Fault Identification Method for Shunt Capacitors and Series Reactors Based on Parameter Characteristic Analysis

Abstract

The present invention provides a fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis; the method comprises the following steps: simulating and modeling the real circuit, initializing the reference characteristic value under normal state; constructing a fault list and a set of fault impedance values; constructing a fault comparison table based on the impedance deviation values ​​under different faults; sampling the state to be tested of the power system, calculating the actual impedance deviation vector, determining the fault type through the comparison table and issuing an early warning. The method can realize accurate fault identification and real-time monitoring, improve the reliability of the power system, reduce economic losses and safety risks, and has strong practical value.

Description

Technical Field

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

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

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

[0004] Currently, for the fault identification and detection of shunt capacitors and series reactors, the following technical routes are mainly adopted:

[0005] 1. Fault diagnosis based on electrical parameter monitoring: Real-time monitor electrical parameters such as current, voltage, and power factor through sensing devices and analyze them in combination with a fault diagnosis model. The changes in these parameters can reflect the operating state of the equipment.

[0006] 2. Vibration analysis technology: Use sensors to monitor the vibration of the equipment and judge whether there are mechanical faults by analyzing the vibration signals. This method is usually applicable to equipment with a relatively large capacity.

[0007] 3. Infrared thermal imaging technology: Use an infrared thermal imaging instrument to detect the temperature distribution of the equipment, identify overheating phenomena, and thus judge whether there are faults in the equipment. This technology can perform detection without affecting the operation of the equipment.

[0008] 4. Intelligent algorithms and machine learning: Collect a large amount of historical fault data and use machine learning algorithms to establish a fault identification model, thereby improving the accuracy and efficiency of fault identification.

[0009] The problems existing in the above-mentioned existing technical means include:

[0010] 1. Strong data dependence: Traditional methods often rely on a large amount of historical data to train the model, and in some new equipment or new application scenarios, there is a lack of sufficient data samples, resulting in reduced applicability of the model.

[0011] 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.

[0012] 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.

[0013] 4. Poor equipment integration: The integration and synergy between different technical routes are poor, resulting in low overall efficiency of fault identification.

[0014] 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

[0015] In view of the above problems, the object of the present invention is to propose:

[0016] A fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis comprises the following steps:

[0017] S1. Simulate and model the real circuit of parallel capacitors and series reactors: Simulate and model the real circuit according to the real circuit;

[0018] 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;

[0019] 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;

[0020] 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;

[0021] 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;

[0022] 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.

[0023] Further, in the step S1, the system model function in the complex form of the impedance of the parallel capacitor and the series reactor in the real circuit satisfies:

[0024]

[0025] Wherein, represents the impedance value of the reactor; represents the impedance value of the capacitor; represents the resistance; represents the angular frequency; is the imaginary unit; represents the inductance;

[0026] The impedance of the circuit of the parallel capacitor and the series reactor satisfies:

[0027] Wherein, represents the th impedance value of the parallel capacitor; ; represents the th impedance value of the parallel reactor; ; represents the th impedance value of the series capacitor; ; and represent the th impedance value of the parallel reactor; ; , , and respectively represent the total numbers of the parallel or series capacitors or reactors;

[0028] Further, in the step S2, the impedance value reference interval set satisfies:

[0029]

[0030]

[0031] Wherein: represents the impedance value reference interval set; represents the th impedance value reference interval of the parallel capacitor, and respectively represent the lower bound and the upper bound of the impedance value reference interval; represents the th impedance value reference interval of the parallel reactor, and respectively represent the lower bound and the upper bound of the impedance value reference interval; represents the The impedance value reference range of a series of capacitors, and respectively represent the lower and upper bounds of the impedance value reference range; represents the impedance value reference range of the th series reactor, and respectively represent the lower and upper bounds of the impedance value reference range.

[0032] Furthermore, step S3 specifically includes:

[0033] S31. Construct a fault list: Combine all the faults that have appeared in the historical report and remove duplicates to obtain a fault list , satisfying:

[0034]

[0035] where the superscript is the fault serial number, represents the rd fault in the fault list, , is the total number of faults in the fault list;

[0036] S32. Retrieve the measured impedance value recorded when any one of the faults in the fault list is selected, and construct a fault impedance value set , satisfying:

[0037]

[0038] where represents the fault impedance value of the th parallel capacitor when the th fault in the fault list occurs; , and similarly.

[0039] Furthermore, step S4 specifically includes:

[0040] S41. Calculate the fault impedance deviation value based on the fault impedance value set and the impedance value reference range set in the fault impedance value set, and obtain a fault impedance deviation value set , satisfying:

[0041]

[0042]

[0043] where , and Calculate according to the above formula;

[0044] S42. Construct a fault impedance value deviation vector: Take as vector elements to construct a fault impedance value deviation vector ; Satisfy:

[0045]

[0046] wherein, represents the sequence of the fault impedance deviation values of the first to the th capacitors in parallel when the th fault in the fault list occurs, , and are the same;

[0047] S43. Construct a fault comparison table; Match the fault list with the fault impedance value deviation vector to obtain a fault comparison table , Satisfy:

[0048]

[0049] wherein, represents the correspondence between the th fault in the fault list and the fault impedance value deviation vector, as an element of the fault comparison table.

[0050] Furthermore, step S5 specifically includes:

[0051] S51. Calculate the actual equivalent impedance based on the measured partial voltage and measured partial current of each component, satisfy:

[0052]

[0053] wherein, , and respectively represent the measured partial voltage, measured partial current and actual impedance value of the th capacitor in parallel; , and are the same;

[0054] S52. Calculate the actual impedance value deviation of each component: Call the impedance value reference interval set, and calculate the actual impedance deviation value based on the actual impedance value to obtain an actual impedance deviation value set , Satisfy:

[0055]

[0056]

[0057] Among them, represents the actual impedance deviation value of the th parallel capacitor, , and are calculated with reference to the above formula;

[0058] S53. Construct the actual impedance value deviation vector: Use as the vector elements to construct the actual impedance value deviation vector ; Satisfy:

[0059]

[0060] Among them, represents the sequence of the actual impedance deviation values of the first to the th capacitors in all parallel connections, , and are the same by analogy.

[0061] Furthermore, step S6 specifically includes:

[0062] S61. Calculate the deviation degree of the impedance value deviation vector: Based on the actual impedance value deviation vector and any fault impedance value deviation vector in the fault comparison table , calculate the deviation degree of the impedance value deviation vector , satisfy:

[0063]

[0064] Among them, represents the deviation degree of the impedance value deviation vector, which numerically equals the absolute value of the difference between the actual impedance value deviation vector and the fault impedance value deviation vector of the th fault in the fault list;

[0065] S62. Obtain the minimum deviation degree; satisfy:

[0066]

[0067] Among them, represents the set of the deviation degrees of the impedance value deviation vectors for all faults, represents the operation of obtaining the minimum value, represents the obtained minimum deviation degree, represents the fault serial number corresponding to the minimum deviation degree.

[0068] Further, step S6 further includes: S63. Based on the fault sequence number corresponding to the minimum deviation , call the fault comparison table and determine the fault type by comparison.

[0069] Further, step S6 further includes: S64. Send the determined fault type to the management personnel as a warning message.

[0070] The beneficial effects of the present invention are as follows:

[0071] 1. Precise fault identification: By constructing a simulation model of the actual circuit and benchmark characteristic values, faults in the power system can be identified and located more accurately. This method reduces misjudgments caused by empirical judgments or inaccurate parameters in traditional fault identification and improves the accuracy of fault diagnosis.

[0072] 2. Real-time monitoring ability: By sampling the impedance value of the system in real time, this method can quickly respond to the state changes of the power system, thereby realizing timely warning of potential faults. This rapid response ability is often lacking in traditional methods and helps to reduce economic losses and safety risks caused by faults.

[0073] 3. Comprehensive fault data analysis: The constructed fault list and set of fault impedance values provide a rich historical data basis, making fault comparison more scientific and comprehensive. This data-driven method can provide more valuable fault patterns compared to traditional techniques based on single cases.

[0074] 4. Efficient fault comparison and judgment: By constructing a fault comparison table, the actually measured impedance value can be quickly matched with the historical fault patterns, significantly improving the efficiency of fault determination. This automated comparison mechanism reduces the complexity of manual operations and the risk of human errors.

[0075] 5. Enhanced system reliability: Through regular condition monitoring and fault identification, the service life of the power system can be effectively extended, the occurrence of unexpected shutdowns can be reduced, and the reliability of the entire system can be improved. This is crucial for maintaining the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0077] To deepen the understanding of the present invention, the following will further elaborate on the present invention in conjunction with embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0078] Embodiment 1

[0079] According to Figure 1As shown in the figure, this embodiment provides a fault identification method for shunt capacitors and series reactors based on parameter characteristic analysis, including the following steps:

[0080] S1. Perform simulation modeling on the actual circuits of shunt capacitors and series reactors: Carry out simulation modeling according to the actual circuits;

[0081] S2. Initialize the reference characteristic value parameters in the normal state; Under the normal state of the actual circuits, sample the response curves of the system, calculate the impedance value reference interval, and obtain the set of impedance value reference intervals. The impedance value reference interval represents the allowable range of the impedance value of the actual circuits in the normal state;

[0082] S3. Construct a fault list and a set of fault impedance values: Based on the faults that have occurred in history, construct a fault list, and retrieve the fault impedance values recorded when any one of the faults in the fault list appears in the actual circuits to construct a set of fault impedance values;

[0083] S4. Construct a fault comparison table: Under different faults, calculate the fault impedance deviation values based on the fault impedance values and the impedance value reference intervals, and construct a fault comparison table;

[0084] S5. Sample the measured state and calculate the impedance value; For the current measured state of the power system, extract the measured partial voltages and measured partial currents of each component in the actual circuits, and calculate the actual equivalent impedance and the actual impedance value deviation vector;

[0085] S6. Determine the current fault: Based on the actual impedance value deviation vector, call the fault comparison table to determine the fault type and give an early warning.

[0086] In the step S1, the system model function in the complex form of the impedance of the shunt capacitors and series reactors in the actual circuits satisfies:

[0087]

[0088] Among them, represents the impedance value of the reactor, represents the impedance value of the capacitor, represents the resistance, represents the angular frequency, is the imaginary unit, represents the inductance;

[0089] The impedance of the circuits of the shunt capacitors and series reactors satisfies:

[0090]

[0091] Among them, represents the th impedance value of the parallel capacitors, ; represents the impedance value of the th shunt reactor, ; represents the impedance value of the th series capacitor, ; and represents the impedance value of the th shunt reactor, ; , , and respectively represent the total number of shunt or series capacitors or reactors;

[0092] In step S2, the impedance value reference interval set satisfies:

[0093]

[0094]

[0095] where: represents the impedance value reference interval set; represents the impedance value reference interval of the th shunt capacitor, and respectively represent the lower and upper bounds of the impedance value reference interval; represents the impedance value reference interval of the th shunt reactor, and respectively represent the lower and upper bounds of the impedance value reference interval; represents the impedance value reference interval of the th series capacitor, and respectively represent the lower and upper bounds of the impedance value reference interval; represents the impedance value reference interval of the th series reactor, and respectively represent the lower and upper bounds of the impedance value reference interval.

[0096] Step S3 specifically includes:

[0097] S31. Construct a fault list: Construct a set of all faults that have occurred in the historical report and remove duplicates to obtain a fault list , satisfying:

[0098]

[0099] where the superscript is the fault serial number, indicating the th fault in the fault list, , is the total number of faults in the fault list;

[0100] S32. When retrieving any one of the faults in the fault list, record the measured impedance value, and construct a set of fault impedance values , satisfying:

[0101]

[0102] Among them, indicates the fault impedance value of the th parallel capacitor when the th fault in the fault list occurs; , and are the same by analogy.

[0103] Step S4 specifically includes:

[0104] S41. Based on the set of fault impedance values and the set of impedance value reference intervals in the set of fault impedance values, calculate the fault impedance deviation value to obtain a set of fault impedance deviation values , satisfying:

[0105]

[0106]

[0107] Among them, , and are calculated with reference to the above formula;

[0108] S42. Construct a fault impedance value deviation vector: Use as vector elements to construct a fault impedance value deviation vector ; satisfying:

[0109]

[0110] Among them, indicates the sequence of fault impedance deviation values of all parallel first to th capacitors when the th fault in the fault list occurs, , and are the same by analogy;

[0111] S43. Construct a fault comparison table; Use the fault list and the fault impedance value deviation vector Match to obtain a fault comparison table , satisfying:

[0112]

[0113] Among them, represents the correspondence between the th fault in the fault list and the fault impedance value deviation vector, as an element of the fault comparison table.

[0114] Step S5 specifically includes:

[0115] S51. Calculate the actual equivalent impedance based on the measured partial voltage and measured partial current of each component, satisfying:

[0116]

[0117] Among them, , and respectively represent the measured partial voltage, measured partial current, and actual impedance value of the th parallel capacitor; , and similarly;

[0118] S52. Calculate the actual impedance value deviation of each component: Call the set of impedance value reference intervals, and calculate the actual impedance deviation value based on the actual impedance value to obtain a set of actual impedance deviation values , satisfying:

[0119]

[0120]

[0121] Among them, represents the actual impedance deviation value of the th parallel capacitor, , and are calculated with reference to the above formula;

[0122] S53. Construct an actual impedance value deviation vector: Use as the vector element to construct an actual impedance value deviation vector ; satisfying:

[0123]

[0124] Among them, represents the sequence of actual impedance deviation values of the first to the th capacitors in all parallel connections, , and Similarly

[0125] Step S6 specifically includes:

[0126] S61. Calculate the deviation degree of the impedance value deviation vector: Based on the actual impedance value deviation vector and the fault comparison table any one of the fault impedance value deviation vectors calculate the deviation degree of the impedance value deviation vector , satisfying:

[0127]

[0128] where represents the deviation degree of the impedance value deviation vector, which numerically equals the absolute value of the difference between the actual impedance value deviation vector and the impedance value deviation vector of the th fault in the fault list;

[0129] S62. Obtain the minimum deviation degree; satisfying:

[0130]

[0131] where represents the set of deviation degrees of the impedance value deviation vectors for all faults, represents the operation of obtaining the minimum value, represents the obtained minimum deviation degree, represents the fault serial number corresponding to the minimum deviation degree.

[0132] Step S6 further includes: S63. Based on the fault serial number corresponding to the minimum deviation degree, call the fault comparison table and determine the fault type through comparison.

[0133] Step S6 further includes: S64. Send the determined fault type as a warning message to the management personnel. Specific Embodiment 2

[0135] A power company is responsible for a 500 kV transmission line, which uses 5 groups of shunt capacitors (each group with a capacity of 100 MVar) and 3 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 outage events and maintenance costs.

[0136] Steps:

[0137] Build a simulation model:

[0138] Build a simulation model of this transmission line using power system analysis software (such as PSCAD / EMTDC). Set the total capacity of the shunt capacitors to 500 MVar and the total impedance of the series reactors to 150 Ω.

[0139] Parameter characteristic acquisition:

[0140] Under normal operating conditions, the current (e.g., 1000 A), voltage (e.g., 500 kV), and frequency (50 Hz) data of the system are collected in real time by sensors and recorded in the data acquisition system.

[0141] Establish a fault database:

[0142] Establish a comparison table between fault types and corresponding eigenvectors (impedances). An example is as follows:

[0143] Fault type Characteristic impedance

[0144] Short - circuit fault 20 (1, 0, 0, 0)

[0145] Ground fault 30 (0, 1, 0, 0)

[0146] Open - circuit fault 50 (0, 0, 1, 0)

[0147] Equipment fault 70 (0, 0, 0, 1)

[0148] Fault identification process:

[0149] When the system detects an anomaly (such as the current suddenly increasing to 1500 A), start the fault identification program. The impedance measured in real time is 25 Ω. The program calculates the vector distance from the fault comparison table:

[0150] Short - circuit fault: D1 = |25 - 20| = 5 Ω

[0151] Ground fault: D2 = |25 - 30| = 5 Ω

[0152] Open - circuit fault: D3 = |25 - 50| = 25 Ω

[0153] Equipment fault: D4 = |25 - 70| = 45 Ω

[0154] It is found that the distances for both the ground fault and the short - circuit fault are 5 Ω. Therefore, further analysis is required to confirm the specific fault type.

[0155] Multi - dimensional vector comparison:

[0156] In further vector analysis, compare the real - time data with the eigenvectors of each fault type. For example, using vector operations:

[0157] y real =(1000, 500, 50)|(Current, Voltage, Frequency)

[0158] y short_circuit =(1500, 500, 50)|(Short - circuit fault characteristics)

[0159] Manually further confirm the fault type.

[0160] Generate a fault report:

[0161] The system generates a fault report, indicating that the identified fault type is a ground fault, and the recommended handling measure is to inspect the grounded equipment.

[0162] Implement fault handling:

[0163] The operation and maintenance personnel isolate the specific shunt capacitor according to the fault report. For example, if it is found that the second group of capacitors is abnormal, immediately repair it to avoid a wider - range power outage.

[0164] Subsequent verification and optimization:

[0165] After the fault handling is completed, monitor the system status again to confirm that all equipment has returned to normal operation. After this treatment, the fault identification efficiency has increased by 30%, and the handling time has been shortened to 60% of the original.

[0166] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above - mentioned embodiments. What is described in the above - mentioned embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended 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; the system model function of the impedance complex form of parallel capacitors and series reactors 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 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; S2. Initialize the reference characteristic value parameters under normal conditions; when the real circuit is under normal conditions, sample the response curve of the system, calculate the impedance value reference interval, and obtain a set of impedance value reference intervals, wherein the impedance value reference interval represents the allowable range of the impedance value of the real circuit under normal conditions; 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 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 Respectively represent the lower and upper limits of the impedance value reference interval; S3. Constructing a fault list and a set of fault impedance values: Based on the faults that have occurred in history, construct a fault list, and retrieve 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; specifically, including: 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 Similarly; 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; specifically, the following steps are included: 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 faults and the fault impedance value deviation vectors is used as the elements of the fault comparison table; 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; specifically including: 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 Similarly; 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; specifically, it 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.

2. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 1 is 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.

3. The fault identification method for parallel capacitors and series reactors based on parameter characteristic analysis according to claim 2 is 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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