Transformer fault diagnosis method based on fuzzy Petri net

A technology for transformer faults and diagnosis methods, which is applied in the directions of instruments, measuring electrical variables, measuring devices, etc., can solve the problems of misjudged faults, missed judgments, and inability to judge, and achieves the effect of improving the accuracy rate

Active Publication Date: 2012-09-19
CHAOYANG POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +2
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Problems solved by technology

[0004] The purpose of the present invention is to provide a transformer fault diagnosis method based on fuzzy Petri nets, to solve the problems of missed judgment, misjudgment and some faults that cannot be judged in existing methods

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  • Transformer fault diagnosis method based on fuzzy Petri net
  • Transformer fault diagnosis method based on fuzzy Petri net
  • Transformer fault diagnosis method based on fuzzy Petri net

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Embodiment Construction

[0029] The steps of transformer fault diagnosis method based on fuzzy Petri net are as follows:

[0030] (1) Using fuzzy Petri nets to build a substation fault diagnosis model;

[0031] (2) adopt gas chromatography separation to obtain the gas concentration value in the transformer oil;

[0032] (3) Obtain the gas growth rate in the transformer oil by using the absolute gas production rate formula;

[0033] (4) The initial identification of the model is obtained by integrating the gas concentration value and gas production rate in the transformer oil;

[0034] (5) Use the substation fault diagnosis model to reason and analyze the substation fault diagnosis, and obtain the diagnosis results.

[0035] ∑={P,T,F,W,M 0} is used to build a substation fault diagnosis model, and its specific definition is as follows:

[0036] (1) P=Pi∪Po, where Pi={p1, p2, p3, p4, p5, p6, p7}, Pi is the premise place of each transition, respectively H 2 , C 2 h 2 , CO, CO 2 , CH 4 , C 2 h 4...

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Abstract

The invention relates to a transformer fault diagnosis method based on a fuzzy Petri net. The method comprises the steps of firstly, constructing a transformer fault diagnosis model by using the fuzzy Petri net; performing separation by using a gas chromatography to obtain a concentration value of gas in transformer oil; acquiring the increase speed of the gas in the transformer oil through a gas generation rate formula; an obtaining initial identification of a model through combination of the concentration value and the gas generation rate of the gas in the comprehensive transformer oil; and performing rational analysis of transformer fault diagnosis by using the transformer fault diagnosis model to obtain a diagnosis result. According to the transformer fault diagnosis method based on the fuzzy Petri net, weighted sum of values of values on input arcs of the processed transitional range of input places serve as the fault possibility, so that the problems such as missing determination, false determination and incapability of determination of transformer faults are solved, the possibility of each of faults is given quantitatively, and the diagnosis accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of automatic control systems, and in particular relates to a transformer fault diagnosis method. Background technique [0002] In the history of power system development, large-scale power outages caused by sudden accidents of power transformers or other electrical equipment not only bring inconvenience to people's lives, but also seriously hinder economic development. Therefore, the reliability of electrical equipment in the power system is of great significance to the safe operation of the entire power system in the case of continuous expansion of the power grid pattern and continuous growth of power transmission capacity. The power transformer is responsible for the power transformer in the power system, and it is one of the most important equipment in the power system. [0003] At present, in order to ensure the reliable operation of power transformers and avoid accidents, through fault detection, analy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R31/12G01N33/28
Inventor 穆永强李江林叶阳东李保福佘维李贞慕宗君邱俊宏孙振王广民
Owner CHAOYANG POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY
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