A high-voltage switching method and device applied to a 220kV voltage transformer detection platform

Abstract

This application provides a high-voltage switching method and apparatus for a 220kV voltage transformer testing platform, relating to the field of high-voltage testing. The method includes: preprocessing operating parameters and obtaining the operating state characteristic quantities corresponding to the high-voltage circuit under test using the preprocessed operating parameters; constructing the inductance to be supplemented corresponding to candidate compensation branches based on an equivalent parameter model; obtaining compensation branches that meet preset screening conditions from the candidate compensation branches as target compensation branch combinations through the inductance to be supplemented and device operating constraints; and performing switching control on the target compensation branch combinations according to zero-point synchronization conditions to achieve high-voltage switching of the high-voltage circuit under test. This application solves the problem of unstable high-voltage switching in traditional 220kV voltage transformer testing technology under high-voltage and high-current conditions, where the switching timing lacks zero-point synchronization guarantee and insulation conditions cannot be verified in real time, making it difficult to avoid arc generation, current surges, and voltage overshoots.

Description

Technical Field

[0001] This application relates to the field of high voltage detection, and in particular to a high voltage switching method and apparatus for use in a 220kV voltage transformer detection platform. Background Technology

[0002] With the increasing demands for accuracy testing and operational safety of high-voltage electrical equipment in power systems, voltage transformer field testing technology is gradually developing towards higher voltage, higher current, higher automation, and greater intelligence. Traditional voltage transformer testing typically relies on manual operation or large high-voltage switchgear. While meeting basic testing requirements, these switching methods suffer from insufficient flexibility, slow response speed, and high energy consumption.

[0003] Traditional 220kV voltage transformer testing technology, while capable of automatically detecting and calibrating errors in some voltage transformers, primarily relies on manual switching and fixed reactor operation for reactor bank compensation. In this process, the switching of compensation branches depends on manual or fixed-position control, making real-time compensation adjustment based on the operating status of the tested high-voltage circuit impossible. Especially under high-voltage, high-current conditions, the lack of zero-point synchronization during switching and the inability to verify insulation conditions in real time make it difficult to avoid arcing, current surges, and voltage overshoots, resulting in unstable high-voltage switching.

[0004] Therefore, there is an urgent need for a high-voltage switching method and device for use in 220kV voltage transformer testing platforms. Summary of the Invention

[0005] This application provides a high-voltage switching method and device for a 220kV voltage transformer testing platform, which solves the problem of unstable high-voltage switching in traditional 220kV voltage transformer testing technology when operating under high voltage and high current conditions. This is because the switching time does not have zero-point synchronization guarantee and the insulation conditions cannot be checked in real time, making it difficult to avoid arc generation, current surge and voltage overshoot.

[0006] The first aspect of this application provides a high-voltage switching method applied to a 220kV voltage transformer testing platform. The method includes: acquiring the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform and preprocessing the operating parameters, which include voltage parameters, current parameters, and inductance parameters; acquiring the operating state characteristic quantities corresponding to the high-voltage circuit under test through the preprocessed operating parameters; constructing an equivalent parameter model based on the operating state characteristic quantities, and constructing the inductance to be supplemented corresponding to the candidate compensation branches according to the equivalent parameter model; acquiring the compensation branches that meet the preset screening conditions among the candidate compensation branches as the target compensation branch combination through the inductance to be supplemented and the device operating constraints; determining the zero-point synchronization conditions according to the operating state characteristic quantities, and performing switching control on the target compensation branch combination according to the zero-point synchronization conditions to realize the high-voltage switching of the high-voltage circuit under test.

[0007] Optionally, the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform are obtained, and the operating parameters are preprocessed, specifically including: amplitude and phase correction of voltage parameters by using a phase-locked loop method based on reference signals; harmonic component filtering and effective value extraction of current parameters by using a combination of frequency domain filtering and time domain statistics; and dynamic compensation and normalization of inductance parameters by introducing a modeling method with temperature and frequency correction factors.

[0008] Optionally, by preprocessing the operating parameters, the operating state characteristic quantities corresponding to the high-voltage circuit under test are obtained, specifically including: extracting power factor characteristics based on the phase relationship between voltage and current parameters; extracting impedance characteristics based on the amplitude relationship between voltage and current parameters; extracting equivalent reactance characteristics based on the dynamic change of inductance parameters; and using the power factor characteristics, impedance characteristics, and equivalent reactance characteristics as operating state characteristic quantities.

[0009] Optionally, an equivalent parameter model is constructed based on the operating state characteristics, specifically including: performing correlation calculations on the power factor characteristics, impedance characteristics, and equivalent reactance characteristics under the same modeling framework, and establishing equivalent parameter relationships; and constructing an equivalent parameter model based on the equivalent parameter relationships.

[0010] Optionally, by considering the inductance to be supplemented and device operating constraints, compensation branches that meet preset screening conditions are selected as the target compensation branch combination. Specifically, this includes: comparing the inductance value of each candidate compensation branch with the inductance to be supplemented, and eliminating candidate compensation branches whose deviation exceeds the preset inductance range; further selecting candidate compensation branches that meet preset screening conditions from the remaining candidate compensation branches, including constraints on the number of interruptions, temperature, rated current carrying capacity, and insulation margin; combining the candidate compensation branches that meet the preset screening conditions according to the inductance to be supplemented, and using the combination result as the target compensation branch combination.

[0011] Optionally, before determining the zero-point synchronization conditions based on the operating state characteristics and performing switching control on the target compensation branch combination based on the zero-point synchronization conditions, it is necessary to construct safety judgment constraints: obtain the pressure monitoring data and temperature monitoring data corresponding to the target body insulation component; based on the pressure monitoring data and temperature monitoring data, determine whether the insulation strength of the target body insulation component is within the preset strength range; if the insulation strength is not within the preset strength range, stop performing switching control.

[0012] Optionally, after determining the zero-point synchronization condition based on the operating state characteristic quantities and performing switching control on the target compensation branch combination according to the zero-point synchronization condition to achieve high-voltage switching of the measured high-voltage circuit, the method further includes: after the switching control is completed, acquiring the current and voltage deviation data of the 220kV voltage transformer detection platform within the stable time window; determining whether the current and voltage deviation data is greater than the preset deviation value; if the current and voltage deviation data is greater than the preset deviation value, constructing a deviation feature vector based on the current and voltage deviation data; comparing the deviation feature vector with the pre-stored operating state characteristic quantity database to determine the source of parameter mismatch causing the deviation; updating the configuration parameters in the equivalent parameter model based on the source of parameter mismatch; and constructing a corrected compensation branch combination based on the updated equivalent parameter model.

[0013] A second aspect of this application provides a high-voltage switching device for a 220kV voltage transformer testing platform. The device includes an acquisition module and a processing module, wherein... The acquisition module is used to acquire the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform and to preprocess the operating parameters, which include voltage parameters, current parameters and inductance parameters.

[0014] The processing module is used to obtain the operating state characteristic quantities corresponding to the high-voltage circuit under test through preprocessed operating parameters; construct an equivalent parameter model based on the operating state characteristic quantities; construct the inductance to be supplemented corresponding to the candidate compensation branches according to the equivalent parameter model; obtain the compensation branches that meet the preset screening conditions among the candidate compensation branches as the target compensation branch combination through the inductance to be supplemented and the device operating constraints; determine the zero-point synchronization conditions according to the operating state characteristic quantities; and perform switching control on the target compensation branch combination according to the zero-point synchronization conditions to realize the high-voltage switching of the high-voltage circuit under test.

[0015] A third aspect of this application provides an electronic device including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described above.

[0016] A fourth aspect of this application provides a computer-readable storage medium storing a computer program, which is executed by a processor using the method described in any of the foregoing descriptions.

[0017] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. Preprocess the operating parameters and obtain the corresponding operating state characteristic quantities of the high-voltage circuit under test through the preprocessed operating parameters; construct the inductance to be supplemented corresponding to the candidate compensation branch according to the equivalent parameter model; obtain the compensation branch that meets the preset screening conditions among the candidate compensation branches as the target compensation branch combination through the inductance to be supplemented and the device operating constraints; perform switching control on the target compensation branch combination according to the zero-point synchronization condition to realize the high-voltage switching of the high-voltage circuit under test, thereby avoiding arc, current impact and voltage overshoot caused by manual or fixed-gap switching, ensuring the stability and safety of the switching process, improving the automation and accuracy of compensation branch switching, and significantly improving the reliability and detection accuracy of the 220kV voltage transformer detection platform under high voltage and high current conditions.

[0018] 2. Obtain pressure and temperature monitoring data corresponding to the insulation components of the target body; based on the pressure and temperature monitoring data, determine whether the insulation strength of the insulation components of the target body is within the preset strength range; if the insulation strength is not within the preset strength range, stop executing the switching control, thereby avoiding high-voltage switching under insufficient insulation capacity, preventing arc breakdown and equipment damage caused by the decrease in dielectric strength, and ensuring the insulation safety and system operation reliability during the high-voltage switching process.

[0019] 3. After the switching control is completed, acquire the current and voltage deviation data of the 220kV voltage transformer detection platform within the stable time window; determine whether the current and voltage deviation data is greater than the preset deviation value; if the current and voltage deviation data is greater than the preset deviation value, construct a deviation feature vector based on the current and voltage deviation data; compare the deviation feature vector with the pre-stored operating status feature quantity database to determine the source of parameter mismatch causing the deviation; based on the source of parameter mismatch, update the configuration parameters in the equivalent parameter model; construct a corrected compensation branch combination based on the updated equivalent parameter model, thereby realizing the dynamic repair and iterative optimization of the compensation branch, ensuring that the inductance to be supplemented during subsequent high-voltage switching is consistent with the actual electrical characteristics, improving the switching accuracy and the stability and reliability of the detection platform under complex working conditions. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a high-voltage switching method applied to a 220kV voltage transformer testing platform provided in an embodiment of this application. Figure 2This is a schematic diagram of a high-voltage switching device applied to a 220kV voltage transformer testing platform, provided in an embodiment of this application. Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0021] Explanation of reference numerals in the attached drawings: 21. Acquisition module; 22. Processing module; 301. Processor; 302. Communication bus; 303. User interface; 304. Network interface; 305. Memory. Detailed Implementation

[0022] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0023] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0024] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0025] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0026] Please refer to Figure 1 The diagram illustrates a high-voltage switching method for a 220kV voltage transformer testing platform provided in this application embodiment. The flowchart mainly includes the following steps: S101 to S105.

[0027] Step S101: Obtain the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform, and preprocess the operating parameters.

[0028] Specifically, this invention relates to a 220kV voltage transformer intelligent testing platform. Its principle involves a test transformer step-up, with a medium-voltage winding for parallel connection of reactive power compensation reactors. This device is used for the automatic switching of the medium-voltage side reactive power compensation reactor group. The device withstands voltages of 1kV to 10kV and operating currents of 10A to 1000A, and can automatically switch under high voltage and high current conditions. Furthermore, the device is small in size and easy to control. This invention includes high-voltage terminals, contactor groups, SF6 gas insulation components, a sealed flange terminal block, an automatic control module, and a local control module. The high-voltage terminals are used for the connection and exit of high-voltage, high-current cables. The contactor groups and SF6 gas insulation components work together to safely interrupt high-current circuits under high voltage conditions. The sealed flange terminal block is used for the introduction of external control signals and power. The automatic control module and the local control module are used for logic judgment, switching control, and manual intervention operations, respectively.

[0029] In one possible implementation, step S101 further includes: acquiring the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform, and preprocessing the operating parameters, specifically including: performing amplitude and phase correction on the voltage parameters using a phase-locked loop method based on a reference signal; filtering out harmonic components and extracting the effective value of the current parameters using a combination of frequency domain filtering and time domain statistics; and performing dynamic compensation and normalization processing on the inductance parameters using a modeling method that introduces temperature and frequency correction factors.

[0030] Specifically, the voltage and current of the high-voltage circuit under test are introduced through the high-voltage terminal block. The contactor group and SF6 gas insulation component work together to provide safety isolation under high-voltage conditions. The sealed flange terminal block completes the lead-out of the measurement and control link. The automatic control module and the local control module coordinate the measurement and preprocessing process, thereby obtaining the raw data of voltage, current, and inductance parameters and entering the preprocessing stage. The device structure and function are as described in the claim, including the high-voltage terminal block, contactor group, sealed flange terminal block, gas inlet, SF6 gas insulation component, automatic control module, and local control module. It can complete high-voltage and high-current switching and measurement data acquisition under operating conditions of 1kV to 10kV and 10A to 1000A. The sampling sequence is as follows: The sampling step size is The reference angular frequency and reference initial phase are estimated from the phase-locked loop, respectively. and Define the in-phase and quadrature components of the voltage on the reference base and calculate the amplitude and phase correction amounts:

[0031] in, Indicates the first Voltage samples at each sampling point Indicates the sampling interval. This represents the number of sampling points within the first analysis window used for estimation. This represents the power frequency angular frequency obtained through a phase-locked loop. Indicates reference to the initial phase, and These represent the orthogonal projections of the voltage onto the reference cosine and sine bases, respectively. Indicates the fundamental frequency amplitude. This indicates the voltage phase correction amount. This represents the fundamental effective value. The above calculation extracts the fundamental component by orthogonally projecting the voltage sequence onto a reference base, thereby merging the amplitude and phase errors into a set of parameters synchronized with the reference, avoiding contamination of the nominal value by harmonics and phase drift.

[0032] Harmonic component filtering and RMS value extraction of current parameters employ a combination of frequency and time domain methods. Firstly, using the same... Construct current orthogonality coefficients and reconstruct the fundamental component, then calculate the effective value in the time domain:

[0033] in, Indicates the first Current samples at each sampling point and These represent the orthogonal projections of the current onto the reference cosine and sine bases, respectively. Represents the fundamental frequency reconstruction sequence of the current. This represents the effective value of the fundamental current. First, the orthogonal components of the fundamental current are extracted using a reference frequency to suppress higher harmonics and noise. Then, the effective value is calculated in the time domain using the energy definition, which can balance frequency domain noise suppression and time domain stability.

[0034] Dynamic compensation and normalization of inductance parameters are achieved using a modeling method incorporating temperature and frequency correction factors. Let the measured inductance be... The ambient temperature is The operating frequency is The reference temperature and reference frequency are respectively and Construct a multiplicative correction model and give the normalized inductance:

[0035] in, This represents the normalized inductance after temperature and frequency matching. This represents the nominal inductance after sampling and denoising. Indicates the temperature correction factor. This represents the temperature sensitivity coefficient, and its value is obtained by fitting platform calibration data. Indicates the current ambient temperature. Indicates the nominal reference temperature. Indicates the frequency correction factor. This represents the frequency sensitivity coefficient, whose value is obtained through frequency scanning or regression of historical operating data. Indicates the current operating frequency. The reference frequency is represented. This model decouples the temperature dependence of the material's permeability from the frequency dependence of the conductor's skin effect into two monotonically corrected curves, obtained through calibration. and Online standardization improves the comparability of inductor parameters and control availability under different operating conditions.

[0036] The preprocessing of voltage, current, and inductance parameters is triggered by the automatic control module and visualized and played back on the local control module. The measurement and control links are connected in the sealed space of the SF6 gas-insulated components. The high-voltage terminals and contactor groups maintain the dielectric strength between the terminals and contacts under the insulating gas, thereby ensuring the safe acquisition of the synchronous measurement data required for preprocessing under high voltage and high current conditions.

[0037] Step S102: Obtain the operating state characteristic quantities corresponding to the high-voltage circuit under test through preprocessed operating parameters.

[0038] Specifically, the operating state characteristics include power factor characteristics, impedance characteristics, and equivalent reactance characteristics. The power factor characteristic characterizes the phase relationship between voltage and current, the impedance characteristic characterizes the amplitude relationship between voltage and current, and the equivalent reactance characteristic characterizes the dynamic changes in inductance with operating state. By performing correlation calculations on the preprocessed voltage, current, and inductance parameters, the power factor, impedance, and equivalent reactance characteristics are extracted and used as a unified input.

[0039] In one possible implementation, step S102 further includes: extracting power factor characteristics based on the phase relationship between voltage and current parameters; extracting impedance characteristics based on the amplitude relationship between voltage and current parameters; extracting equivalent reactance characteristics based on the dynamic change of inductance parameters; and using the power factor characteristics, impedance characteristics, and equivalent reactance characteristics as operating state characteristic quantities.

[0040] Specifically, power factor characteristics are extracted based on the phase relationship between voltage and current parameters. The power factor characteristics are used to reflect the energy utilization degree corresponding to the phase difference between voltage and current signals at power frequency. The voltage parameter represents the effective voltage value and phase acquired in real time in the high-voltage circuit under test, and the current parameter represents the effective current value and phase acquired in real time in the high-voltage circuit under test. The power factor characteristics are quantified by the phase difference between the two to reveal the proportional relationship between active power and apparent power in the high-voltage circuit under test.

[0041] Impedance characteristics are extracted based on the amplitude relationship between voltage and current parameters. These impedance characteristics are used to characterize the overall electrical impedance of the high-voltage circuit under steady-state operation. The ratio of the effective voltage value to the effective current value in the voltage parameters reflects the comprehensive impedance effect of the circuit to the external power supply. This impedance characteristic can reveal the electrical carrying capacity of the circuit under different load and compensation conditions.

[0042] Equivalent reactance characteristics are extracted based on the dynamic changes of inductance parameters. The inductance parameters are collected in real time by the device under different temperatures, frequencies and compensation conditions and then normalized. The equivalent reactance characteristics are used to describe the inductive characteristics exhibited by the inductance as the operating conditions change. This characteristic can reveal the response capability of the tested high-voltage circuit to changes in voltage and current.

[0043] Power factor characteristics, impedance characteristics, and equivalent reactance characteristics are all used as inputs for operating state characteristics, providing basic data support for the establishment of the subsequent equivalent parameter model and the determination of compensation branches.

[0044] Step S103: Construct an equivalent parameter model based on the operating state characteristics, and construct the inductance to be supplemented corresponding to the candidate compensation branch according to the equivalent parameter model.

[0045] Specifically, power factor characteristics are used to characterize the phase relationship between voltage and current, impedance characteristics are used to characterize the magnitude correspondence between voltage and current, and equivalent reactance characteristics are used to characterize the dynamic change of inductance under operating conditions. These three characteristics are then linked within a unified modeling framework to form an equivalent parameter model that describes the electrical characteristics of the high-voltage circuit under test. Based on this equivalent parameter model, and considering the capacitive or inductive components exhibited in the high-voltage circuit under test, the required supplementary inductance for maintaining stable operation is calculated. This supplementary inductance is then converted into a specific inductance value to match the inductance configuration of multiple candidate compensation branches.

[0046] In one possible implementation, step S103 further includes: performing correlation calculations on power factor characteristics, impedance characteristics, and equivalent reactance characteristics under the same modeling framework, and establishing equivalent parameter relationships; and constructing an equivalent parameter model based on the equivalent parameter relationships.

[0047] Specifically, a set of mutually constrained equivalent parameter relationships are established within the same modeling framework for power factor characteristics, impedance characteristics, and equivalent reactance characteristics to obtain the equivalent resistive and equivalent reactance components of the high-voltage circuit under test in steady state. Based on this, the inductance to be supplemented for candidate compensation branches is generated. For unified notation, the power factor characteristic is denoted as... The impedance characteristics are The equivalent reactance characteristics are The phase is determined by the sign factor. Instructions, in which This indicates that the current leads the voltage. This indicates that the current lags behind the voltage. Without changing the names of the three characteristic terms, the following equivalent parameter relationship is established:

[0048] in, Represents the equivalent resistive component. This represents the equivalent reactance estimate derived from the combined power factor and impedance characteristics. This represents the equivalent reactance after it has been standardized to match the characteristics of the equivalent reactance. This represents the feature fusion weights, with values ​​ranging from 1 to 2. , used in by A weighted consistency is applied between the derived reactance estimate and the equivalent reactance characteristics. The settings can be adaptively configured based on historical stability or real-time confidence; the above three equations constrain the phase information of the power factor characteristic and the amplitude information of the impedance characteristic to... The phasor relationship is determined, and the influence of noise and non-power frequency disturbances is suppressed by unifying it with the equivalent reactance characteristics.

[0049] In engineering scenarios where inductive compensation is used in candidate compensation branches, for high-voltage circuits under test dominated by capacitance, based on... The sign determines the compensation strategy and gives the target value of the inductance to be compensated. When and When capacitive properties dominate, the power frequency angular frequency is introduced. With undercompensation coefficient Construct a mapping from equivalent parameters to the inductance to be supplemented:

[0050] in, Represents the equivalent capacitance, derived from the reciprocal relationship between the capacitive component of the equivalent reactance and the power frequency. This indicates the target value of the inductance to be replenished. Indicates the power frequency angular frequency. The undercompensation coefficient is used to constrain the operating point in the non-resonant range to avoid voltage amplification. The above two equations establish the equivalent parameter relationship based on the reciprocity relationship between the equivalent reactance and the capacitive reactance, and obtain the target inductance under undercompensation by the shift constraint of the resonance condition. Thus, the power factor characteristics, impedance characteristics and equivalent reactance characteristics are uniformly mapped into executable compensation physical quantities.

[0051] when or When inductive dominance is characterized and inductive compensation is not required, the inductance to be supplemented is set to zero and the candidate compensation branch is not activated: in, This represents the degradation result of the target inductance value to be supplemented in the inductively dominant scenario, used to avoid unnecessary energy exchange introduced by overcompensation; this formula, together with the aforementioned scenario, constitutes a piecewise definition, so that the equivalent parameter model can generate a clear inductance value to be supplemented under different dominant characteristics.

[0052] In obtaining Then, this is used as the target nominal value of the inductance to be supplemented corresponding to the candidate compensation branch, and is used for subsequent matching and screening with the inductance configuration of the candidate compensation branch; wherein, the inductance configuration of the candidate compensation branch is derived from the device's preset inductance range table, and subsequent screening is based on... The target compensation branch combination is generated by combining the combination with the device operation constraints as a reference.

[0053] Step S104: Based on the inductance to be supplemented and the device operation constraints, obtain the compensation branches that meet the preset screening conditions from the candidate compensation branches as the target compensation branch combination.

[0054] Specifically, the inductance to be supplemented, determined by the equivalent parameter model, is used as the inductance to be supplemented. The inductance configuration of candidate compensation branches is matched, and candidate compensation branches whose deviation from the inductance to be supplemented exceeds a preset range are first eliminated. Among the remaining candidate compensation branches, device operating constraints are introduced for screening. These constraints include, but are not limited to, switching frequency constraints, temperature constraints, rated current carrying capacity constraints, and insulation margin constraints. Candidate compensation branches that meet the above constraints are combined according to the matching results of the inductance to be supplemented to obtain the target compensation branch combination for subsequent switching.

[0055] In one possible implementation, step S104 further includes: comparing the inductance value of each candidate compensation branch with the inductance to be supplemented, and eliminating candidate compensation branches whose deviation exceeds a preset inductance range; among the remaining candidate compensation branches, further obtaining candidate compensation branches that meet preset screening conditions, the preset screening conditions including breaking number constraints, temperature constraints, rated current carrying capacity constraints, and insulation margin constraints; combining the candidate compensation branches that meet the preset screening conditions according to the inductance to be supplemented, and using the combination result as the target compensation branch combination.

[0056] Specifically, the inductance to be supplemented in step S103 is used as a reference value and compared with the inductance value of each candidate compensation branch. A preset inductance range is set to cover device manufacturing tolerances, operating temperature drift and measurement uncertainty. Any candidate compensation branch whose deviation from the inductance to be supplemented exceeds this range is eliminated, forming the first round of passing set. The purpose of this constraint is to ensure that the equivalent inductance after subsequent combination can approximate the inductance to be supplemented, and to avoid deviation of operating conditions caused by undercompensation or overcompensation.

[0057] The first round of pass sets is subject to a break count constraint. The break count constraint uses the cumulative break count, rated allowable break count, and life occupancy coefficient of each candidate compensation branch as criteria to limit the usage ratio of a single candidate compensation branch throughout the entire maintenance cycle, and prioritizes retaining candidate compensation branches with lower cumulative break counts to avoid individual contactors reaching their life limit prematurely and causing maintenance imbalances. The second round of pass sets is obtained after this constraint screening.

[0058] Temperature constraints are applied to the second round of the pass set. These constraints are based on the hotspot temperature rise, the maximum allowable hotspot temperature rise threshold, and the temperature rise safety margin for each candidate compensation branch. The influence of the current ambient temperature, heat dissipation conditions, and the state of SF6 gas is also considered. Candidate compensation branches with hotspot temperature rises close to or exceeding the safety boundary are eliminated to prevent contact annealing, coil insulation aging, or adhesion risks caused by thermal stress. The third round of pass set is obtained after this constraint-based screening.

[0059] In the third round of selection, rated current carrying capacity constraints are applied. These constraints are based on the medium-voltage side operating voltage, power frequency, inductance of candidate compensation branches, and the rated current carrying capacity of devices. For potential short-term inrush currents, short-term overload or starting coefficients can be set for verification. Candidate compensation branches whose expected operating current exceeds the rated carrying capacity or short-term verification limit are eliminated. After this constraint screening, the fourth round of selection is obtained.

[0060] Insulation margin constraints are applied to the fourth pass set. The insulation margin constraint uses the operating voltage on the intermediate voltage side of the test transformer as the tested quantity, and the breakdown withstand level of the SF6 gas insulation component under the current gas pressure, gas temperature, and electrical clearance parameters as the benchmark. At the same time, a voltage safety factor is introduced, and creepage distance, pollution factor, and altitude correction can be combined for reduction verification. Any candidate compensation branches with insufficient insulation margin are eliminated. The final pass set is obtained after this constraint screening.

[0061] The final solution employs a combination matching and optimization strategy on the set of parameters. Using the required inductance as the target, multiple candidate compensation branches are combined in parallel, prioritizing the solution whose equivalent inductance after combination is closest to the required inductance. When multiple equivalent solutions exist, the combination with the lower total number of interruptions and the lower average hotspot temperature rise is prioritized to reduce wear imbalance and improve thermal stability. If parallel solutions still exist, the redundancy of insulation margin and rated current carrying capacity is compared, selecting the combination with higher redundancy to improve operational robustness. When a feasible combination cannot be obtained under given constraints, the inductance deviation constraint can be slightly relaxed according to a predefined concession order, or a backup candidate compensation branch can be activated. The solution is then recalculated while maintaining the temperature constraint, rated current carrying capacity constraint, and insulation margin constraint. The final determined combination is the target compensation branch combination.

[0062] Step S105: Determine the zero-point synchronization condition based on the operating state characteristic quantity, and perform switching control on the target compensation branch combination according to the zero-point synchronization condition to realize the high-voltage switching of the measured high-voltage circuit.

[0063] Specifically, the zero-point synchronization condition is derived from the phase relationship between voltage and current in the operating state characteristic quantities. This condition is used to determine the appropriate switching time, ensuring that the opening or closing operation occurs as close as possible to the moment when the current or voltage is near zero, thereby reducing the risks of arcing, surge current, and overvoltage. Under this condition, the selected target compensation branch combination is switched, and the triggering time is delayed and corrected by the control module to compensate for the contactor's mechanical action time and control link delay. This ensures that the actual switching time is consistent with the zero-point synchronization condition, ultimately achieving stable and safe switching of the measured high-voltage circuit.

[0064] In one possible implementation, step S105 further includes: acquiring pressure monitoring data and temperature monitoring data corresponding to the target body insulation component; determining whether the insulation strength of the target body insulation component is within a preset strength range based on the pressure monitoring data and temperature monitoring data; and stopping the switching control if the insulation strength is not within the preset strength range.

[0065] Specifically, pressure and temperature sensors are installed within the SF6 gas insulation assembly to collect pressure and temperature monitoring data. After correction by calibration coefficients, a correction value is obtained for determining the insulation strength. The original pressure is denoted as... The original temperature was Pressure zero-point offset is The zero-point temperature offset is The corrected pressure and corrected temperature are obtained: in, This indicates the corrected pressure monitoring data. This indicates the corrected temperature monitoring data. and This represents the zero-point correction amount obtained through periodic calibration of the device. and This represents the uncalibrated sensor readings acquired in real time.

[0066] Utilizing the monotonicity of the density of a closed gas with respect to the medium, a relative density factor is constructed to normalize to the reference operating conditions, denoted as [reference pressure and reference temperature]. and The density factor is obtained as follows: in, Represents the relative density factor, used to map insulation capabilities under different environmental conditions to a unified reference surface. and This indicates the reference point selected during type testing or platform calibration.

[0067] By combining insulation distance and operating condition corrections, a calibration model for breakdown withstand voltage is constructed, and the equivalent electrode gap is denoted as... The pollution reduction factor is The altitude reduction factor is The model coefficients are The breakdown withstand voltage is estimated as follows: in, Indicates the current With geometric gap Breakdown withstand voltage estimation under the following conditions This represents the coefficients obtained through multi-point calibration regression. This represents the coefficient obtained by subtracting the creepage level from the surface contamination level, and its value is less than or equal to 1. This represents the coefficient obtained by reducing air density according to altitude, and its value is less than or equal to 1; the model uses... The monotonic gain relationship approximates the withstand voltage characteristics under SF6, and the influence of the field environment is introduced through the reduction factor.

[0068] An insulation strength ratio criterion is established using the medium-voltage side operating voltage as the test quantity, denoted as the medium-voltage side operating voltage. The insulation strength ratio and the filtering quantity are obtained: in, This represents the ratio of instantaneous insulation strength. This represents the ratio of smooth insulation strength used for the determination. Represents the exponential smoothing coefficient, with a value range of 1000. Used to suppress sensor noise and short-term fluctuations. This represents the smoothed value from the previous judgment period. This represents the measured value of the medium-voltage side voltage before the current switching.

[0069] Set a preset intensity range and hysteresis boundary, and denote the lower limit of release as... Keep the lower limit as and satisfy This yields the release and locking logic: in, This indicates the lower limit of insulation strength at which switching control is permitted. This indicates the lower limit for maintaining the release state while the deployment process is not yet complete; the two constitute a hysteresis to avoid boundary jitter. Greater than or equal to When the insulation strength is within the preset strength range, zero-point synchronous triggering is allowed; when Less than If the insulation strength is not within the preset strength range, immediately set the interlocking flag and stop the switching control.

[0070] To ensure consistent execution, a pre-verification is added before the zero-point synchronization trigger, and the control path delay is recorded as... Mechanical action delay is The advance verification time is ,right Perform a re-evaluation; if the re-evaluation does not satisfy the condition... If the conditions are met, the triggering is cancelled; if the conditions are met, a triggering command is issued and the switching is executed, with continuous monitoring during the execution. And update Once it falls below This means suspending the remaining actions and returning to a safe standby state, where, This indicates the time delay from when the control module sends the command to when the drive reaches the contactor coil. This represents the mechanical time delay from when the contactor is energized to when the contacts are in place. This indicates the target trigger time calculated for zero-point synchronization. The above process uses the insulation strength criterion generated from pressure and temperature monitoring data to pre-determine the zero-point synchronization trigger. When the insulation strength is not within the preset strength range, the switching control is stopped, thereby maintaining dielectric margin and avoiding abnormal arcing and insulation breakdown before and during high-voltage switching. When the insulation strength is within the preset strength range, the switching interlock is released, the zero-point synchronization condition is determined based on the operating state characteristics, the target trigger time is calculated, and pre-correction is performed according to the control link delay and mechanical delay. Then, the target compensation branch combination is switched. When closing, the pre-insertion damping is first engaged, and the branches are connected one by one in order of priority for small inductance value. When opening, the absorption branch is first engaged, and the disconnection is completed under the constraint of current rise rate. Throughout the process, the pressure, temperature, voltage, and current over-limit states are continuously monitored. If any monitored quantity exceeds the limit, the action is stopped and the system returns to a safe state. After the action is completed, the trigger time, branch sequence, and steady-state deviation of this switching are recorded for subsequent verification and repair.

[0071] In one possible implementation, step S105 further includes: after the switching control is completed, acquiring the current and voltage deviation data of the 220kV voltage transformer detection platform within the stabilization window; determining whether the current and voltage deviation data is greater than a preset deviation value; if the current and voltage deviation data is greater than the preset deviation value, constructing a deviation feature vector based on the current and voltage deviation data; comparing the deviation feature vector with a pre-stored database of operating state feature quantities to determine the source of parameter mismatch causing the deviation; updating the configuration parameters in the equivalent parameter model based on the source of parameter mismatch; and constructing a corrected compensation branch combination based on the updated equivalent parameter model.

[0072] Specifically, after entering the deviation analysis process, a deviation feature vector is constructed based on the current and voltage deviation data. The deviation feature vector includes at least the voltage amplitude relative deviation component, the current amplitude relative deviation component, the phase difference deviation component between voltage and current, the transient residual intensity index within the stable time window, and environmental and operating condition labels related to the high-voltage circuit under test. The environmental and operating condition labels include the medium-voltage side working voltage level, power frequency label, temperature label, pressure label, and device status label. The device status label is used to identify the contactor action sequence and the pre-insertion damping engagement status.

[0073] The deviation feature vector is compared with a pre-stored database of operating state feature quantities. The database is indexed hierarchically according to power factor features, impedance features, and equivalent reactance features. The comparison range is limited by the operating condition label. Within the limited range, a weighted distance metric is used to perform similarity retrieval on historical samples to obtain the most similar set of historical samples and the corresponding parameter mismatch profile. The parameter mismatch profile is used to mark the main sources of deviation, including power factor feature mismatch, impedance feature mismatch, equivalent reactance feature mismatch, imbalance of undercompensation coefficient configuration, improper configuration of feature fusion weights, drift of temperature correction factor and frequency correction factor, contactor mechanical delay drift, and trigger verification error caused by insulation state fluctuation.

[0074] Based on the parameter mismatch profile, the source of parameter mismatch is determined. The configuration parameters in the equivalent parameter model are updated according to priority rules. The priority rules are as follows: the calibration update of temperature correction factor and frequency correction factor takes precedence over the adjustment of feature fusion weight, the adjustment of feature fusion weight takes precedence over the revision of undercompensation coefficient, and the revision of undercompensation coefficient takes precedence over the revision of trigger delay correction amount. If insulation state fluctuation is identified as the dominant source, only the insulation-related release threshold and hysteresis boundary are updated while keeping other parameters of the equivalent parameter model unchanged. After the update is completed, the power factor feature, impedance feature and equivalent reactance feature are re-jointly calculated to generate the updated equivalent parameter model output.

[0075] The updated equivalent parameter model output is mapped to the inductance to be supplemented. The inductance to be supplemented is used as the new target nominal value. The candidate compensation branches are matched again and the operation constraints are checked. The operation constraints include the number of interruptions, temperature constraints, rated current carrying capacity constraints, and insulation margin constraints. A modified compensation branch combination is formed. The modified compensation branch combination is used as an alternative to enter the next zero-point synchronization trigger sequence. Before triggering, the insulation strength release check is reused to ensure the safety boundary is effective.

[0076] After the corrected compensation branch combination is put into operation, the deviation acquisition and judgment process of the stable time window is repeated. If the current and voltage deviation data still exceed the preset deviation value, the iteration and update will continue according to the suboptimal option of the parameter mismatch source until the current and voltage deviation data fall back to within the preset deviation value or reach the iteration limit. When the iteration limit is reached, the corrected compensation branch combination with the smallest deviation is selected under the premise of ensuring that the insulation safety margin and rated current carrying capacity are not violated, and a manual verification mark is output for subsequent maintenance.

[0077] Please refer to Figure 2 This document illustrates a schematic diagram of a high-voltage switching device for a 220kV voltage transformer testing platform, provided in an embodiment of this application. The device includes an acquisition module 21 and a processing module 22. The acquisition module 21 is used to acquire the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform and to preprocess the operating parameters, which include voltage parameters, current parameters and inductance parameters.

[0078] The processing module 22 is used to obtain the operating state characteristic quantities corresponding to the high voltage circuit under test through preprocessed operating parameters; construct an equivalent parameter model based on the operating state characteristic quantities; construct the inductance to be supplemented corresponding to the candidate compensation branch according to the equivalent parameter model; obtain the compensation branch that meets the preset screening conditions among the candidate compensation branches as the target compensation branch combination through the inductance to be supplemented and the device operating constraints; determine the zero-point synchronization condition according to the operating state characteristic quantities; and perform switching control on the target compensation branch combination according to the zero-point synchronization condition to realize the high voltage switching of the high voltage circuit under test.

[0079] In one possible implementation, the acquisition module 21 is used to acquire the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform, and to preprocess the operating parameters, specifically including: performing amplitude and phase correction on the voltage parameters using a phase-locked loop method based on a reference signal; filtering out harmonic components and extracting the effective value of the current parameters using a combination of frequency domain filtering and time domain statistics; and performing dynamic compensation and normalization processing on the inductance parameters using a modeling method that introduces temperature and frequency correction factors.

[0080] In one possible implementation, the processing module 22 is used to obtain the operating state characteristic quantities corresponding to the high voltage circuit under test through preprocessed operating parameters, specifically including: extracting power factor characteristics based on the phase relationship between voltage parameters and current parameters; extracting impedance characteristics based on the amplitude relationship between voltage parameters and current parameters; extracting equivalent reactance characteristics based on the dynamic change of inductance parameters; and using the power factor characteristics, impedance characteristics, and equivalent reactance characteristics as operating state characteristic quantities.

[0081] In one possible implementation, the processing module 22 is used to construct an equivalent parameter model based on the operating state characteristics, specifically including: performing correlation calculations on the power factor characteristics, impedance characteristics and equivalent reactance characteristics under the same modeling framework, and establishing equivalent parameter relationships; and constructing an equivalent parameter model based on the equivalent parameter relationships.

[0082] In one possible implementation, the processing module 22 is used to obtain, based on the inductance to be supplemented and device operating constraints, compensation branches that meet preset screening conditions from among the candidate compensation branches as the target compensation branch combination. Specifically, this includes: comparing the inductance value of each candidate compensation branch with the inductance to be supplemented, and eliminating candidate compensation branches whose deviation exceeds a preset inductance range; further obtaining candidate compensation branches that meet preset screening conditions from the remaining candidate compensation branches, the preset screening conditions including breaking number constraints, temperature constraints, rated current carrying capacity constraints, and insulation margin constraints; combining the candidate compensation branches that meet the preset screening conditions according to the inductance to be supplemented, and using the combination result as the target compensation branch combination.

[0083] In one possible implementation, the processing module 22 is used to construct a safety judgment constraint before determining the zero-point synchronization condition based on the operating state characteristics and performing switching control on the target compensation branch combination based on the zero-point synchronization condition: obtaining the pressure monitoring data and temperature monitoring data corresponding to the target body insulation component; judging whether the insulation strength of the target body insulation component is within the preset strength range based on the pressure monitoring data and temperature monitoring data; if the insulation strength is not within the preset strength range, stopping the execution of switching control.

[0084] In one possible implementation, after the processing module 22 determines the zero-point synchronization condition based on the operating state characteristic quantity and performs switching control on the target compensation branch combination according to the zero-point synchronization condition to realize the high-voltage switching of the measured high-voltage circuit, the method further includes: after the switching control is completed, acquiring the current and voltage deviation data of the 220kV voltage transformer detection platform within the stable time window; determining whether the current and voltage deviation data is greater than a preset deviation value; if the current and voltage deviation data is greater than the preset deviation value, constructing a deviation feature vector based on the current and voltage deviation data; comparing the deviation feature vector with the pre-stored operating state characteristic quantity database to determine the parameter mismatch source causing the deviation; updating the configuration parameters in the equivalent parameter model based on the parameter mismatch source; and constructing a corrected compensation branch combination based on the updated equivalent parameter model.

[0085] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided above belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0086] This application also provides an electronic device. (See reference...) Figure 3 , Figure 3This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: at least one processor 301, at least one communication bus 302, a user interface 303, at least one network interface 304, and a memory 305.

[0087] The communication bus 302 is used to enable communication between these components.

[0088] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0089] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0090] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 305, and by calling data stored in memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 301 and may be implemented as a separate chip.

[0091] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a high-voltage switching application for the 220kV voltage transformer testing platform.

[0092] exist Figure 3 In the illustrated electronic device, the user interface 303 is primarily used to provide an input interface for the user and acquire user input data. The processor 301 can be used to call the high-voltage switching application stored in the memory 305, which is applied to the 220kV voltage transformer detection platform. When executed by one or more processors 301, the electronic device performs one or more of the methods described in the above embodiments. It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps can be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0093] This application also provides a computer-readable storage medium storing instructions. When executed by one or more processors, these instructions cause an electronic device to perform one or more of the methods described in the above embodiments.

[0094] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0095] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0096] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0097] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0099] The above description is merely an exemplary embodiment disclosed in this application and should not be construed as limiting the scope of this application. Any equivalent changes and modifications made in accordance with the teachings of this application shall still fall within the scope of this application.

[0100] This application is intended to cover any variations, uses, or adaptations disclosed herein that follow the general principles disclosed herein and include common knowledge or customary technical means in the art that are not described in this application.

Claims

1. A high-voltage switching method applied to a 220kV voltage transformer testing platform, characterized in that, The method includes: The operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform are obtained and the operating parameters are preprocessed. The operating parameters include voltage parameters, current parameters and inductance parameters. By preprocessing the operating parameters, the operating state characteristic quantities corresponding to the high-voltage circuit under test are obtained; An equivalent parameter model is constructed based on the operating state characteristics, and the inductance to be supplemented corresponding to the candidate compensation branch is constructed according to the equivalent parameter model. Based on the inductance to be supplemented and the device operation constraints, the compensation branches that meet the preset screening conditions among the candidate compensation branches are obtained as the target compensation branch combination. The zero-point synchronization condition is determined based on the operating state characteristic quantity, and the switching control of the target compensation branch combination is performed according to the zero-point synchronization condition to realize the high-voltage switching of the measured high-voltage circuit.

2. The method according to claim 1, characterized in that, The acquisition of operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform, and the preprocessing of the operating parameters, specifically includes: The voltage parameters are corrected in amplitude and phase using a phase-locked loop method based on a reference signal; The harmonic components of the current parameters are filtered out and the effective value is extracted by combining frequency domain filtering and time domain statistics. The inductance parameters are dynamically compensated and normalized by introducing a modeling method that incorporates temperature and frequency correction factors.

3. The method according to claim 1, characterized in that, The step of obtaining the operating state characteristic quantities corresponding to the tested high-voltage circuit through the preprocessed operating parameters specifically includes: Power factor features are extracted based on the phase relationship between the voltage parameters and the current parameters; Impedance features are extracted based on the magnitude relationship between the voltage and current parameters; Extracting equivalent reactance features based on dynamic changes in inductance parameters; The power factor characteristic, the impedance characteristic, and the equivalent reactance characteristic are used as the operating state characteristic quantities.

4. The method according to claim 3, characterized in that, The construction of the equivalent parameter model based on the operating state features specifically includes: Within the same modeling framework, the power factor characteristics, impedance characteristics, and equivalent reactance characteristics are correlated and calculated, and equivalent parameter relationships are established. The equivalent parameter model is constructed based on the aforementioned equivalent parameter relationship.

5. The method according to claim 1, characterized in that, The step of obtaining the compensation branches that meet the preset screening conditions from the candidate compensation branches based on the inductance to be supplemented and the device operating constraints as the target compensation branch combination specifically includes: The inductance value of each candidate compensation branch is compared with the inductance to be supplemented, and the candidate compensation branches with deviations exceeding the preset inductance range are eliminated. Among the remaining candidate compensation branches, further obtain the candidate compensation branches that meet the preset screening conditions, which include interruption number constraints, temperature constraints, rated current carrying capacity constraints, and insulation margin constraints. The candidate compensation branches that meet the preset screening conditions are combined according to the inductance to be supplemented, and the combination result is used as the target compensation branch combination.

6. The method according to claim 1, characterized in that, Before determining the zero-point synchronization condition based on the operating state characteristic quantity and performing switching control on the target compensation branch combination based on the zero-point synchronization condition, a safety judgment constraint needs to be constructed: Acquire pressure and temperature monitoring data corresponding to the insulation components of the target body; Based on the pressure monitoring data and the temperature monitoring data, determine whether the insulation strength of the target body insulation component is within a preset strength range; If the insulation strength is not within the preset strength range, the switching control will be stopped.

7. The method according to claim 1, characterized in that, After determining the zero-point synchronization condition based on the operating state characteristic quantity, and performing switching control on the target compensation branch combination according to the zero-point synchronization condition to achieve high-voltage switching of the tested high-voltage circuit, the method further includes: After the switching control is completed, the current and voltage deviation data of the 220kV voltage transformer detection platform are obtained within the stable time window. Determine whether the current-voltage deviation data is greater than a preset deviation value; If the current-voltage deviation data is greater than the preset deviation value, then a deviation feature vector is constructed based on the current-voltage deviation data; The deviation feature vector is compared with a pre-stored database of operating status feature quantities to determine the source of parameter mismatch that causes the deviation. Based on the source of the parameter mismatch, update the configuration parameters in the equivalent parameter model; Based on the updated equivalent parameter model, a modified compensation branch combination is constructed.

8. A high-voltage switching device applied to a 220kV voltage transformer testing platform, characterized in that, The device includes an acquisition module and a processing module, wherein, The acquisition module is used to acquire the operating parameters of the high-voltage circuit under test in the 220kV voltage transformer testing platform, and to preprocess the operating parameters, which include voltage parameters, current parameters and inductance parameters. The processing module is used to obtain the operating state characteristic quantities corresponding to the high-voltage circuit under test through the preprocessed operating parameters; construct an equivalent parameter model based on the operating state characteristic quantities; construct the inductance to be supplemented corresponding to the candidate compensation branches according to the equivalent parameter model; obtain the compensation branches that meet the preset screening conditions among the candidate compensation branches as the target compensation branch combination through the inductance to be supplemented and the device operating constraints; determine the zero-point synchronization conditions according to the operating state characteristic quantities; and perform switching control on the target compensation branch combination according to the zero-point synchronization conditions to realize the high-voltage switching of the high-voltage circuit under test.

9. An electronic device, characterized in that, The device includes a processor, a communication bus, a user interface, a network interface, and a memory. The memory is used to store instructions. The user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1 to 7.

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