Operating parameter analysis method and device for current-sensitive resistor type current-limiting resonance eliminator

Abstract

The invention relates to the technical field of configuration optimization of resonance eliminators, in particular to a method and a device for analyzing operating parameters of a current-sensitive resistor type current-limiting resonance eliminator, which are used for analyzing the matching degree of resonance energy paths by combining structural characteristic data of a target power system and configuration strategy data of the resonance eliminator; in combination with the configuration strategy data of the resonance eliminator and the operation parameter data of the current-sensitive resistor type current-limiting resonance eliminator, analyzing the performance effect of the resonance eliminator group in the target power system; based on the resonance energy path matching degree analysis result and the resonance eliminator group performance effect analysis result, the configuration layout balance degree of the current-sensitive resistor type current-limiting resonance eliminator is evaluated; optimizing a resonance eliminator configuration strategy of the target power system according to a configuration layout equilibrium degree evaluation result of the current-sensitive resistor type current-limiting resonance eliminator; therefore, the effectiveness of resonance elimination measures and the reliability of the overall damping effect are improved, and the safety and stability of long-term operation of a power system are guaranteed.

Description

Technical Field

[0001] This invention relates to the field of harmonic suppressor configuration optimization technology, and in particular to a method and apparatus for analyzing the operating parameters of a current-limiting harmonic suppressor of the current-sensitive resistor type. Background Technology

[0002] In medium- and high-voltage power distribution networks and systems containing numerous capacitive components, ferroresonant overvoltages induced by line parameter mismatch or nonlinear loads are a persistent and highly dangerous frequent fault. This resonance not only causes severe voltage distortion in the system, affecting power quality, but also subjects voltage transformers, surge arresters, and capacitive equipment to continuous overvoltage surges. From initial accelerated insulation aging, to mid-term equipment overheating and damage, and finally to later insulation breakdown leading to single-phase grounding or even phase-to-phase short circuits, this seriously threatens the continuous power supply safety and asset security of the power grid. If the incubation, occurrence, and development of resonance are not effectively monitored and actively suppressed, it can lead to widespread power outages, causing significant economic losses and social impacts. Traditional resonance mitigation methods mainly rely on manual experience to configure harmonic suppression devices with fixed parameters or post-incident fault analysis, which is not only slow to respond but also difficult to adapt to new resonance risks after changes in system operation. By using a current-sensitive resistor-type current-limiting harmonic suppressor, the nonlinearity of its volt-ampere characteristic allows it to be in a high-resistance state during normal system operation with almost no impact on operation. Under overvoltage conditions, it quickly switches to a low-resistance state to absorb energy, achieving rapid adaptive damping and providing an effective technical means for actively managing resonance.

[0003] However, existing technologies, when configuring and evaluating the effectiveness of current-sensitive resistor-type harmonic suppressors, do not quantitatively correlate the installation layout of the suppressors with the inherent resonant energy propagation path of the system. For example, when there are multiple potential resonant points in the system, if the electrical distance and admittance relationship between the suppressor installation location and these resonant points are not considered, relying solely on experience for uniform or local installation makes it difficult to ensure that the suppressors can effectively cover the most dangerous or primary resonant energy channels, leading to wasted investment or insufficient protection of critical points. At the same time, existing technologies also lack a comprehensive consideration of the synergistic performance of a group of suppressed units already in operation, ignoring the weakening of the group damping effect or even the risk of internal impact caused by the dispersion of the start-up voltage threshold and the asynchronous operation sequence of different suppressor units. This makes it difficult for the evaluation results to accurately reflect the overall operational effectiveness of the group of suppressors.

[0004] To address these issues, this application presents a method and apparatus for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor. Summary of the Invention

[0005] To overcome the defects and shortcomings of existing technologies, this invention provides a method and apparatus for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor. By acquiring system structure, configuration strategy and operating parameter data, the degree of resonant energy path matching and the performance effect of the harmonic suppressor group are analyzed in sequence. Based on this, the balance of the configuration layout is evaluated, and a genetic algorithm is used to automatically optimize the unbalanced configuration strategy, and finally an optimized harmonic suppressor configuration scheme is output.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, embodiments of the present invention provide a method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, comprising the following steps: S1. Obtain structural characteristic data and harmonic suppressor configuration strategy data of the target power system, and at the same time obtain the operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. S2. Based on the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data, analyze the degree of resonant energy path matching under the current configuration topology; S3. Combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor, analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology; S4. Based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system, evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology. S5. Based on the evaluation results of the balanced configuration of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology, optimize the harmonic suppressor configuration strategy of the target power system.

[0007] In one implementation of the present invention, step S2 involves analyzing the degree of resonance energy path matching under the current configuration topology by combining the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data. Specifically, this includes: S21. Extract the target power system main wiring diagram, measured three-phase voltage data of each node, measured current data of each branch, and equivalent impedance parameters of the target power system from the structural characteristic data; extract the installation node location information of all configured harmonic suppressors from the harmonic suppressor configuration strategy data. S22. Based on the main wiring diagram of the target power system and the equivalent impedance parameters, the impedance amplitude of each electrical connection node of the target power system at the selected subharmonic frequency is calculated using the frequency scanning method. The corresponding electrical connection node whose impedance amplitude exceeds the first preset threshold is marked as a potential resonant node. The electrical distance from each potential resonant node to all the installation node locations is calculated. The N corresponding installation node locations with the smallest electrical distances are selected to form the associated resonant node group, where N is a positive integer greater than or equal to 1.

[0008] In one implementation of the present invention, step S2, which combines the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data to analyze the degree of resonant energy path matching under the current configuration topology, also includes the following specific steps: S23. Read the measured harmonic voltage content and harmonic current distortion rate at the installation node of each harmonic suppressor in the associated harmonic suppressor group of each potential resonant node; take the product of the average harmonic voltage content and the average harmonic current distortion rate at all installation nodes of the associated harmonic suppressor group of each potential resonant node as the energy exposure of each potential resonant node. S24. Sum the electrical admittances from all the harmonic suppressor installation nodes to the corresponding potential resonant nodes in the associated harmonic suppressor groups of each potential resonant node, and use the ratio of the summation result to the system reference admittance as the topology coverage of each potential resonant node. S25. The energy exposure and topology coverage of each potential resonant node are weighted and summed to obtain the matching contribution value of each potential resonant node. The matching contribution values ​​of all potential resonant nodes are summed and divided by the total number of potential resonant nodes to obtain the resonant energy path matching degree under the current configuration topology.

[0009] In one implementation of the present invention, step S3, combining harmonic suppressor configuration strategy data and operating parameter data of the current-sensitive resistor-type current-limiting harmonic suppressor, analyzes the performance of the harmonic suppressor group in the target power system under the current configuration topology, including the following specific steps: S31. Extract the unique identifier and installation node information of each harmonic suppressor from the harmonic suppressor configuration strategy data; extract the operating parameters of each harmonic suppressor from the operating parameter data, including the starting voltage threshold on the volt-ampere characteristic curve, the residual voltage value under the rated current, and the start time and duration of the action in historical resonance events. S32. Collect the current start-up voltage threshold of all online harmonic suppressors, and calculate the coefficient of variation of the current start-up voltage threshold of all online harmonic suppressors as the degree of start-up voltage dispersion. S33. Collect the residual voltage values ​​of all online harmonic suppressors under the same rated current test conditions, and calculate the coefficient of variation of the residual voltage values ​​of all online harmonic suppressors under the same rated current test conditions as the degree of residual voltage dispersion. S34. Calculate the weighted average of the starting voltage dispersion and the residual voltage dispersion to obtain the static characteristic dispersion.

[0010] In one implementation of the present invention, step S3, which combines harmonic suppressor configuration strategy data and operating parameter data of the current-sensitive resistor-type current-limiting harmonic suppressor to analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology, also includes the following specific steps: S35. Extract the complete waveform data of the most recent system resonance event, identify the start time and duration of action of all active harmonic suppressors; calculate the standard deviation of the start time of action of all active harmonic suppressors, and divide it by the total duration of the most recent system resonance event to obtain the dispersion of action time; calculate the standard deviation of the duration of action of all active harmonic suppressors, and divide it by the average duration of action of all active harmonic suppressors to obtain the dispersion of action duration; calculate the weighted average of the dispersion of action time and the dispersion of action duration to obtain the dynamic dispersion of action. S36. The static performance level is obtained by subtracting the static characteristic dispersion from the numerical value 1; the dynamic performance level is obtained by subtracting the dynamic action dispersion from the numerical value 1; the weighted geometric mean of the static performance level and the dynamic performance level is calculated to obtain the performance effect of the harmonic suppressor group in the target power system under the current configuration topology.

[0011] In one implementation of the present invention, step S4 evaluates the balance of the configuration layout of the current-sensitive resistor-type current-limiting harmonic suppressors under the current configuration topology based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressors in the target power system. This includes the following specific steps: S41. Extract the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system; S42. The results of the analysis of the resonant energy path matching degree under the current configuration topology and the results of the analysis of the performance effect of the harmonic suppressor group in the target power system are weighted and summed to obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

[0012] In one implementation of the present invention, step S5 optimizes the harmonic suppressor configuration strategy of the target power system based on the evaluation result of the balanced configuration of the current-sensitive resistor-type current-limiting harmonic suppressor under the current configuration topology, including the following specific contents: S51. Obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology; S52. A preset configuration layout balance threshold is set. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is less than the configuration layout balance threshold, the configuration layout balance is used as the optimization target, and a genetic algorithm is used to globally optimize the harmonic suppressor configuration strategy to generate an optimized harmonic suppressor configuration strategy. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is greater than or equal to the configuration layout balance threshold, the current harmonic suppressor configuration strategy is maintained.

[0013] Secondly, embodiments of the present invention also provide a device for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, comprising: The data acquisition module is used to acquire structural characteristic data of the target power system, harmonic suppressor configuration strategy data, and operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. The path matching module is used to analyze the degree of resonant energy path matching under the current configuration topology by combining the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data. The group performance analysis module is used to analyze the group performance of harmonic suppressors in the target power system under the current configuration topology by combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor. The configuration layout analysis module is used to evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system. The configuration optimization module is used to optimize the harmonic suppressor configuration strategy of the target power system based on the evaluation results of the balanced configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

[0014] Compared with the prior art, the present invention has the following advantages and beneficial effects: 1. This invention analyzes the degree of resonant energy path matching under the current configuration topology, and evaluates the spatial and electrical correlation between the layout of the harmonic suppressor and the resonant risk points from the essence of the system network structure and resonant energy distribution. This ensures that the configuration of the harmonic suppressor covers the key resonant paths of the system in a targeted manner, and improves the effectiveness and investment efficiency of the harmonic suppression measures. 2. This invention analyzes the performance of the harmonic suppressor group under the current configuration topology, comprehensively evaluates the performance of multiple harmonic suppressors in terms of static parameter consistency and dynamic action coordination, accurately identifies the group performance shortcomings caused by equipment differences or asynchronous actions, thus providing a basis for the state assessment, parameter calibration and synchronization optimization of the harmonic suppressor group, and improving the reliability of the overall damping effect. 3. Based on the comprehensive evaluation results of path matching and population performance, this invention quantifies the degree of balance of configuration layout and uses this as the target to drive the genetic algorithm to perform global optimization. It can automatically and scientifically generate or adjust the installation position and parameter setting strategy of harmonic suppressors, reduce the blindness of relying on human experience, and ensure the safety and stability of the power system in the long term. Attached Figure Description

[0015] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall process for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to the present invention. Figure 2 This is a flowchart of step S2 in the method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to the present invention. Figure 3 This is a flowchart illustrating the analysis of the static characteristic dispersion in step S3 of the current-sensitive resistor type current-limiting harmonic suppressor operating parameter analysis method of the present invention. Figure 4 This is a flowchart illustrating the analysis of the dynamic action dispersion degree in step S3 of the current-sensitive resistor type current-limiting harmonic suppressor operation parameter analysis method of the present invention. Figure 5 This is a schematic diagram of the operating parameter analysis device for a current-sensitive resistor type current-limiting harmonic suppressor according to the present invention. Detailed Implementation

[0016] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0017] Example 1 like Figure 1 As shown in the figure, this embodiment provides a method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, which specifically includes the following steps: S1. Obtain structural characteristic data and harmonic suppressor configuration strategy data of the target power system, and at the same time obtain the operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. S2. Based on the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data, analyze the degree of resonant energy path matching under the current configuration topology; S3. Combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor, analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology; S4. Based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system, evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology. S5. Based on the evaluation results of the balanced configuration of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology, optimize the harmonic suppressor configuration strategy of the target power system.

[0018] In this embodiment, as Figure 2 As shown, step S2 combines the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data to analyze the degree of resonant energy path matching under the current configuration topology, specifically including: S21. From the structural characteristic data, extract the main wiring diagram of the target power system, the measured three-phase voltage data of each node, the measured current data of each branch, and the equivalent impedance parameters of the target power system; from the harmonic suppressor configuration strategy data, extract the installation node location information of all configured harmonic suppressors; in specific implementation, from the structural characteristic data, it is necessary to extract the main wiring diagram of the target power system. This diagram is a topological blueprint describing the connection relationship of all electrical equipment (such as generators, transformers, busbars, lines, circuit breakers, capacitor banks, etc.) in the system. It comes from the power system design drawings or asset management system and is provided in digital graphic format (such as SVG, DXF) or node-branch association matrix form. It defines the skeleton of the system; at the same time, it is necessary to obtain the measured three-phase voltage data of each node and the measured current data of each branch. These are the real-time operating status of the system. The state of the load is typically reflected in real time through power quality monitoring terminals (PQMDs) or phasor measurement units (PMUs) deployed at key substation busbars. Data is recorded continuously at power frequency intervals, including the fundamental and harmonic RMS values ​​of voltage and current, and phase information, and is uploaded to the master station system via a dedicated power communication network. Furthermore, the equivalent impedance parameters of the target power system need to be extracted, which is the core of frequency domain analysis. Obtaining this data is a systematic modeling process: it requires collecting nameplate parameters and factory test reports of all major components in the system, including the positive and zero-sequence resistance, reactance, and capacitance per unit length of transmission lines; the short-circuit impedance percentage, no-load loss, and winding connection group of transformers; the rated capacity, rated voltage, and reactance rate of parallel capacitors and reactors; and the subtransient reactance of rotating electrical machines (generators, motors), etc. For the load, frequency-dependent models suitable for harmonic analysis are typically used, such as polynomial fitting models or equivalent harmonic impedance determined based on typical load composition (e.g., the proportion of motors, lighting, and rectifier equipment). Then, using professional power system analysis software, based on the main wiring diagram and the above-mentioned equipment parameters, a fundamental frequency power flow calculation model of the entire system is established. Subsequently, through the harmonic analysis module of the software or a custom script, the impedance parameters of all components are converted to the selected harmonic frequency of interest according to their frequency characteristics (for example, the inductive reactance of inductors increases linearly with frequency, and the capacitive reactance of capacitors decreases linearly with frequency), forming a whole-network harmonic impedance model at that specific frequency. This model is essentially a linear equation system coefficient matrix with node voltage as the variable, and its admittance form is the system equivalent impedance parameter set required for subsequent analysis.On the other hand, from the harmonic suppressor configuration strategy data, it is necessary to extract the installation node location information of all current-sensitive resistor type current-limiting harmonic suppressors that have been put into operation. This includes the unique number of the harmonic suppressor, the name of the substation to which it belongs, and the bus number or name of the specific voltage level where it is installed. This information comes from the harmonic suppressor ledger management system or dispatch operation system. Based on the above data acquisition process, this embodiment ensures that the analysis model has both the topological accuracy to reflect the physical structure of the system and the parameter authenticity to characterize the electrical characteristics under specific harmonic frequencies. This is the primary prerequisite for evaluating whether the harmonic suppressor configuration matches the system resonance characteristics, and avoids misjudgment caused by model distortion.

[0019] S22. Based on the main wiring diagram and equivalent impedance parameters of the target power system, the impedance amplitude of each electrical connection node of the target power system at a selected subharmonic frequency is calculated using the frequency scanning method. Electrical connection nodes with impedance amplitudes exceeding a first preset threshold are marked as potential resonant nodes. The electrical distance from each potential resonant node to all installation node locations is calculated. The N corresponding harmonic suppressors with the smallest electrical distances are selected to form the associated harmonic suppressor group for each potential resonant node, where N is a positive integer greater than or equal to 1. In specific implementation, in the harmonic analysis software environment, the aforementioned special... A full-network harmonic impedance model is loaded at a fixed harmonic frequency, with the scanning frequency range set to the selected harmonic frequencies of interest (e.g., scanning 150Hz, 250Hz, and 350Hz for the 3rd, 5th, and 7th harmonics, respectively). In practice, to capture potential resonance points, a fine scan is usually performed near the selected frequency (e.g., with a step size of 0.1Hz). At each scanning frequency point, the calculation program sequentially calculates the equivalent impedance amplitude of the system as seen from each electrical connection node (i.e., all bus nodes in the system). This calculation essentially solves for the diagonal elements of the node impedance matrix at that frequency. When the equivalent impedance of the system to a node at a certain frequency exhibits purely resistive behavior and the amplitude reaches a local maximum, it indicates that there is a risk of resonance in that node-frequency combination. For automated identification, a first preset threshold needs to be set. This threshold is typically set based on engineering experience standards. For example, in this embodiment, the first preset threshold can be determined based on statistical analysis of impedance peak values ​​recorded in historical resonance events. This embodiment filters out records where the impedance amplitude calculated at a selected harmonic frequency exceeds the first preset threshold, and marks the electrical connection nodes corresponding to these records as "potential resonant nodes." Potential resonant nodes indicate that the location is a weak point where resonant energy easily accumulates. Furthermore, to evaluate the coverage capability of existing harmonic suppressor configurations for these potential resonant nodes, this embodiment also needs to calculate the electrical distance between each potential resonant node and the installation node locations of all configured harmonic suppressors. It should be noted that the electrical distance here is not the geographical distance, but an electrical quantity reflecting the degree of electrical connection. It is defined as the transfer impedance amplitude between two nodes at a selected harmonic frequency. This value can be directly calculated by extracting the mutual impedance or mutual admittance elements at the corresponding positions from the node impedance matrix or admittance matrix of the system at that frequency. After the calculation is completed, for each potential resonant node, the electrical distances from it to all the harmonic suppressor installation nodes are sorted, and the top N (N is a positive integer greater than or equal to 1, and in this embodiment, it can usually be 1 to 3 depending on the system size and configuration density) of the smallest electrical distance are selected for installation. The harmonic suppressors corresponding to these nodes are defined as the associated harmonic suppressor group of the potential resonant node.This embodiment, through rigorous frequency scanning and electrical distance calculation, achieves a focus from a system-wide perspective to the correlation between specific risk points and protective devices, providing clear evaluation objects and relationship pairs for quantitatively assessing the rationality of harmonic suppressor layout. This is a key bridge for transforming qualitative configuration into quantitative evaluation. In this embodiment, step S2, which combines the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data to analyze the degree of resonant energy path matching under the current configuration topology, also includes the following specific steps: S23. Read the measured harmonic voltage content and harmonic current distortion rate at the installation node of each harmonic suppressor in the associated harmonic suppressor group of each potential resonant node; take the product of the average harmonic voltage content and average harmonic current distortion rate at all installation nodes of the associated harmonic suppressor group of each potential resonant node as the energy exposure of each potential resonant node; in specific implementation, for each potential resonant node output in step S22, it is necessary to read the measured harmonic voltage content and harmonic current distortion rate at the installation node of each harmonic suppressor in its associated harmonic suppressor group. The acquisition of measured data depends on the power quality online monitoring devices installed at the above nodes. These devices synchronously sample the voltage and current signals at high speed (e.g., 256 points or higher per cycle), and then use the Fast Fourier Transform (FFT) algorithm or the improved windowed interpolation FFT algorithm to perform spectral analysis on the sampled data to decompose the effective values ​​and phases of the fundamental and each harmonic component. The harmonic voltage content (HRU) is calculated for a selected harmonic order (e.g., the 5th harmonic) and is the percentage of the effective value of that harmonic voltage to the effective value of the fundamental voltage. The harmonic current distortion rate (THDi) is the percentage of the total effective value of the harmonic current (usually calculated up to the 50th harmonic) to the effective value of the fundamental current. Furthermore, in this embodiment, to obtain statistically representative data, an analysis time window (e.g., the most recent 24 hours or one week) is typically selected, and the average value of the harmonic data for each node within this window is used as the input value to smooth out short-term fluctuations. After obtaining the harmonic data for all installed nodes of the associated harmonic suppressor group, for each potential resonant node, the average harmonic voltage content and average harmonic current distortion rate at all installed nodes of its associated harmonic suppressor group are calculated separately. The average value is used here to comprehensively reflect the overall harmonic environment of the area where the harmonic suppressor group associated with that resonant node is located. Finally, the average harmonic voltage content (which, in this embodiment, can be converted to a per-unit value by dividing by 100 to standardize the numerical form) is directly multiplied by the average harmonic current distortion rate (also converted to a per-unit value). The product is defined as the energy exposure of the potential resonant node. The physical significance of this approach in this embodiment is that a high harmonic voltage content indicates severe voltage waveform distortion at that point, indicating the presence of a harmonic voltage source; a high harmonic current distortion rate indicates abundant harmonic current flowing through that point or nearby branches. The product of the two constitutes an index reflecting the combined level of harmonic potential energy (voltage) and kinetic energy (current) in the local area where the node is located. The larger the product, the more the node is not only under high harmonic voltage stress but also associated with large harmonic current activity, thus the higher the energy basis for the risk of severe resonant overvoltage or overcurrent.

[0020] S24. Summate the electrical admittances from all harmonic suppressor installation nodes in the associated harmonic suppressor groups of each potential resonant node to the corresponding potential resonant node. Use the ratio of the summation to the system reference admittance as the topology coverage of each potential resonant node. The goal of this embodiment is to quantify the topological "coverage" or "damping" potential of the existing harmonic suppressor configuration for these resonant nodes, i.e., to calculate the topology coverage of each potential resonant node. The core of this embodiment is to obtain the "electrical admittance" and calculate the ratio of its sum to the reference. In specific implementation, for each potential resonant node and its associated harmonic suppressor group determined in step S22, calculate the electrical admittance from the potential resonant node to each harmonic suppressor installation node in its associated harmonic suppressor group. Here, electrical admittance specifically refers to the mutual admittance between two nodes at the selected harmonic frequency. Its acquisition relies entirely on the whole-network harmonic impedance model established in step S21 and used for frequency scanning in step S22. In the mathematical formulation of this model: In the node admittance matrix (for a selected harmonic frequency), the negative of the off-diagonal elements of the matrix is ​​defined as the mutual admittance between nodes; therefore, to obtain the electrical admittance from a potential resonant node to a harmonic suppressor installation node, it is only necessary to extract the corresponding element from the formed node admittance matrix and take its negative. In this embodiment, the admittance is a complex number, and its amplitude reflects the breadth of the channel through which resonant energy is transmitted from one node to any other node at a specific harmonic frequency. The larger the amplitude, the closer the electrical connection, and the smaller and more direct the potential damping path impedance of the harmonic suppressor node to the resonant node. Next, the amplitudes of the electrical admittances from all harmonic suppressor installation nodes in the associated harmonic suppressor group to the potential resonant node are summed. In this embodiment, the summation result characterizes the total admittance capability of the resonant node to discharge resonant energy through all associated harmonic suppressor paths. Further, in order to convert this summation value into a dimensionless, comparable ratio, it is divided by a system reference admittance. In this embodiment, the system reference admittance is taken by default as the average of the self-admittances (i.e., the amplitudes of the diagonal elements of the node admittance matrix) of all analyzed nodes (or all potential resonant nodes) at the selected harmonic frequency. The summation result is then... The ratio obtained by dividing by the system reference admittance is the topology coverage of the potential resonant node. The larger the topology coverage, the smoother the overall electrical path from the resonant point to its associated harmonic suppressor group, and the better the inherent conditions for the existing harmonic suppressors to form effective damping at the resonant point when configured in the topology. This embodiment evaluates the electrical connection strength between the installation location of the harmonic suppressor and the resonant point based on the impedance characteristics of the system network itself, making up for the shortcomings of simply relying on physical distance or the number of configurations. It profoundly reveals that the harmonic suppression effect depends not only on the performance of the harmonic suppressor itself, but also on its position in the system harmonic impedance network. S25. The energy exposure and topology coverage of each potential resonant node are weighted and summed to obtain the matching contribution value of each potential resonant node. The matching contribution values ​​of all potential resonant nodes are summed and divided by the total number of potential resonant nodes to obtain the resonant energy path matching degree under the current configuration topology.

[0021] In this embodiment, as Figure 3 As shown, step S3 combines the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor to analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology. This includes the following specific steps: S31. Extract the unique identity identifier and installation node information of each harmonic eliminator from the harmonic eliminator configuration strategy data; extract the operating parameters of each harmonic eliminator from the operating parameter data. The operating parameters include the starting voltage threshold on the volt-ampere characteristic curve, the residual voltage value under the rated current, and the action start time and action duration in historical resonance events. Specifically, when implemented, extract the unique identity identifier (such as device ID, serial number) of each harmonic eliminator and its precise installation node information (such as substation name, voltage level, bus number) from the harmonic eliminator configuration strategy data. These information are used to physically locate each device and associate it with its operating data, which come from the production management system (PMS) or asset management system. Further, what is more crucial in this embodiment is to extract the detailed operating parameters of each harmonic eliminator from the operating parameter data. First, it is the starting voltage threshold on the volt-ampere characteristic curve, which is the core parameter of the current-sensitive resistor type harmonic eliminator, referring to the voltage critical point where the metal oxide varistor inside it starts to turn from a high-resistance state to a low-resistance state. It can be obtained through the following methods: one is to conduct a DC or power frequency AC volt-ampere characteristic test on the varistor by a dedicated tester during equipment factory shipment or regular maintenance, and record the voltage value corresponding to when the current reaches a specified small value (such as 1 mA) as the starting voltage threshold; the other is the online monitoring method. Some intelligent harmonic eliminators are built with monitoring modules, which can record the voltage peak at both ends and determine whether an action has occurred recently or within a period of time through an algorithm. Combining the voltage data at the action time can calculate an approximate real-time starting voltage threshold. Secondly, it is the residual voltage value under the rated current, which refers to the voltage peak presented at both ends of the harmonic eliminator when it passes through the specified rated current (usually the power frequency short-time withstand current). This parameter directly relates to the clamping level of the system voltage during the action of the harmonic eliminator. The standard acquisition method is to apply an impact current with a specified waveform and amplitude to the harmonic eliminator by a large current generator in the laboratory, and measure the voltage at both ends with a high-precision oscillograph, and take the voltage peak as the residual voltage value. Finally, it is the action start time and action duration in historical resonance events, which are the key to evaluating the dynamic performance. These data rely on the intelligent monitoring unit or fault recording device supporting the harmonic eliminator. When a resonance overvoltage occurs in the system and the voltage at both ends of the harmonic eliminator exceeds its starting threshold, the monitoring unit precisely records the moment when the voltage exceeds the threshold (action start time), and continuously monitors until the voltage drops below the return threshold, and records the duration; S32. Collect the starting voltage thresholds of all online harmonic eliminators at the current moment, and calculate the coefficient of variation of the starting voltage thresholds of all online harmonic eliminators at the current moment as the starting voltage dispersion degree; S33. Collect the residual voltage values of all online harmonic eliminators under the same rated current test conditions, and calculate the coefficient of variation of the residual voltage values of all online harmonic eliminators under the same rated current test conditions as the residual voltage dispersion degree; S34. Calculate the weighted average of the starting voltage dispersion and the residual voltage dispersion to obtain the static characteristic dispersion. It should be noted that when implementing S32, it is necessary to collect the starting voltage threshold of all currently operating harmonic suppressors at the same reference time. The emphasis on "current time" is because this parameter may drift slowly, and using the latest data best reflects the current state of the group. By summoning data from the intelligent units of each harmonic suppressor or obtaining periodically reported data from the centralized monitoring station, a set of starting voltage threshold values ​​is obtained; the coefficient of variation of this set of data is calculated, thereby eliminating the influence of the data's own dimensions and average level, and purely reflecting the relative dispersion of the data. The value of the coefficient of variation is the "starting voltage dispersion". The larger the value, the greater the difference in the voltage threshold for each harmonic suppressor to start operating. When the system resonates, it may cause some harmonic suppressors to operate prematurely while others operate with a lag, failing to achieve synchronous operation and weakening the overall damping effect. When implementing step S33, it is necessary to collect the residual voltage values ​​of all online harmonic suppressors measured under the same rated current test conditions. The "same conditions" here are crucial, including the same current waveform (such as a power frequency sine wave), the same current amplitude (such as 10kA RMS value), and the same impact time, to ensure data comparability. The residual voltage values ​​measured by all online harmonic suppressors under the same rated current test conditions are obtained from the equipment factory report, periodic preventive test report, or special test report. The residual voltage value array is compiled, and the coefficient of variation of this set of data is calculated to obtain the "residual voltage dispersion". The larger the value, the more inconsistent the clamping level of each harmonic suppressor on the system voltage after operation, which may lead to uneven overvoltage suppression effect at different nodes in the system, and may even generate unbalanced current between harmonic suppressors.

[0022] In this embodiment, as Figure 4 As shown, step S3, which combines the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor, analyzes the performance of the harmonic suppressor group in the target power system under the current configuration topology. This also includes the following specific steps: S35. Extract the complete waveform data of the most recent system resonance event, identify the start time and duration of action of all active harmonic suppressors; calculate the standard deviation of the start time of action of all active harmonic suppressors and divide it by the total duration of the most recent system resonance event to obtain the dispersion of action time; calculate the standard deviation of the duration of action of all active harmonic suppressors and divide it by the average duration of action of all active harmonic suppressors to obtain the dispersion of action duration; calculate the weighted average of the dispersion of action time and the dispersion of action duration to obtain the dynamic dispersion of action; in specific implementation, the primary task is to extract the complete waveform data of the most recent reliably recorded and confirmed system resonance event; obtain it from the power system's fault waveform recording system or protection information management system, the data file contains the voltage and current waveforms of multiple lines and buses of the relevant substations during the event; at the same time, extract the start time and duration of action of all harmonic suppressors that recorded action during the same event; furthermore, to ensure time accuracy, all timestamps must be based on a unified network-wide synchronous clock source. After identifying the set of all active harmonic suppressors, perform two calculations. First, the standard deviation of the start time of all active harmonic suppressors is calculated, thus directly quantifying the dispersion of the start time of the harmonic suppressor group. Then, the total duration of the resonance event is determined from the system waveform data. The total duration of the resonance event can be defined as the entire process time from resonance excitation to complete suppression. Dividing the standard deviation of the start time of the action by the total duration of the event yields the "dispersion of action time," thus eliminating the influence of different event durations and making the dispersion between different events comparable. The smaller the dispersion of action time, the more synchronous the harmonic suppressor startup. Second, the standard deviation of the duration of action of all active harmonic suppressors is calculated; at the same time, the average duration of these harmonic suppressors is also calculated. Dividing the standard deviation by the average duration yields the dispersion of action duration, thus reflecting the consistency of the duration of action of the harmonic suppressor group. The smaller the dispersion of action duration, the better the synchronicity of the harmonic suppressors exiting operation. S36. The static performance level is obtained by subtracting the static characteristic dispersion from the numerical value; the dynamic performance level is obtained by subtracting the dynamic action dispersion from the numerical value; the weighted geometric mean of the static and dynamic performance levels is calculated to obtain the overall performance of the harmonic suppressor group in the target power system under the current configuration topology. It should be noted that the choice of the geometric mean is crucial because it has the characteristic of penalizing weak links. Compared with the arithmetic mean, if any one of the parameters is significantly low (i.e., there is a significant weakness), the geometric mean will significantly lower the final calculation result. This is more consistent with the fact that in a group, either due to large parameter differences or asynchronous actions, if there is a serious defect, the overall performance will be greatly reduced; while the arithmetic mean may mask this weakness effect. The weighting reflects the trade-off between the importance of static consistency and dynamic synchronization, and can be determined by analyzing the contribution of historical cases to the harmonic suppression success rate.

[0023] In this embodiment, step S4 evaluates the balance of the current-resistor type current-limiting harmonic suppressor configuration under the current topology based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system. This includes the following specific steps: S41. Extract the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system; S42. The results of the analysis of the resonant energy path matching degree under the current configuration topology and the results of the analysis of the performance effect of the harmonic suppressor group in the target power system are weighted and summed to obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

[0024] In this embodiment, step S5 optimizes the harmonic suppressor configuration strategy of the target power system based on the evaluation results of the balanced configuration of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology, including the following specific contents: S51. Obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology; S52. Preset configuration layout balance threshold. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is less than the configuration layout balance threshold, the configuration layout balance is used as the optimization target, and a genetic algorithm is used to perform global optimization of the harmonic suppressor configuration strategy to generate an optimized harmonic suppressor configuration strategy. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is greater than or equal to the configuration layout balance threshold, the current harmonic suppressor configuration strategy is maintained.

[0025] Among them, taking the balance of the configuration layout as the optimization objective, a genetic algorithm is used to globally optimize the harmonic suppressor configuration strategy, generating an optimized harmonic suppressor configuration strategy; specifically including: S521. Define the encoding method of individuals in the genetic algorithm, where each individual represents a candidate harmonic suppressor configuration strategy; an individual consists of M gene positions, where M is the maximum preset number of harmonic suppressors that can be installed in the target power system; each gene position corresponds to a candidate installation location and contains two adjustable parameters: a Boolean flag indicating whether a harmonic suppressor is installed at this location, and a set value for the start-up voltage threshold of the harmonic suppressor if a harmonic suppressor is installed at this location. S522. Based on the current harmonic suppressor configuration strategy, generate an initial population containing N individuals through random perturbation, where N is the set population size; S523. For each candidate configuration strategy represented by an individual in the population, substitute it into steps S2 to S4 to calculate the balance of the configuration layout corresponding to the candidate configuration strategy as the fitness of the corresponding individual. S524. According to the roulette wheel selection method, parent individuals for breeding are selected proportionally based on the fitness value of each individual. Among them, individuals with higher fitness have a higher probability of being selected. S525. Pair the selected parent individuals together, and exchange some of their gene loci with a preset crossover probability for each pair of individuals to generate new offspring individuals. S526. For all newly generated offspring individuals, the values ​​of certain gene loci are randomly changed with a preset mutation probability. The random changes include switching the Boolean installation flag or randomly setting a new value within the allowable range of the start-up voltage threshold setting. S527. Take the new set of offspring individuals generated after steps S524-S526 as the next generation population, and repeat steps S523 to S526; when the number of iterations reaches the preset maximum number of generations, terminate the algorithm iteration. S528. Decode the individual with the highest fitness value in the population over the generations, convert its gene locus sequence into a specific set of harmonic suppressor installation locations and the start-up voltage threshold setting value of the harmonic suppressor at each location, and output the optimized harmonic suppressor configuration strategy.

[0026] It should be noted that the weights and thresholds in this embodiment are determined as follows: 3000 independent power system resonance event case data sets are obtained. Each case data set includes: structural characteristic data of the target power system in that event, harmonic suppressor configuration strategy data, and operating parameter data of the current-limiting harmonic suppressor. Simultaneously, the judgment results regarding whether the harmonic suppressor configuration needs adjustment for each of the 3000 independent power system resonance event cases are obtained. Based on steps S2 to S4 disclosed in this technical solution, for each of the 3000 cases, according to the provided system structure, configuration strategy, and operating parameter data, the degree of resonance energy path matching and the degree of harmonic suppressor group performance under the current undetermined weight and threshold combination are calculated, and finally, the degree of configuration layout balance is synthesized. The configuration layout balance degree calculated from the 3000 cases, along with the corresponding judgment results regarding whether the harmonic suppressor configuration needs adjustment, are imported into a multivariate nonlinear regression fitting analysis software. The software iterates and searches to find the corresponding weight coefficient and threshold values ​​that maximize the determination coefficient between the configuration layout balance degree output by the model and the judgment result.

[0027] Example 2 like Figure 5 As shown, this embodiment provides a device for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, including: The data acquisition module is used to acquire structural characteristic data of the target power system, harmonic suppressor configuration strategy data, and operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. The path matching module is used to analyze the degree of resonant energy path matching under the current configuration topology by combining the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data. The group performance analysis module is used to analyze the group performance of harmonic suppressors in the target power system under the current configuration topology by combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor. The configuration layout analysis module is used to evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system. The configuration optimization module is used to optimize the harmonic suppressor configuration strategy of the target power system based on the evaluation results of the balanced configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

[0028] The parameters and steps of each unit module in the current-sensitive resistor type current-limiting harmonic suppressor operation parameter analysis device of the present invention described above can be referred to the parameters and steps in the embodiments of the current-sensitive resistor type current-limiting harmonic suppressor operation parameter analysis method described above, and will not be repeated here.

[0029] The various embodiments in this invention are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, the embodiments for IoT devices and media are relatively simple in description because they are fundamentally similar to the method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0030] The systems, media, and methods provided in the embodiments of the present invention are in one-to-one correspondence. Therefore, the systems and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0031] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0032] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0033] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0034] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0035] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0036] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0037] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0038] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, characterized in that, Includes the following steps: S1. Obtain structural characteristic data and harmonic suppressor configuration strategy data of the target power system, and at the same time obtain the operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. S2. Based on the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data, analyze the degree of resonant energy path matching under the current configuration topology; S3. Combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor, analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology; S4. Based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system, evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology. S5. Based on the evaluation results of the balanced configuration of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology, optimize the harmonic suppressor configuration strategy of the target power system.

2. The method for analyzing operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 1, characterized in that, In step S2, the degree of resonant energy path matching under the current topology is analyzed by combining the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data. Specifically, this includes: S21. Extract the target power system main wiring diagram, measured three-phase voltage data of each node, measured current data of each branch, and equivalent impedance parameters of the target power system from the structural characteristic data; extract the installation node location information of all configured harmonic suppressors from the harmonic suppressor configuration strategy data. S22. Based on the main wiring diagram of the target power system and the equivalent impedance parameters, the impedance amplitude of each electrical connection node of the target power system at the selected subharmonic frequency is calculated using the frequency scanning method. The corresponding electrical connection node whose impedance amplitude exceeds the first preset threshold is marked as a potential resonant node. The electrical distance from each potential resonant node to all the installation node locations is calculated. The N corresponding installation node locations with the smallest electrical distances are selected to form the associated resonant node group, where N is a positive integer greater than or equal to 1.

3. The method for analyzing operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 2, characterized in that, Step S2, which combines the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data to analyze the degree of resonant energy path matching under the current configuration topology, also includes the following specific steps: S23. Read the measured harmonic voltage content and harmonic current distortion rate at the installation node of each harmonic suppressor in the associated harmonic suppressor group of each potential resonant node; take the product of the average harmonic voltage content and the average harmonic current distortion rate at all installation nodes of the associated harmonic suppressor group of each potential resonant node as the energy exposure of each potential resonant node. S24. Sum the electrical admittances from all the harmonic suppressor installation nodes to the corresponding potential resonant nodes in the associated harmonic suppressor groups of each potential resonant node, and use the ratio of the summation result to the system reference admittance as the topology coverage of each potential resonant node. S25. The energy exposure and topology coverage of each potential resonant node are weighted and summed to obtain the matching contribution value of each potential resonant node. The matching contribution values ​​of all potential resonant nodes are summed and then divided by the total number of potential resonant nodes to obtain the resonant energy path matching degree under the current configuration topology.

4. The method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 3, characterized in that, Step S3, combining harmonic suppressor configuration strategy data and operating parameter data of current-sensitive resistor-type current-limiting harmonic suppressors, analyzes the performance of the harmonic suppressor group in the target power system under the current configuration topology, including the following specific steps: S31. Extract the unique identifier and installation node information of each harmonic suppressor from the harmonic suppressor configuration strategy data; extract the operating parameters of each harmonic suppressor from the operating parameter data, including the starting voltage threshold on the volt-ampere characteristic curve, the residual voltage value under the rated current, and the start time and duration of the action in historical resonance events. S32. Collect the current start-up voltage threshold of all online harmonic suppressors, and calculate the coefficient of variation of the current start-up voltage threshold of all online harmonic suppressors as the degree of start-up voltage dispersion. S33. Collect the residual voltage values ​​of all online harmonic suppressors under the same rated current test conditions, and calculate the coefficient of variation of the residual voltage values ​​of all online harmonic suppressors under the same rated current test conditions as the degree of residual voltage dispersion. S34. Calculate the weighted average of the starting voltage dispersion and the residual voltage dispersion to obtain the static characteristic dispersion.

5. The method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 3, characterized in that, Step S3, which combines harmonic suppressor configuration strategy data and operating parameter data of current-sensitive resistor-type current-limiting harmonic suppressors to analyze the performance of the harmonic suppressor group in the target power system under the current configuration topology, also includes the following specific steps: S35. Extract the complete waveform data of the most recent system resonance event, identify the start time and duration of action of all active harmonic suppressors; calculate the standard deviation of the start time of action of all active harmonic suppressors, and divide it by the total duration of the most recent system resonance event to obtain the dispersion of action time; calculate the standard deviation of the duration of action of all active harmonic suppressors, and divide it by the average duration of action of all active harmonic suppressors to obtain the dispersion of action duration; calculate the weighted average of the dispersion of action time and the dispersion of action duration to obtain the dynamic dispersion of action. S34. The static performance level is obtained by subtracting the static characteristic dispersion from the numerical value 1; the dynamic performance level is obtained by subtracting the dynamic action dispersion from the numerical value 1. The weighted geometric mean of static performance and dynamic performance is calculated to obtain the overall performance of the harmonic suppressor group in the target power system under the current configuration topology.

6. The method for analyzing operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 5, characterized in that, In step S4, based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system, the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is evaluated, including the following specific steps: S41. Extract the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system; S42. The results of the analysis of the resonant energy path matching degree under the current configuration topology and the results of the analysis of the performance effect of the harmonic suppressor group in the target power system are weighted and summed to obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

7. The method for analyzing operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to claim 6, characterized in that, In step S5, based on the evaluation results of the balanced configuration of the current-sensitive resistor-type current-limiting harmonic suppressors under the current configuration topology, the harmonic suppressor configuration strategy of the target power system is optimized, including the following specific contents: S51. Obtain the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology; S52. A preset configuration layout balance threshold is set. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is less than the configuration layout balance threshold, the configuration layout balance is used as the optimization target, and a genetic algorithm is used to globally optimize the harmonic suppressor configuration strategy to generate an optimized harmonic suppressor configuration strategy. When the configuration layout balance of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology is greater than or equal to the configuration layout balance threshold, the current harmonic suppressor configuration strategy is maintained.

8. A device for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor, which is implemented based on the method for analyzing the operating parameters of a current-sensitive resistor-type current-limiting harmonic suppressor according to any one of claims 1-7, characterized in that, The system includes: The data acquisition module is used to acquire structural characteristic data of the target power system, harmonic suppressor configuration strategy data, and operating parameter data of the current-limiting harmonic suppressor of the current-sensitive resistor type. The path matching module is used to analyze the degree of resonant energy path matching under the current configuration topology by combining the structural characteristic data of the target power system and the harmonic suppressor configuration strategy data. The group performance analysis module is used to analyze the group performance of harmonic suppressors in the target power system under the current configuration topology by combining the harmonic suppressor configuration strategy data and the operating parameter data of the current-sensitive resistor type current-limiting harmonic suppressor. The configuration layout analysis module is used to evaluate the balance of the configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology based on the analysis results of the resonant energy path matching degree under the current configuration topology and the analysis results of the performance effect of the harmonic suppressor group in the target power system. The configuration optimization module is used to optimize the harmonic suppressor configuration strategy of the target power system based on the evaluation results of the balanced configuration layout of the current-sensitive resistor type current-limiting harmonic suppressor under the current configuration topology.

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