Capacitor detection method of reactive compensation equipment
By using the real-time monitoring and health status evaluation model for reactive compensation equipment, the health status and risk status of capacitors are accurately judged, and the problem of inaccurate detection of capacitors in the prior art is solved, and the efficiency of power utilization in the power grid is improved.
Patent Information
- Application Number
- CN202411570296.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-06
- Publication Date
- 2025-02-11
AI Technical Summary
Existing reactive power compensation equipment cannot accurately determine whether the capacitor needs to be repaired or replaced, resulting in the inability to effectively improve the power utilization efficiency of the power grid.
By real-time monitoring of reactive power compensation equipment in the power system, voltage, current and temperature data are collected, and these data are input into the trained health status evaluation model, the health status of the output capacitor is carried out, and the capacitor is judged through comprehensive evaluation and analysis. and determine whether it is necessary to repair or replace it based on judgment.
Accurate detection of capacitors of reactive compensation equipment is achieved, ensuring the improvement of grid power utilization efficiency, reducing grid losses, and improving grid quality.
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Figure CN119414125A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of light intensity prediction, and in particular to a capacitor detection method for reactive power compensation equipment. Background Art
[0002] Reactive power compensation equipment plays a role in improving the power factor of the power grid in the power supply system, reducing the loss of power supply transformers and transmission lines, improving power supply efficiency, and improving the power supply environment. Therefore, reactive power compensation devices are in an indispensable and very important position in the power supply system. Reasonable selection of compensation devices can minimize the loss of the power grid and improve the quality of the power grid. In order to improve the power quality of the power supply of the power grid, one of the commonly used methods is to use parallel capacitors to compensate for inductive reactive power, so as to improve the system voltage and power factor and reduce line losses.
[0003] The safety inspection of capacitors of reactive compensation equipment is a very important task in the operation and management of traditional power distribution facilities. Usually, the safety inspection of capacitors relies on uninterrupted manual work, which can timely detect the bulging and leakage of capacitors and organize replacement as soon as possible. However, it is difficult for manual work to monitor continuously for 24 hours, and there are often "fish that slip through the net". As a result, the phenomenon of capacitor fires inducing fires in distribution rooms often occurs. When a capacitor fails, it generally follows the process of internal impedance deviation → single group failure → heating bulge → electrolyte precipitation → heating, fire or combustion. With the increase of nonlinear devices such as inverters and LED lighting systems in power loads, the power quality has deteriorated significantly compared with before, and the frequency of capacitor failures has increased year by year.
[0004] However, the existing reactive power compensation equipment cannot accurately determine whether the capacitor in the reactive power compensation equipment needs to be repaired or replaced, and thus the reactive power compensation equipment cannot play a role in improving the efficiency of power grid energy utilization. Summary of the invention
[0005] The problem solved by the present invention is that the existing reactive power compensation equipment cannot accurately judge whether the capacitor in the reactive power compensation equipment needs to be repaired or replaced, so the reactive power compensation equipment cannot play a role in improving the utilization efficiency of power grid electric energy.
[0006] In order to solve the above problems, in a first aspect, the present invention provides a capacitor detection method for a reactive power compensation device, the method comprising:
[0007] Real-time monitoring of reactive power compensation equipment in the power system;
[0008] Input the real-time monitoring data into the trained health status assessment model and output the health status of the capacitor;
[0009] Performing a comprehensive evaluation and analysis on the health status of the capacitor, and determining the risk of the capacitor based on the comprehensive evaluation and analysis results;
[0010] The operation to be performed on the capacitor is determined according to the risk situation of the capacitor, and the operation to be performed on the capacitor is performed.
[0011] Preferably, the process of real-time monitoring of reactive power compensation equipment in the power system includes:
[0012] Use voltage sensors to collect voltage change data during the operation of reactive power compensation equipment, use current sensors to monitor the input current of reactive power compensation equipment, record current change data, install temperature sensors around capacitors, monitor the operating temperature of capacitors in real time, and record temperature change trends;
[0013] Collect the operating time and load conditions of reactive power compensation equipment;
[0014] External factors affecting device performance are recorded, including ambient temperature.
[0015] Preferably, the determination process of the health assessment model is as follows:
[0016] Establishing a preliminary database based on the historical data collected in advance in the power system, wherein the historical data includes the equipment information of the reactive compensation equipment and the data of each reactive compensation equipment and the ambient temperature data, wherein the data of the reactive compensation equipment includes the voltage change data, the current change data, and the temperature change data of the equipment components, and the data in the database also includes the operation time, load condition and environmental parameters of the reactive compensation equipment;
[0017] Conduct pattern recognition on historical data and establish health assessment models;
[0018] As the connected electrical equipment operates, the data in the database is updated;
[0019] Label the healthy and abnormal states of capacitors, and train and optimize the health assessment model.
[0020] Preferably, the specific process of inputting the real-time monitoring data into the trained health status assessment model and outputting the health status of the capacitor includes:
[0021] The trained health status assessment model is obtained through the formula express;
[0022] Among them, ω1, ω2, ω3, ω4, ω5, ω6 are the preset first weight coefficients; V τ is the voltage fluctuation amplitude; I τ is the current fluctuation amplitude; Tτ is the temperature difference; L is the load condition; is the load change rate, which indicates the load change amplitude per unit time; is the device temperature change rate, which indicates the change amplitude of the device temperature per unit time; is the bias, which represents the basic health status value of the model;
[0023] The capacitor risk factor H is calculated by formula (1);
[0024] The specific process of conducting a comprehensive evaluation and analysis on the health status of the capacitor and judging the risk of the capacitor based on the comprehensive evaluation and analysis results is as follows:
[0025] Compare the capacitor risk factor H with the preset range (H1, H2) to determine the risk of the capacitor.
[0026] Preferably, the specific process of determining the operation to be performed on the capacitor according to the risk situation of the capacitor and performing the operation on the capacitor is as follows:
[0027] If H≤H1, the capacitor is judged to be in a healthy state and there is no risk;
[0028] If H∈(H1,H2), the capacitor is judged to be in an abnormal state and there is a certain risk. The capacitor capacity coefficient is further detected to determine whether to repair or replace the capacitor in combination with the capacitor risk coefficient.
[0029] If H≥H2, the capacitor is judged to be in an abnormal state, a risk alarm signal is issued, and the capacitor is repaired or replaced in time.
[0030] Preferably, the specific process of further detecting the capacity of the capacitor to obtain the capacitor capacity coefficient is as follows:
[0031] Connect the capacitor to be tested in series with a known resistor and connect it to a DC power supply;
[0032] Connect a multimeter to both ends of the capacitor to measure a first voltage;
[0033] The capacitor is charged and the voltage changes with time, where the charging formula is as follows:
[0034] V c (t) = V·e -t / RC (2)
[0035] Among them, V c (t) is the voltage across the capacitor at time t; V is the power supply voltage; t is, R is the known resistance value; C is the capacity of the capacitor to be tested;
[0036] Use a multimeter to record the time it takes for the capacitor to charge to the preset voltage, and calculate the capacity of the capacitor to be tested. Formula (2) shows:
[0037]
[0038] Among them, V C is the voltage of the capacitor at time t;
[0039] By changing R and measuring t, the value of C is calculated;
[0040] By formula To calculate the capacitor capacity factor, substitute the capacitor capacity factor β.
[0041] Preferably, the specific process of determining whether to repair or replace the capacitor in combination with the capacitor risk factor is as follows:
[0042] By formula Calculate and obtain the risk factor R of file leakage;
[0043] Wherein, ω4 and ω5 are preset second weight coefficients; ΔH is a preset capacitor risk characteristic parameter reference value; Δβ is a preset capacitor capacity characteristic parameter reference value;
[0044] Compare the capacitor's comprehensive risk factor R with the preset range R1:
[0045] If R≤R1, there is no need to repair or replace the capacitor;
[0046] If R>R2, repair or replace the capacitor.
[0047] In a second aspect, a capacitor detection system for a reactive power compensation device is provided, the system comprising:
[0048] Monitoring module, used for real-time monitoring of reactive power compensation equipment in the power system;
[0049] A calculation module, used to input the real-time monitoring data into the trained health status assessment model and output the health status of the capacitor;
[0050] An analysis module is used to conduct a comprehensive evaluation and analysis on the health status of the capacitor, and determine the risk of the capacitor according to the comprehensive evaluation and analysis results;
[0051] The determination module is used to determine the operation to be performed on the capacitor according to the risk situation of the capacitor, and execute the operation on the capacitor.
[0052] In a third aspect, a computer-readable storage medium storing one or more programs is provided, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any of the methods described above.
[0053] In a fourth aspect, a computing device is provided, including:
[0054] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods described above.
[0055] The beneficial effects of the present invention are as follows:
[0056] The present invention provides a capacitor detection method for reactive power compensation equipment. By collecting data on the normal operation of the reactive power compensation equipment and taking it as a sample, it is determined whether the capacitor in the reactive power compensation equipment needs to be repaired or replaced, so as to give full play to the important role of the reactive power compensation equipment in improving the efficiency of power grid power utilization. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 A flow chart of a capacitor detection method for a reactive power compensation device according to an embodiment of the present invention;
[0058] Figure 2 4 is a block diagram of a capacitor detection device for reactive power compensation equipment in an embodiment of the present invention. DETAILED DESCRIPTION
[0059] In order to make the above-mentioned objects, features and advantages of the present invention more clearly understood, the following is a brief description of the present invention in conjunction with the attached drawings. Figure 1-2 The specific embodiments of the present invention are described in detail.
[0060] An embodiment of the present invention provides a capacitor detection method for a reactive compensation device. The method can be applied to the reactive compensation device. The executor of the method can be an intelligent terminal in the reactive compensation device, and can be assisted by a distribution network data storage library and a network server.
[0061] like Figure 1 As shown, the present invention provides a capacitor detection method for reactive power compensation equipment, the method comprising:
[0062] Real-time monitoring of reactive power compensation equipment in the power system; whenever electrical equipment is connected, real-time monitoring of reactive power compensation equipment is performed to obtain real-time monitoring data;
[0063] The real-time monitoring data is input into the trained health status assessment model, and the health status of the capacitor is output; by inputting the real-time monitoring data into the health status assessment model, the trained assessment model calculates and processes the monitoring data through the corresponding algorithm to obtain the health status of the capacitor;
[0064] Performing a comprehensive evaluation and analysis on the health status of the capacitor, and determining the risk of the capacitor based on the comprehensive evaluation and analysis results;
[0065] The operation to be performed on the capacitor is determined according to the risk situation of the capacitor, and the operation to be performed on the capacitor is performed.
[0066] In an embodiment, the process of real-time monitoring of reactive power compensation equipment in the power system includes:
[0067] Use voltage sensors to collect voltage change data during the operation of reactive power compensation equipment, use current sensors to monitor the input current of reactive power compensation equipment, record current change data, install temperature sensors around capacitors, monitor the operating temperature of capacitors in real time, and record temperature change trends;
[0068] Collect the operating time and load conditions of reactive power compensation equipment;
[0069] External factors affecting device performance are recorded, including ambient temperature.
[0070] In an embodiment, the determination process of the health assessment model is as follows:
[0071] Establishing a preliminary database based on the historical data collected in advance in the power system, wherein the historical data includes the equipment information of the reactive compensation equipment and the data of each reactive compensation equipment and the ambient temperature data, wherein the data of the reactive compensation equipment includes the voltage change data, the current change data, and the temperature change data of the equipment components, and the data in the database also includes the operation time, load condition and environmental parameters of the reactive compensation equipment;
[0072] Perform pattern recognition on historical data and establish a health assessment model; specifically, use training set data (i.e., historical data) to train the model, adjust parameters to optimize performance, and complete the establishment of the health assessment model;
[0073] As the connected electrical equipment operates, the data in the database is updated;
[0074] Label the healthy and abnormal states of capacitors, and train and optimize the health assessment model.
[0075] In an embodiment, the specific process of inputting the real-time monitoring data into the trained health status assessment model and outputting the health status of the capacitor includes:
[0076] The trained health status assessment model is obtained through the formula express;
[0077] Among them, ω1, ω2, ω3, ω4, ω5, ω6 are the preset first weight coefficients; V τ is the voltage fluctuation amplitude; I τ is the current fluctuation amplitude; T τ is the temperature difference; L is the load condition; is the load change rate, which indicates the load change amplitude per unit time; is the device temperature change rate, which indicates the change amplitude of the device temperature per unit time; is the bias, which represents the basic health status value of the model;
[0078] Among them, the voltage fluctuation amplitude V τ =max(V)-min(V), I τ =max(I)-min(I), T τ = | T d -T e |, where max(V), min(V), max(I) and min(I) represent the maximum voltage, minimum voltage, maximum current and minimum current respectively, T d Indicates the temperature change of equipment components, T e Indicates the ambient temperature;
[0079] The capacitor risk factor H is calculated by formula (1);
[0080] The specific process of conducting a comprehensive evaluation and analysis on the health status of the capacitor and judging the risk of the capacitor based on the comprehensive evaluation and analysis results is as follows:
[0081] Compare the capacitor risk factor H with the preset range (H1, H2) to determine the risk of the capacitor.
[0082] In an embodiment, the specific process of determining the operation to be performed on the capacitor according to the risk situation of the capacitor and performing the operation on the capacitor is as follows:
[0083] If H≤H1, the capacitor is judged to be in a healthy state and there is no risk;
[0084] If H∈(H1,H2), the capacitor is judged to be in an abnormal state and there is a certain risk. The capacitor capacity coefficient is further detected to determine whether to repair or replace the capacitor in combination with the capacitor risk coefficient.
[0085] If H≥H2, the capacitor is judged to be in an abnormal state, a risk alarm signal is issued, and the capacitor is repaired or replaced in time.
[0086] In an embodiment, the specific process of further detecting the capacity of the capacitor to obtain the capacitor capacity coefficient is as follows:
[0087] Connect the capacitor to be tested in series with a known resistor and connect it to a DC power supply;
[0088] Connect a multimeter to both ends of the capacitor to measure a first voltage;
[0089] The capacitor is charged and the voltage changes with time, where the charging formula is as follows:
[0090] V c (t) = V·e -t / RC (2)
[0091] Among them, V c (t) is the voltage across the capacitor at time t; V is the power supply voltage; t is, R is the known resistance value; C is the capacity of the capacitor to be tested;
[0092] Use a multimeter to record the time it takes for the capacitor to charge to the preset voltage, and calculate the capacity of the capacitor to be tested. Formula (2) shows:
[0093]
[0094] Among them, V C is the voltage of the capacitor at time t;
[0095] By changing R and measuring t, the value of C is calculated;
[0096] By formula To calculate the capacitor capacity factor, substitute the capacitor capacity factor β.
[0097] In the embodiment, the specific process of determining whether to repair or replace the capacitor in combination with the capacitor risk factor is as follows:
[0098] By formula Calculate and obtain the risk factor R of file leakage;
[0099] Wherein, ω4 and ω5 are preset second weight coefficients; ΔH is a preset capacitor risk characteristic parameter reference value; Δβ is a preset capacitor capacity characteristic parameter reference value;
[0100] Compare the capacitor's comprehensive risk factor R with the preset range R1:
[0101] If R≤R1, there is no need to repair or replace the capacitor;
[0102] If R>R2, repair or replace the capacitor.
[0103] It should be noted that when different electrical equipment is connected, the monitoring data of the reactive compensation equipment during normal operation is different. Therefore, the solution introduced in this embodiment is for the monitoring and processing after the same electrical equipment is connected. When monitoring different equipment, it is necessary to match the electrical equipment with the corresponding monitoring data during normal operation one by one. Specifically: after each electrical equipment is connected, real-time monitoring will be performed when the power system is running to collect real-time monitoring data of the reactive compensation equipment, including equipment voltage fluctuations, current fluctuations, and equipment component temperature changes. Data analysis and summary will be performed, and the collected data will be matched with the equipment one by one to establish a highly corresponding database, so that the next time the equipment is connected, the normal operating data collected previously will be used as a reference sample to determine whether the capacitor inside the reactive compensation equipment is in normal working condition, so as to determine whether the capacitor inside the reactive compensation equipment needs to be replaced or repaired.
[0104] like Figure 2 As shown, another embodiment of the present invention provides a capacitor detection system for reactive power compensation equipment, the system comprising:
[0105] Monitoring module, used for real-time monitoring of reactive power compensation equipment in the power system;
[0106] A calculation module, used to input the real-time monitoring data into the trained health status assessment model and output the health status of the capacitor;
[0107] An analysis module is used to conduct a comprehensive evaluation and analysis on the health status of the capacitor, and determine the risk of the capacitor according to the comprehensive evaluation and analysis results;
[0108] The determination module is used to determine the operation to be performed on the capacitor according to the risk situation of the capacitor, and execute the operation on the capacitor.
[0109] Yet another embodiment of the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, and when the instructions are executed by a computing device, the computing device executes any one of the methods described above.
[0110] Another embodiment of the present invention provides a computing device for a capacitor detection method of a reactive power compensation device, comprising:
[0111] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods described above.
[0112] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.
[0113] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.
[0114] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.
[0115] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A capacitor detection method for reactive power compensation equipment, characterized in that: The method comprises: Real-time monitoring of reactive power compensation equipment in the power system; Input the real-time monitoring data into the trained health status assessment model and output the health status of the capacitor; Performing a comprehensive evaluation and analysis on the health status of the capacitor, and determining the risk of the capacitor based on the comprehensive evaluation and analysis results; The operation to be performed on the capacitor is determined according to the risk situation of the capacitor, and the operation to be performed on the capacitor is performed.
2. The capacitor detection method of reactive power compensation equipment according to claim 1, characterized in that: The process of real-time monitoring of reactive power compensation equipment in the power system includes: Use voltage sensors to collect voltage change data during the operation of reactive power compensation equipment, use current sensors to monitor the input current of reactive power compensation equipment, record current change data, install temperature sensors around capacitors, monitor the operating temperature of capacitors in real time, and record temperature change trends; Collect the operating time and load conditions of reactive power compensation equipment; External factors affecting device performance are recorded, including ambient temperature.
3. The capacitor detection method of reactive power compensation equipment according to claim 2, characterized in that: The determination process of the health assessment model is as follows: Establishing a preliminary database based on the historical data collected in advance in the power system, wherein the historical data includes the equipment information of the reactive compensation equipment and the data of each reactive compensation equipment and the ambient temperature data, wherein the data of the reactive compensation equipment includes the voltage change data, the current change data, and the temperature change data of the equipment components, and the data in the database also includes the operation time, load condition and environmental parameters of the reactive compensation equipment; Conduct pattern recognition on historical data and establish health assessment models; As the connected electrical equipment operates, the data in the database is updated; Label the healthy and abnormal states of capacitors, and train and optimize the health assessment model.
4. The capacitor detection method of reactive power compensation equipment according to claim 3, characterized in that: The specific process of inputting real-time monitoring data into the trained health status assessment model and outputting the health status of the capacitor includes: The trained health status assessment model is obtained through the formula express; Among them, ω1, ω2, ω3, ω4, ω5, ω6 are the preset first weight coefficients; V τ is the voltage fluctuation amplitude; I τ is the current fluctuation amplitude; T τ is the temperature difference; L is the load condition; is the load change rate, which indicates the load change amplitude per unit time; is the device temperature change rate, which indicates the change amplitude of the device temperature per unit time; is the bias, which represents the basic health status value of the model; The capacitor risk factor H is calculated by formula (1); The specific process of conducting a comprehensive evaluation and analysis on the health status of the capacitor and judging the risk of the capacitor based on the comprehensive evaluation and analysis results is as follows: Compare the capacitor risk factor H with the preset range (H1, H2) to determine the risk of the capacitor.
5. The capacitor detection method of reactive power compensation equipment according to claim 4, characterized in that: The specific process of determining the operation to be performed on the capacitor according to the risk situation of the capacitor and performing the operation on the capacitor is as follows: If H≤H1, the capacitor is judged to be in a healthy state and there is no risk; If H∈(H1,H2), the capacitor is judged to be in an abnormal state and there is a certain risk. The capacitor capacity coefficient is further detected to determine whether to repair or replace the capacitor in combination with the capacitor risk coefficient. If H≥H2, the capacitor is judged to be in an abnormal state, a risk alarm signal is issued, and the capacitor is repaired or replaced in time.
6. The encryption system for file management security measures according to claim 5, characterized in that: The specific process of further detecting the capacity of the capacitor to obtain the capacitor capacity coefficient is as follows: Connect the capacitor to be tested in series with a known resistor and connect it to a DC power supply; Connect a multimeter to both ends of the capacitor to measure a first voltage; The capacitor is charged and the voltage changes with time, where the charging formula is as follows: V c (t)=V·e -t / RC (2) Among them, V c (t) is the voltage across the capacitor at time t; V is the power supply voltage; t is, R is the known resistance value; C is the capacity of the capacitor to be tested; Use a multimeter to record the time it takes for the capacitor to charge to the preset voltage, and calculate the capacity of the capacitor to be tested. Formula (2) shows: Among them, V C is the voltage of the capacitor at time t; By changing R and measuring t, the value of C is calculated; By formula To calculate the capacitor capacity factor, substitute the capacitor capacity factor β.
7. The encryption system for file management security measures according to claim 6, characterized in that: The specific process of judging whether to repair or replace the capacitor based on the capacitor risk factor is as follows: By formula Calculate and obtain the risk factor R of file leakage; Wherein, ω4 and ω5 are preset second weight coefficients; Δβ is a preset capacitor risk characteristic parameter reference value; ΔH is a preset capacitor capacity characteristic parameter reference value; Compare the capacitor's comprehensive risk factor R with the preset range R1: If R≤R1, there is no need to repair or replace the capacitor; If R>R2, repair or replace the capacitor.
8. A capacitor detection system for reactive power compensation equipment, characterized in that: The system comprises: Monitoring module, used for real-time monitoring of reactive power compensation equipment in the power system; A calculation module, used to input the real-time monitoring data into the trained health status assessment model and output the health status of the capacitor; An analysis module is used to conduct a comprehensive evaluation and analysis on the health status of the capacitor, and determine the risk of the capacitor according to the comprehensive evaluation and analysis results; The determination module is used to determine the operation to be performed on the capacitor according to the risk situation of the capacitor, and execute the operation on the capacitor.
9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions which, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1-7.
10. A computing device for a capacitor detection method of a reactive compensation device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods according to claims 1-7.
Citation Information
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