Method for predicting service life of transformer by using multiple parameters

A technology for life prediction and transformers, applied in biological neural network models, computer-aided design, design optimization/simulation, etc., can solve problems such as difficulty in transformer operation life, and achieve high prediction accuracy

Pending Publication Date: 2020-07-28
HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem in the prior art that it is difficult to evaluate the service life of transformers by using comprehensive information, and propose a transformer life prediction method using multiple parameters, which can be used for transformer life prediction and accurate replacement of transformers. Provide technical methods to ensure the healthy operation of transformers

Method used

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  • Method for predicting service life of transformer by using multiple parameters
  • Method for predicting service life of transformer by using multiple parameters
  • Method for predicting service life of transformer by using multiple parameters

Examples

Experimental program
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Embodiment

[0049] Example: such as figure 1 As shown, a flow chart of a multi-parameter transformer life prediction method, the specific steps are as follows:

[0050] S1. Using the transformer state data to evaluate the state of the transformer.

[0051] S11, such as figure 2 As shown, the transformer status data is composed of transformer electrical test item data, dissolved gas analysis data in oil, transformer oil characteristic data and working condition data, specifically: electrical test item data includes insulation resistance, absorption ratio, leakage current, DC resistance Balance coefficient; analysis data of dissolved gas in oil are hydrogen, methane, ethane, ethylene, acetylene, carbon monoxide, carbon dioxide; transformer oil characteristic data are water content, acid value, breakdown voltage, oil dielectric loss; working condition data are transformer Load rate and transformer operating environment level; recorded as a state vector:

[0052] Y=(y 1 ,y 2 ,...,y i ,...

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Abstract

The invention discloses a method for predicting the service life of a transformer by using multiple parameters. The method comprises the following steps of S1, performing state evaluation on the transformer by using state data of the transformer; S2, constructing an evaluation database by utilizing the historical data of the transformer and the retirement data of the same type of transformer; andS3, predicting the transformer evaluation parameters by using an Elman network prediction method to obtain a predicted residual life. The transformer state data comprises transformer electrical test project data, analysis data of dissolved gas in oil, transformer oil characteristic data and working condition data, wherein the analysis data of the dissolved gas in the oil comprises hydrogen, methane, ethane, ethylene, acetylene, carbon monoxide and carbon dioxide, the transformer oil characteristic data comprises micro-water content, acid value, breakdown voltage and oil dielectric loss. The method can be used for predicting the service life of the transformer, accurately replacing the transformer and guaranteeing healthy operation of the transformer.

Description

technical field [0001] The invention relates to the field of life prediction of power transmission and transformation equipment, in particular to a multi-parameter transformer life prediction method. Background technique [0002] In order to meet the needs of my country's economic development, the power system has been continuously developed and the technical level has been continuously improved. Power transformer is an important electrical equipment in power system, which plays a key role in power generation, transmission and distribution. [0003] It is necessary to ensure the healthy operation of the transformer. The healthy operation life of the transformer is related to many factors, and the internal insulation is one of the most important factors. Transformer life assessment is a complex technical problem. It is necessary to study the aging mechanism of transformer internal insulation, conduct on-site non-destructive detection and judgment of transformer aging degree,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06F119/04
CPCG06N3/045
Inventor 吴国强管敏渊姚建锋李浩言杜赟曹力力王新伟赵崇娟干强王勇章飞段博涛
Owner HUZHOU ELECTRIC POWER SUPPLY CO OF STATE GRID ZHEJIANG ELECTRIC POWER CO LTD
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