenance personnel quickly isolated the specific parallel capacitors. For example, if the second group of capacitors was found to be abnormal, they would immediately inspect and repair it to avoid causing a wider power outage.

[0074] Subsequent verification and optimization: After the fault was resolved, the system was monitored again to confirm that all equipment had resumed normal operation. After this process, the fault identification efficiency was increased by 30% and the processing time was reduced to 60% of the original.

[0075] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis, characterized in that: The following steps are involved: S1. Simulate and model the real circuit of parallel capacitors and series reactors: Simulate and model the real circuit according to the real circuit; S2, initializing the reference characteristic value parameters under normal conditions; sampling the response curve of the system under normal conditions of the real circuit, calculating the impedance value reference interval, and obtaining the impedance value reference interval set, wherein the impedance value reference interval represents the allowable range of the impedance value of the real circuit under normal conditions; S3. Constructing a fault list and a set of fault impedance values: constructing a fault list based on the faults that have occurred in history, and retrieving the fault impedance values ​​recorded when any fault in the fault list occurs in the real circuit to construct a set of fault impedance values; S4. Constructing a fault comparison table: Under different faults, the fault impedance deviation value is calculated based on the fault impedance value and the impedance value reference interval, and a fault comparison table is constructed; S5, sampling of the state to be measured and calculation of impedance value; for the current state to be measured of the power system, extracting the measured partial voltage and the measured partial current of each component in the real circuit, and calculating the actual equivalent impedance and the actual impedance value deviation vector; S6. Current fault determination: Based on the actual impedance value deviation vector, call the fault comparison table to determine the fault type and issue an early warning.

2. The fault identification method of parallel capacitors and series reactors based on parameter characteristic analysis according to claim 1 is characterized in that: In step S1, the system model function of the impedance complex form of the parallel capacitor and the series reactor in the real circuit satisfies: ； in, Indicates the impedance value of the reactor. Represents the impedance value of the capacitor, Represents resistance, represents the angular frequency, is an imaginary unit, represents inductance; The impedance of the circuit with parallel capacitors and series reactors satisfies: ； in, Indicates The impedance value of the capacitors connected in parallel is ; Indicates The impedance value of the parallel reactor is ; Indicates The impedance of the capacitors in series is ; and The impedance value of the parallel reactor is ; , , and Represents the total number of capacitors or reactors connected in parallel or series respectively.

3. The fault identification method of parallel capacitors and series reactors based on parameter characteristic analysis according to claim 1 is characterized in that: In step S2, the impedance value reference interval set satisfies: ； ； in: represents a set of impedance value reference intervals; Indicates The impedance value reference interval of the capacitors connected in parallel is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference range of the parallel-connected reactors is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the capacitors connected in series is: and Respectively represent the lower and upper limits of the impedance value reference interval; Indicates The impedance value reference interval of the series reactor is: and They represent the lower and upper limits of the impedance value reference interval respectively.

4. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 3 is characterized in that: Step S3 specifically includes: S31. Build a fault list: Build all faults that have appeared in historical reports into a set and remove duplicates to obtain a fault list ,satisfy: ； Among them, among them, superscript is the fault sequence number, Indicates the first kind of fault, , is the total number of faults in the fault list; S32. Retrieve the measured impedance value recorded when any fault in the fault list is encountered, and construct a fault impedance value set. ,satisfy: ； in, Indicates that the fault list When the fault The fault impedance value of the capacitors connected in parallel; , and Same reason.

5. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 4 is characterized in that: Step S4 specifically includes: S41, based on the fault impedance value set and the impedance value reference interval set in the fault impedance value set, calculate the fault impedance deviation value to obtain the fault impedance deviation value set ,satisfy: ； ； in, , and Refer to the above formula for calculation; S42, construct fault impedance value deviation vector: As vector elements, construct the fault impedance value deviation vector ;satisfy: ； in, Indicates that the fault list When this fault occurs, all the first to the second The sequence of fault impedance deviation values ​​of capacitors, , and Similarly; S43, build a fault comparison table; and the fault impedance value deviation vector Match and get the fault comparison table ,satisfy: ； in, Indicates the first The corresponding relationship between the fault type and the fault impedance value deviation vector is used as the element of the fault comparison table.

6. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 5, characterized in that: Step S5 specifically includes: S51. Calculate the actual equivalent impedance based on the measured partial voltage and the measured partial current of each component, satisfying: ； in, , and Respectively represent The measured partial voltages, measured partial currents and actual impedance values ​​of the capacitors connected in parallel; , and Similarly; S52, calculating the actual impedance deviation of each component: calling the impedance value reference interval set, and calculating the actual impedance deviation value based on the actual impedance value to obtain the actual impedance deviation value set ,satisfy: ； ； in, Indicates The actual impedance deviation of the capacitors connected in parallel is , and Refer to the above formula for calculation; S53, constructing the actual impedance value deviation vector: As vector elements, construct the actual impedance value deviation vector ;satisfy: ； in, Indicates all the 1st to 2nd parallel connections. The actual impedance deviation value of the capacitor is a sequence of , and Same reason.

7. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 6, characterized in that: Step S6 specifically includes: S61. Calculate the impedance value deviation vector deviation: based on the actual impedance value deviation vector Comparison table with faults Any fault impedance deviation vector in The absolute value of the difference is used to calculate the impedance value deviation vector deviation ,satisfy: ； in, It represents the deviation of the impedance value deviation vector, which is numerically equal to the difference between the actual impedance value deviation vector and the first The absolute value of the difference between the barrier impedance deviation vectors of the faults; S62, find the minimum deviation; satisfy: ； in, represents the set of impedance value deviation vector deviations for all faults, Indicates the minimum value operation. represents the minimum deviation obtained, Indicates the fault number corresponding to the minimum deviation.

8. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 7, characterized in that: Step S6 also includes: S63, fault sequence number corresponding to the minimum deviation , call the fault comparison table and determine the fault type through comparison.

9. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 8, characterized in that: Step S6 also includes: S64. Send the determined fault type as early warning information to the management personnel.

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