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Capacitive voltage transformer multi-parameter insulation state evaluation method and system

A voltage transformer and insulation state technology, which is applied in the multi-parameter insulation state evaluation field of capacitive voltage transformers, can solve the problems of intermediate transformer breakdown, voltage division ratio changes, affecting the safe operation of the power grid and the fairness of measurement, etc., to achieve Improve the level of operation and maintenance and ensure the effect of safe operation

Pending Publication Date: 2022-01-04
STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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  • Claims
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Problems solved by technology

Due to the influence of raw materials, manufacturing experience, system overvoltage and other factors, CVT may have fault defects such as voltage division ratio changes caused by insulation aging, breakdown of intermediate transformers, and compensation reactors during operation. These defects will directly affect To the safe operation of the power grid and the fairness and justice of measurement

Method used

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  • Capacitive voltage transformer multi-parameter insulation state evaluation method and system
  • Capacitive voltage transformer multi-parameter insulation state evaluation method and system
  • Capacitive voltage transformer multi-parameter insulation state evaluation method and system

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Embodiment 1

[0025] Please refer to figure 1 and figure 2 In an embodiment of the present invention, a method for evaluating a multi-parameter insulation state of a capacitive voltage transformer is provided, which includes the following steps:

[0026] S101. Collect sample data, and perform normalization processing on the sample data. The sample data includes sample set A: CVT aging time, sample set B: CVT insulation characteristic parameters, and sample set C: CVT residual breakdown field strength parameters ;

[0027] In order to reduce the error caused by the large magnitude difference between different insulation characteristic parameters, in this embodiment, the sample data obtained from the experiment is sorted out, calculated and then normalized. The sample normalization formula is : where x, y∈R, x is the sampling value, x min is the minimum sample value, x max is the maximum sample value.

[0028] The sample data includes sample set A, sample set B, and sample set C. Spe...

Embodiment 2

[0055] Please refer to image 3 , some embodiments of the present invention provide a multi-parameter insulation state evaluation system for capacitive voltage transformers, including: a data acquisition module 100: used to collect sample data, and perform normalization processing on the above sample data, the above sample data includes Sample set A, sample set B, and sample set C; the first model building module 200: used to construct an insulation characteristic parameter prediction model based on the above-mentioned sample set A and sample set B, using the support vector machine algorithm, and using the above-mentioned insulation characteristic parameters to predict The model prediction obtains the sample set D; the second model construction module 300: is used to construct a residual breakdown field strength prediction model based on the above-mentioned sample set C and sample set D, using the support vector machine algorithm, to obtain the sample set E, according to the sa...

Embodiment 3

[0058] An embodiment of the present invention provides an electronic device, including: at least one processor 1, at least one memory 2 and a data bus 3;

[0059] Wherein, the above-mentioned processor 1 and the above-mentioned memory 2 complete mutual communication through the above-mentioned data bus 3; the above-mentioned memory 2 stores program instructions that can be executed by the above-mentioned processor 1, and the above-mentioned processor 1 calls the above-mentioned program instructions to execute the above-mentioned embodiment The method in, for example, execute: S101, collect sample data, and perform normalization processing on the above sample data, the above sample data includes sample set A, sample set B and sample set C; S102, based on the above sample set A and sample set B , use the support vector machine algorithm to construct the insulation characteristic parameter prediction model, use the above insulation characteristic parameter prediction model to pred...

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Abstract

The invention discloses a capacitive voltage transformer multi-parameter insulation state evaluation method and system, and equipment, which relate to the technical field of power transmission and transformation equipment. The capacitive voltage transformer multi-parameter insulation state evaluation method comprises the following steps of: acquiring sample data, and subjecting the sample data to normalization processing, wherein the sample data comprise CVT aging time, CVT insulation characteristic parameters and CVT residual breakdown field intensity parameters; establishing an insulation characteristic parameter prediction model by adopting a linear kernel function to obtain a CVT insulation parameter prediction value; adopting a Gaussian radial basis function to establish a residual breakdown field intensity prediction model, and acquiring a residual breakdown field intensity predicted value; and evaluating an insulation state of a CVT according to the residual breakdown field intensity predicted value. According to the capacitive voltage transformer multi-parameter insulation state evaluation method provided by the invention, by establishing the mapping relation between the CVT insulation characteristic parameters and the residual breakdown field intensity, the evaluation of the CVT insulation state is realized, and the safe operation of the CVT and the safe reliability of a power grid are ensured.

Description

technical field [0001] The invention relates to the technical field of power transmission and transformation equipment, in particular to a multi-parameter insulation state evaluation method, system and equipment for a capacitive voltage transformer. Background technique [0002] With the development of the economy, the proportion of the development of the electric power industry in the construction of the national economy has become increasingly prominent. In order to accurately measure electric energy, the investment of power transformers is becoming more and more extensive. As one of the key equipment for data acquisition in the power grid, the role of the power transformer is very important. In recent years, the transmission capacity of my country's power system has continued to expand, the long-distance transmission capacity has increased rapidly, and the voltage level of the power grid has gradually increased. Compared with traditional electromagnetic voltage transfor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12
CPCG01R31/1227
Inventor 李福超刘苏婕罗睿希刘鹍史强王睿晗
Owner STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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