Method for correcting flashover voltage of insulator containing metal components and related equipment

Abstract

The embodiment of the invention discloses a metal component-containing insulator flashover voltage correction method and related equipment. The method comprises the following steps: acquiring a flashover voltage correction coefficient according to a first flashover voltage of a reference cleaning insulator and a second flashover voltage of a tested insulator simulating metal contamination; and the insulator flashover voltage of the target insulator is determined according to the correction coefficient of the flashover voltage and the metal dirt component of the target insulator in the actual working condition, so that the flashover voltage value is accurately calculated, the insulator can be guided to be replaced or cleaned on time, manpower and material resources are greatly saved, efficiency and accuracy are high, and the method is suitable for popularization and application. And safe and stable operation of a power grid is guaranteed.

Description

[Technical field]

[0001] The invention relates to the technical field of voltage testing, in particular to a flashover voltage correction method for an insulator containing metal components and related equipment. [Background technology]

[0002] Due to the continuous development of the electrolytic aluminum industry in recent years, metal particle contaminants will accumulate on the surface of external insulating equipment such as transmission lines and substation insulators in industrial clusters and heavy industrial areas. Unlike soluble contaminants, metal particles are conductive insoluble contaminants, and flashover is very likely to occur under weather conditions with high air humidity. Therefore, it is of great engineering practical significance to study the flashover voltage correction method of insulator contamination containing metal proportions, and then guide the replacement and cleaning of insulators in heavy industrial areas in actual operating environments, which is of great engineering practical significance for the safe and stable operation of power grids.

[0003] However, due to the different pollution areas, the metal particle pollution composition and content are different due to the influence of air flow and industrial characteristics, and the corresponding flashover voltage will also be different; the traditional insulator maintenance method mainly relies on regular inspection and visual detection, but this method has certain limitations, including large workload, low efficiency and cannot accurately predict the failure time of insulators. [Summary of the invention]

[0004] In view of this, the present invention provides a flashover voltage correction method for an insulator containing a metal component and related equipment.

[0005] The specific technical solution of the first embodiment of the present invention is: a method for correcting the flashover voltage of an insulator containing metal components, the method comprising: applying a voltage to a reference clean insulator and obtaining a first flashover voltage of the reference clean insulator; applying a voltage to a test insulator simulating metal contamination and obtaining a second flashover voltage of the test insulator; obtaining a correction coefficient of the flashover voltage based on the first flashover voltage and the second flashover voltage; determining the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions.

[0006] Preferably, applying voltage to the reference clean insulator and obtaining a first flashover voltage of the reference clean insulator comprises: applying voltage to the reference clean insulator and obtaining the first flashover voltage of the reference clean insulator according to temperature, cleanliness and dryness.

[0007] Preferably, the first flashover voltage is obtained using the following formula:

[0008] U f =U0·(1-α·ΔT)·β -C γ -D

[0009] Among them, U f is the first flashover voltage, U0 is the standard flashover voltage of a reference clean insulator under a preset air pressure, a preset temperature, a preset cleanliness and a preset dryness, α is a temperature coefficient, and the temperature coefficient is used to characterize the influence of ambient temperature changes on the flashover voltage, ΔT is the difference between the current temperature and the preset temperature, β is a cleanliness coefficient, and the cleanliness coefficient is used to characterize the influence of the dirtiness of the insulator surface on the flashover voltage, C is a preset cleanliness index, γ is a dryness coefficient, and the dryness coefficient is used to characterize the influence of the wetness of the insulator surface on the flashover voltage, and D is a preset dryness index.

[0010] Preferably, the correction coefficient of the flashover voltage is obtained using the following formula:

[0011]

[0012] Among them, K Y is the correction factor of the flashover voltage, is the second flashover voltage, U0 is the first flashover voltage, wherein n represents the metal component content, and m represents the salt content.

[0013] Preferably, after obtaining the correction coefficient of the flashover voltage, it also includes: fitting the correction coefficient of the flashover voltage using the salt content and the metal component content to obtain the fitted correction coefficient; then determining the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in the actual working condition includes: determining the insulator flashover voltage of the target insulator according to the fitted correction coefficient and the metal contamination component of the target insulator in the actual working condition.

[0014] Preferably, the correction coefficient after fitting is obtained using the following formula:

[0015] K = a i ·m+b j ·n

[0016] Wherein, K is the correction coefficient after fitting, a i is the preset salt content influence coefficient, m is the salt content, b j is the preset metal component content influence coefficient, and n is the metal component content.

[0017] Preferably, the method further comprises: determining the metal contamination composition of the test insulator simulating metal contamination based on the metal contamination composition of the target insulator in the actual working condition.

[0018] The specific technical solution of the second embodiment of the present invention is: a flashover voltage correction system for insulators containing metal components, the system comprising: a first flashover voltage acquisition module, a second flashover voltage acquisition module, a correction coefficient acquisition module and a correction module; the first flashover voltage acquisition module is used to apply a voltage to a reference clean insulator and obtain a first flashover voltage of the reference clean insulator; the second flashover voltage acquisition module is used to apply a voltage to a test insulator simulating metal contamination and obtain a second flashover voltage of the test insulator; the correction coefficient acquisition module is used to obtain a correction coefficient of the flashover voltage based on the first flashover voltage and the second flashover voltage; the correction module is used to determine the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions.

[0019] The specific technical solution of the third embodiment of the present invention is: an insulator flashover voltage correction device containing metal components, comprising a memory and a processor, the memory storing a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application.

[0020] The specific technical solution of the fourth embodiment of the present invention is: a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to perform the steps of the method described in any one of the first embodiments of the present application.

[0021] Implementing the embodiments of the present invention will have the following beneficial effects:

[0022] The present invention obtains a correction coefficient of flashover voltage according to a first flashover voltage of a reference clean insulator and a second flashover voltage of a test insulator simulating metal contamination; and determines the insulator flashover voltage of a target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions, thereby accurately calculating the obtained flashover voltage value, thereby guiding the timely replacement or cleaning of the insulator, greatly saving manpower and material resources, and having high efficiency and accuracy, providing guarantee for the safe and stable operation of the power grid.

Brief Description of the Drawings

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 A flow chart of steps of a method for correcting flashover voltage of an insulator containing metallic components;

[0025] Figure 2 It is a structural schematic diagram of the flashover voltage correction system for insulators containing metal components;

[0026] Figure 3 A diagram of the internal structure of a computer device;

[0027] Among them, 201, a first flashover voltage acquisition module; 202, a second flashover voltage acquisition module; 203, a correction coefficient acquisition module; 204, a correction module. [Specific implementation method]

[0028] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules that are inherent to these processes, methods, products or devices.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] See also Figure 1 , is a flowchart of a method for correcting the flashover voltage of an insulator containing metal components in the first embodiment of the present application, which is used to provide a guarantee for the safe and stable operation of the power grid, and the method includes:

[0032] Step 101, applying a voltage to a reference clean insulator, and obtaining a first flashover voltage of the reference clean insulator;

[0033] Step 102, applying a voltage to the insulator under test simulating metal contamination, and obtaining a second flashover voltage of the insulator under test;

[0034] Step 103, obtaining a correction coefficient of a flashover voltage based on the first flashover voltage and the second flashover voltage;

[0035] Step 104: determining the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions.

[0036] Specifically, collect contamination samples from the surface of insulating equipment in heavily polluted industrial areas; test and analyze the metal components and the proportion of contamination components, and give the metal contamination components and proportioning methods under laboratory simulation of different metal contamination degrees; compare the flashover data of on-site metal contamination samples to verify the effectiveness and scientificity of the laboratory metal contamination simulation method; apply voltage to reference clean insulators (different structures) in a laboratory environment, and obtain their flashover voltage; apply voltage to test insulators simulating metal contamination in a laboratory environment, and obtain their flashover voltage; determine the correction coefficient of the contamination flashover voltage of insulators containing metal proportion components; based on the correction coefficient of the contamination flashover voltage of insulators containing metal proportion components, calculate the flashover voltage of insulators containing different metal proportion components in actual working conditions according to the correction coefficient and the metal contamination composition of the target insulator.

[0037] The method in this embodiment obtains the correction coefficient of the flashover voltage according to the first flashover voltage of the reference clean insulator and the second flashover voltage of the test insulator simulating metal contamination; and determines the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination composition of the target insulator in actual working conditions, thereby accurately calculating the flashover voltage value, so that the insulator can be replaced or cleaned on time, which greatly saves manpower and material resources and has high efficiency and accuracy, providing guarantee for the safe and stable operation of the power grid.

[0038] In a specific embodiment, applying voltage to a reference clean insulator and obtaining a first flashover voltage of the reference clean insulator includes: applying voltage to the reference clean insulator and obtaining the first flashover voltage of the reference clean insulator according to temperature, cleanliness and dryness.

[0039] Specifically, the increase in temperature may cause the electrons on the surface of the insulating material to obtain higher energy, which is more likely to cause electron detrapping and secondary emission, thereby reducing the flashover voltage; as the degree of contamination on the surface of the insulator increases, the conductivity of the contamination layer is enhanced, resulting in a decrease in the flashover voltage of the insulator. This is because the contamination layer forms a conductive channel, which makes the electric field distribution more uneven and reduces the insulation strength of the insulator; when the insulator is in a dry state, the resistance of its surface is large, so the insulation performance is better. In this case, the flashover voltage is relatively high because the dry surface reduces the formation of the conductive channel; on the contrary, when the surface of the insulator is wet, water molecules will penetrate into the contamination layer to form a conductive channel, thereby reducing the insulation performance. In this case, the flashover voltage will be significantly reduced. Therefore, correcting the flashover voltage of the insulator according to temperature, cleanliness and dryness can more accurately evaluate its insulation performance under different environmental conditions, thereby reducing power outages and equipment damage caused by flashover accidents, and the corrected flashover voltage can more truly reflect the insulation strength of the insulator in actual operation, which helps to discover potential insulation defects in advance and take corresponding measures to repair or replace them, thereby enhancing the insulation reliability of the power system.

[0040] In a specific embodiment, the first flashover voltage is obtained using the following formula:

[0041] U f =U0·(1-α·ΔT)·β -C γ -D

[0042] Among them, U f is the first flashover voltage, U0 is the standard flashover voltage of a reference clean insulator under a preset air pressure, a preset temperature, a preset cleanliness and a preset dryness, α is a temperature coefficient, and the temperature coefficient is used to characterize the influence of ambient temperature changes on the flashover voltage, ΔT is the difference between the current temperature and the preset temperature, β is a cleanliness coefficient, and the cleanliness coefficient is used to characterize the influence of the dirtiness of the insulator surface on the flashover voltage, C is a preset cleanliness index, γ is a dryness coefficient, and the dryness coefficient is used to characterize the influence of the wetness of the insulator surface on the flashover voltage, and D is a preset dryness index.

[0043] Specifically, traditional flashover voltage prediction methods often only consider single factors, such as voltage level, insulator type, etc., while ignoring the significant impact of environmental factors on flashover voltage. By introducing parameters such as temperature, cleanliness and dryness, the prediction error can be significantly reduced and the prediction accuracy can be improved. By comprehensively considering factors such as temperature, cleanliness and dryness, the contamination and wetness of the insulator surface can be discovered in time, so that preventive measures can be taken to avoid flashover accidents.

[0044] In a specific embodiment, the correction coefficient of the flashover voltage is obtained using the following formula:

[0045]

[0046] Among them, K Y is the correction factor of the flashover voltage, is the second flashover voltage, U0 is the first flashover voltage, wherein n represents the metal component content, and m represents the salt content.

[0047] Specifically, metal components, especially certain conductive metal oxides such as TiO2 and MgO doped in ceramics, will significantly affect the flashover voltage of the material. By considering the content of metal components, the insulation performance and flashover voltage of the material can be more accurately evaluated. Salts, especially soluble salts such as NaCl, will form a conductive layer on the surface of the material, thereby reducing the flashover voltage. By considering the salt content, the predicted value of the flashover voltage can be further corrected to make it closer to the actual situation.

[0048] In a specific embodiment, after obtaining the correction coefficient of the flashover voltage, it also includes: fitting the correction coefficient of the flashover voltage using the salt content and the metal component content to obtain the fitted correction coefficient; then determining the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in the actual working condition includes: determining the insulator flashover voltage of the target insulator according to the fitted correction coefficient and the metal contamination component of the target insulator in the actual working condition.

[0049] Specifically, by fitting the correction coefficient between the salt content and the metal content and the flashover voltage, the flashover voltage value under different salinities and metal content can be predicted more accurately. This accuracy is crucial for the design and operation and maintenance of power systems because it can help engineers more accurately evaluate the insulation performance of insulators, thereby ensuring the safe operation of power systems. Fitting the correction coefficient can help engineers be more sensible when choosing insulator materials. Understanding the impact of different salinities and metal content on flashover voltage, appropriate insulator materials can be selected according to specific application scenarios. In addition, the structural design of the insulator can be optimized according to the fitted correction coefficient, such as increasing the creepage distance, changing the surface shape, etc., to improve its insulation performance and anti-flashover ability. By fitting the correction coefficient, the degradation of insulation performance caused by salt deposition and changes in metal content on the surface of the insulator can be discovered in time. This helps engineers take preventive measures, such as strengthening cleaning and replacing insulators, to avoid flashover accidents. Thereby, the stability and reliability of the power system are enhanced, and power outages and equipment damage caused by flashover accidents are reduced.

[0050] In a specific embodiment, the correction coefficient after fitting is obtained using the following formula:

[0051] K = a i ·m+b j ·n

[0052] Wherein, K is the correction coefficient after fitting, a i is the preset salt content influence coefficient, m is the salt content, b j is the preset metal content influence coefficient, and n is the metal content. By fitting the correction coefficient, the operation and maintenance strategy of the insulator can be optimized. For example, in areas with high salinity and metal content, the cleaning and maintenance of insulators can be strengthened to reduce the occurrence of flashover accidents. This can not only reduce the operation and maintenance costs, but also improve the economic benefits of the power system.

[0053] In a specific embodiment, the method further includes: determining the metal contamination composition of the test insulator simulating metal contamination based on the metal contamination composition of the target insulator in the actual working condition. Specifically, in the laboratory, according to the composition analysis results, a certain proportion of metal particles are added to ordinary contamination to simulate the contamination containing metal components and the level is set to Where m represents the salt content, n represents the metal content; the metal pollution level is set as Ⅰ, Ⅱ, Ⅲ..., and the flashover data of samples with different degrees of metal pollution on site are U J ; The flashover voltage of artificially applied metal pollution of different levels is U X ; Where X is the metal contamination level; Compare the flashover data U of samples with different degrees of metal contamination J , calibrate the flashover voltage of artificially smeared metal pollution of different levels, make the metal pollution composition of the test insulator simulating metal pollution the same as the metal pollution composition of the target insulator in actual working conditions; and standardize the metal composition and mixing ratio corresponding to the metal pollution level level.

[0054] In a specific embodiment, the flashover voltage is obtained by a method based on multi-parameter fusion and machine learning, which specifically includes the following steps:

[0055] 1. Data Collection and Processing

[0056] Multi-sensor integration: Multiple sensors are installed on or around the insulator surface, including but not limited to temperature sensors, humidity sensors, salt density sensors, metal composition analyzers, etc. These sensors can monitor multiple physical and chemical parameters of the insulator environment in real time.

[0057] Data preprocessing: Clean, denoise and standardize the collected raw data to ensure the accuracy and consistency of the data. At the same time, interpolate the missing data to ensure the integrity of the data set.

[0058] 2. Feature extraction and selection

[0059] Feature engineering: Based on multi-sensor data, extract features closely related to flashover voltage, such as temperature, humidity, salt density, metal content, etc. Through feature transformation and dimensionality reduction techniques, such as principal component analysis (PCA) and linear discriminant analysis (LDA), further screen out features that have a significant impact on flashover voltage prediction. Specifically, the features with significant impact include: environmental factors, pollution factors, insulator factors, electric field factors, etc.;

[0060] (1) Environmental factors

[0061] Humidity: Humidity is one of the important factors affecting flashover voltage. When the surface of the insulator is damp, its insulation performance will be significantly reduced, resulting in a decrease in flashover voltage. Especially in humid weather such as fog, dew, frost or light snow, the flashover voltage of the insulator will be further reduced.

[0062] Temperature: Temperature changes will also affect the insulation performance and flashover voltage of the insulator. Generally speaking, as the temperature increases, the insulation performance of the insulator will decrease and the flashover voltage will decrease accordingly. However, it should be noted that this effect is not linear, but rather has a certain degree of complexity.

[0063] Air pressure: Changes in air pressure will also affect the flashover voltage. Under low air pressure, the mean free path of gas molecules increases, and the probability of collision and ionization increases, which leads to a decrease in the flashover voltage.

[0064] (2) Dirt Factors

[0065] Salt density: Salt density refers to the density of salt attached to the surface of the insulator. The presence of salt will reduce the insulation performance of the insulator, especially in a humid environment. The electrolyte solution formed after the salt dissolves will accelerate the aging process of the insulator, thereby reducing the flashover voltage.

[0066] Metal content: The metal content on the surface of the insulator will also affect the flashover voltage. The presence of metal components may form a conductive path and reduce the insulation performance of the insulator. In addition, the metal components may interact with other environmental factors (such as humidity, temperature, etc.) to further affect the flashover voltage.

[0067] (3) Insulator factors

[0068] Insulator type: Different types of insulators have different insulation properties and construction features, so their flashover voltages will also be different. For example, the flashover voltages of porcelain insulators and composite insulators under the same conditions may be significantly different.

[0069] Insulator surface condition: The smoothness, roughness, and presence of cracks on the insulator surface will also affect its insulation performance and flashover voltage. Insulators with rough surfaces or cracks are more likely to discharge, thereby reducing the flashover voltage.

[0070] (4) Electric field factors

[0071] Electric field strength: Electric field strength is one of the key factors affecting flashover voltage. When the electric field strength increases to a certain level, it will cause the gas or liquid dielectric on the surface of the insulator to be broken down, thus causing the flashover phenomenon.

[0072] Electric field distribution: The uniformity of the electric field distribution will also affect the flashover voltage. In an extremely non-uniform electric field, the component of the electric field strength perpendicular to the surface of the medium is much greater than the component parallel to the surface, and in this case, flashover is more likely to occur.

[0073] Importance assessment: Use feature importance assessment methods in machine learning algorithms, such as random forests and gradient boosting trees, to sort the extracted features by importance to ensure that the selected features can fully and accurately reflect the insulation performance and flashover voltage characteristics of the insulators.

[0074] 3. Model construction and training

[0075] Machine learning model: Select machine learning algorithms suitable for processing high-dimensional data and complex relationships, such as deep learning (such as convolutional neural network CNN, recurrent neural network RNN), support vector machine (SVM), ensemble learning (such as AdaBoost, Bagging), etc., to build a flashover voltage prediction model.

[0076] Model training and optimization: Use historical data and preprocessed feature data sets to train the model. Optimize model parameters through cross-validation, grid search and other methods to improve the model's prediction accuracy and generalization ability.

[0077] 4. Real-time monitoring and early warning

[0078] Real-time monitoring: Deploy the trained model to the insulator monitoring system to achieve real-time monitoring of the insulator environment and prediction of flashover voltage. The prediction results and abnormal conditions are presented to the operation and maintenance personnel in a timely manner through the visual interface or alarm system.

[0079] Early warning and decision support: According to the prediction results, a reasonable early warning threshold is set. When the predicted flashover voltage is lower than the safety threshold, the system sends out an early warning signal and provides corresponding operation and maintenance decision support, such as strengthening cleaning and replacing insulators.

[0080] 5. Continuous optimization and iteration

[0081] Model evaluation and feedback: Regularly evaluate the model's predictive performance and collect feedback from operation and maintenance personnel. Based on the evaluation results and feedback, continuously optimize and iterate the model to improve prediction accuracy and practicality.

[0082] Technology update and integration: Pay attention to the latest developments in sensing technology, machine learning and big data analysis technology, and integrate new technologies into flashover voltage prediction methods to continuously improve system performance and efficiency.

[0083] This method can accurately predict and monitor the flashover voltage of insulators in real time, providing a strong guarantee for the safe operation of the power system. At the same time, this method is also highly flexible and scalable, and can be customized and optimized according to actual needs.

[0084] Specifically, the flashover voltage U of an insulator contaminated with metal components in actual working conditions is S Determined by:

[0085] U S =U0*K=U0*(a i *m x +b j *n y );

[0086] Among them, U0 is the flashover voltage of the reference clean insulator, a i represents the salt content influence coefficient, b j Represents the influence coefficient of metal composition and content, m x is the salt content obtained after testing the contamination components on the surface of the insulator in actual working conditions, n y It is the metal composition and content obtained after testing the contamination components on the surface of the insulator under actual working conditions.

[0087] In the specific embodiments, see Figure 2, is a structural schematic diagram of a flashover voltage correction system for an insulator containing metal components in the second embodiment of the present application, the system comprising: a first flashover voltage acquisition module 201, a second flashover voltage acquisition module 202, a correction coefficient acquisition module 203 and a correction module 204; the first flashover voltage acquisition module 201 is used to apply a voltage to a reference clean insulator and obtain a first flashover voltage of the reference clean insulator; the second flashover voltage acquisition module 202 is used to apply a voltage to a test insulator simulating metal contamination and obtain a second flashover voltage of the test insulator; the correction coefficient acquisition module 203 is used to obtain a correction coefficient of the flashover voltage based on the first flashover voltage and the second flashover voltage; the correction module 204 is used to determine the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions. The system in this embodiment obtains the correction coefficient of the flashover voltage according to the first flashover voltage of the reference clean insulator and the second flashover voltage of the test insulator simulating metal contamination; and determines the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination composition of the target insulator in actual working conditions, thereby accurately calculating the flashover voltage value, so that the insulator can be guided to be replaced or cleaned on time, which greatly saves manpower and material resources and has high efficiency and accuracy, providing guarantee for the safe and stable operation of the power grid.

[0088] In a specific embodiment, the third embodiment of the present application provides a flashover voltage correction device for insulators containing metal components, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application. The device in this embodiment obtains a correction coefficient for the flashover voltage based on the first flashover voltage of a reference clean insulator and the second flashover voltage of a test insulator simulating metal contamination; and determines the insulator flashover voltage of the target insulator based on the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions, thereby accurately calculating the flashover voltage value, so that the insulator can be replaced or cleaned on time, which greatly saves manpower and material resources and has high efficiency and accuracy, providing guarantee for the safe and stable operation of the power grid.

[0089] In a specific embodiment, the fourth embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the method described in any one of the first embodiments of the present application. The storage medium in the embodiment obtains the correction coefficient of the flashover voltage according to the first flashover voltage of the reference clean insulator and the second flashover voltage of the test insulator simulating metal contamination; and determines the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in the actual working condition, thereby accurately calculating the flashover voltage value, so that the insulator can be replaced or cleaned on time, which greatly saves manpower and material resources and has high efficiency and accuracy, providing guarantee for the safe and stable operation of the power grid.

[0090] Figure 3 The internal structure of a computer device in one embodiment is shown. The computer device can be a terminal or a server. Figure 3 The computer device includes a processor, a memory, etc. connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. Those skilled in the art can understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0091] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

[0092] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for correcting flashover voltage of an insulator containing metal components, characterized in that: The method comprises: Applying a voltage to a reference clean insulator and obtaining a first flashover voltage of the reference clean insulator; Applying voltage to the insulator under test simulating metal contamination, and obtaining a second flashover voltage of the insulator under test; Obtaining a correction coefficient of a flashover voltage based on the first flashover voltage and the second flashover voltage; The insulator flashover voltage of the target insulator is determined according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions.

2. The method for correcting flashover voltage of an insulator containing metal components according to claim 1, characterized in that: The step of applying a voltage to a reference clean insulator and obtaining a first flashover voltage of the reference clean insulator comprises: A voltage is applied to a reference clean insulator, and a first flashover voltage of the reference clean insulator is obtained according to temperature, cleanliness and dryness.

3. The method for correcting flashover voltage of an insulator containing metal components according to claim 2, characterized in that: The first flashover voltage is obtained by the following formula: U f =U0·(1-α·ΔT)·β -C ·c -D Among them, U f is the first flashover voltage, U0 is the standard flashover voltage of a reference clean insulator under a preset air pressure, a preset temperature, a preset cleanliness and a preset dryness, α is a temperature coefficient, and the temperature coefficient is used to characterize the influence of ambient temperature changes on the flashover voltage, ΔT is the difference between the current temperature and the preset temperature, β is a cleanliness coefficient, and the cleanliness coefficient is used to characterize the influence of the dirtiness of the insulator surface on the flashover voltage, C is a preset cleanliness index, γ is a dryness coefficient, and the dryness coefficient is used to characterize the influence of the wetness of the insulator surface on the flashover voltage, and D is a preset dryness index.

4. The method for correcting flashover voltage of an insulator containing metal components according to claim 1, characterized in that: The correction coefficient of the flashover voltage is obtained by the following formula: Among them, K Y is the correction factor of the flashover voltage, is the second flashover voltage, U0 is the first flashover voltage, wherein n represents the metal component content, and m represents the salt content.

5. The method for correcting flashover voltage of an insulator containing metal components according to claim 1, characterized in that: After obtaining the correction coefficient of the flashover voltage, the method further includes: Using the salt content and the metal component content to fit the correction coefficient of the flashover voltage, and obtaining the fitted correction coefficient; Then, the insulator flashover voltage of the target insulator is determined according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions, including: The insulator flashover voltage of the target insulator is determined according to the fitted correction coefficient and the metal contamination component of the target insulator in actual working conditions.

6. The method for correcting flashover voltage of an insulator containing metal components according to claim 5, characterized in that: The correction coefficient after fitting is obtained by the following formula: K=a i ·m+b j ·n Wherein, K is the correction coefficient after fitting, a i is the preset salt content influence coefficient, m is the salt content, b j is the preset metal component content influence coefficient, and n is the metal component content.

7. The method for correcting flashover voltage of an insulator containing metal components according to claim 1, characterized in that: The method further comprises: The metal contamination composition of the test insulator simulating metal contamination is determined based on the metal contamination composition of the target insulator in the actual working condition.

8. An insulator flashover voltage correction system containing metal components, characterized in that: The system comprises: a first flashover voltage acquisition module, a second flashover voltage acquisition module, a correction coefficient acquisition module and a correction module; The first flashover voltage acquisition module is used to apply voltage to the reference clean insulator and acquire a first flashover voltage of the reference clean insulator; The second flashover voltage acquisition module is used to apply voltage to the insulator under test simulating metal contamination, and obtain the second flashover voltage of the insulator under test; The correction coefficient acquisition module is used to acquire a correction coefficient of a flashover voltage based on the first flashover voltage and the second flashover voltage; The correction module is used to determine the insulator flashover voltage of the target insulator according to the correction coefficient of the flashover voltage and the metal contamination component of the target insulator in actual working conditions.

9. An insulator flashover voltage correction device containing metal components, comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

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