Solid insulation life prediction method based on transformer-related operation data

A technology of solid insulation and life prediction, applied in neural learning methods, electrical digital data processing, special data processing applications, etc., can solve the problems of insufficient precision and local optimum, achieve good application prospects, flexible training, and improve accuracy

Active Publication Date: 2019-08-02
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a widely used intelligent algorithm, the artificial neural network algorithm has been used in the life prediction of solid insulation, but it has the problems of insufficient accuracy and easy to fall into local optimum

Method used

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  • Solid insulation life prediction method based on transformer-related operation data
  • Solid insulation life prediction method based on transformer-related operation data
  • Solid insulation life prediction method based on transformer-related operation data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0019] Example: such as Figure 1-3 As shown, a solid insulation life prediction method based on transformer-related operating data, the method includes the following steps:

[0020] In step (1), the relevant data of transformer solid insulation life prediction are obtained and stored in the database. Data items include: main gas content of oil chromatography (including hydrogen, methane, ethane, ethylene, acetylene, etc.), various factors of transformer oil quality test (including acidity, breakdown voltage, micro water, dielectric loss), CO and CO in oil 2 Concentration, concentration of furfural in oil and years of operation, etc.;

[0021] Step (2), read the relevant information of transformer solid insulation life prediction from the database server, including CO and CO in oil 2 Concentration, concentration of furfural in oil and service life, and number all kinds of data. The specific data content, data type and data number are shown in Table 1.

[0022] Table 1 data...

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PUM

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Abstract

The invention discloses a solid insulation life prediction method based on transformer related operation data. The method comprises the following steps: 1) obtaining and storing transformer solid insulation life prediction related data; 2) reading related data for numbering; 3) preprocessing the data; 4) obtaining the closest distribution model by using a Monte Carlo method; 5) training the data by using the BP neural network to obtain a prediction model; 6) enabling the BP neural network to perform network initialization; 7) randomly selecting an adjusting parameter by adopting a Monte Carlomethod, and updating the loss function by adjusting a small amount of the parameter; and 8) updating the loss function of the solid insulation life prediction model through a Monte Carlo method to finally obtain life prediction of the line transformer solid insulation, thereby preventing the BP neural network from falling into the dilemma of a local minimum value, and meanwhile, having the advantages of simple structure and flexible training, and effectively improving the accuracy of transformer solid insulation evaluation.

Description

technical field [0001] The invention belongs to the technical field of power transformer solid insulation life prediction, and in particular relates to a solid insulation life prediction method based on transformer-related operating data. Background technique [0002] The power transformer is the most important equipment in the power system, and its operating status is directly related to the safe operation of the system. With the aging of power transformers and the reduction of remaining life, various faults will follow. Therefore, the prediction of the aging status and remaining life of the transformer can effectively prevent the occurrence of transformer faults, improve the service life of the equipment, and ensure the stability of the power system. [0003] The aging and remaining life of the transformer mainly depends on the aging of the solid insulation. As the aging degree of solid insulation deepens, the mechanical and electrical strength of its insulation will dec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04G06N3/08
CPCG06N3/084G06F30/20G06N3/045Y04S10/50
Inventor 姜龙李诗勇杨超施艳薛静汪德军张霖张丽娟杨俊秋吴冕之李俊文丁健谢荣斌靳斌申峻陈林刘波王瑞果袁文芳刘栖魏臻
Owner GUIZHOU POWER GRID CO LTD
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