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Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm

An oil-immersed transformer and genetic algorithm technology, applied in the field of transformer fault diagnosis, can solve problems such as unobvious auras and difficult chromatogram predictions, and achieve the effects of concise method rules, convenient maintenance, and high accuracy

Active Publication Date: 2012-05-02
GUODIAN NANJING AUTOMATION
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Problems solved by technology

Once it happens, the light and heavy gas protection will act together, and the gas in the gas relay will be ignited. It is often called a sudden failure. The omen is not obvious, and the chromatogram is difficult to predict. Only the verification work after the failure

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  • Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm
  • Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm
  • Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0039] The oil-immersed transformer fault diagnosis method based on adaptive genetic algorithm of the present invention comprises the following steps:

[0040] 1. Establish fault rule learning model

[0041] Generally speaking, a genetic algorithm-based classification system includes the following three parts: execution subsystem, evaluation subsystem, and rule discovery subsystem. Its structural framework is as follows figure 1 Shown:

[0042] The executive subsystem is a subsystem that directly interacts with the environment at the bottom layer. It acts like an expert system based on production rules. Each rule is called a classifier. We can use decision trees, Bayesian classification, and n...

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Abstract

The invention discloses an oil-immersed transformer fault diagnosis method based on a self-adaptive genetic algorithm. The oil-immersed transformer fault diagnosis method comprises a subsystem execution step, a subsystem evaluation step and a rule discovery and optimization step. By analyzing and building the structure of a model system, a classifier superior to the existing classifier can be generated, so as to improve the overall system performance. On the basis of credit allocation, an excellent classifier rule is searched to prevent premature of the algorithm and obviate the trap of localoptimization. Due to the global searching characteristics of the genetic algorithm, the last fault rule searched by the system is the optimal rule, so that the transformer fault diagnosis method can achieve high accuracy in practical application. In addition, the method has simple and clear rule, is definite in determining the fault mechanism, and can provide great convenience for transformer equipment maintenance.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method, which belongs to the technical field of electric power. Background technique [0002] In the power system, the power transformer is responsible for the voltage change between the grids and the function of electric energy conversion, and is one of the most important equipment in the power system. On the one hand, the failure of the transformer during operation will cause damage or damage to the equipment itself, causing power outages to the users; on the other hand, it may also cause system accidents, which are even more harmful. With the continuous development of computer technology, intelligent technology and sensor technology, various intelligent fault diagnosis technologies have begun to be applied to the fault diagnosis of power transformers, becoming a convenient and effective means of transformer fault diagnosis. Using network technology to realize the technical supervision system, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
Inventor 李佑文包德梅罗存黄立均曹黎明
Owner GUODIAN NANJING AUTOMATION
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