Power transformer risk assessment method based on fault tree

A technology for power transformers and risk assessment, which is applied in the field of risk assessment and can solve problems such as difficult implementation

Inactive Publication Date: 2014-01-08
STATE GRID CORP OF CHINA +2
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However, this method usually needs to establish a strict fu...

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  • Power transformer risk assessment method based on fault tree
  • Power transformer risk assessment method based on fault tree
  • Power transformer risk assessment method based on fault tree

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Embodiment Construction

[0044]In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0045] First, the fault tree for a given transformer

[0046] According to the statistical analysis of transformer faults and accidents, a fault tree of power transformers is given. The situation that threatens the safe operation of large transformers and needs to be repaired as soon as possible is regarded as the top fault. The intermediate faults that cause the top fault are divided according to the faults of the main components of the transformer. The transformer fault tree structure is as follows: figure 1 shown.

[0047] like figure 2 As shown, for the given fault tree above, the steps of the present invention are as follows.

[0048] The present invention is a power transformer risk assessment method based on fault tree, comprisin...

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Abstract

The invention provides a power transformer risk assessment method based on a fault tree. The power transformer risk assessment method comprises the following steps that 1) according to the given fault tree, fuzzy judgment matrixes R are built by using the fuzzy analytic hierarchy process; 2) according to the fuzzy judgment matrixes R, a constraint programming problem equation set is written out, wherein the severity weights omega i of various fault causes are obtained according to the constraint programming problem equation set, and the severity weights vector W satisfying the equation that W=[omega 1, omega 2,...omega n](T) is obtained; 3) according to the severity weights vector W, the optimal solution of the severity weight omega i enabling an adaptive value Z to be minimum is obtained; 4) the optimal solution of the severity weight omega i is substituted into the formula (4) to obtain the risk coefficients of the fault causes of a transformer. According to the power transformer risk assessment method, matrixes achieving fuzzy judgment consistency do not need to be built, and risk of the transformer can be assessed under the circumstance that the fuzzy judgment matrixes are not consistent; compared with the method in which the matrixes achieving fuzzy judgment consistency have to be built in the prior art, the power transformer risk assessment method is simple in algorithm, rapid and relatively high in precision.

Description

technical field [0001] The invention relates to a risk assessment method, in particular to a fault tree-based power transformer risk assessment method. Background technique [0002] Transformer is an important electrical equipment in the power system, and its operation is directly related to the safety and reliability of the power generation and power supply systems. It is called the heart of the power system. With the rapid development of the power grid, the failure of high-voltage and large-capacity transformers seriously threatens the safe operation of the entire power system. However, due to the diversity of power transformer faults and the fact that the causes of the faults are very complex and inconspicuous, it is quite difficult to accurately judge the reliability of power transformer operation. [0003] The risk assessment of power transformers is one of the key contents of the condition maintenance work of power equipment. From the research situation at home and ab...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 刘宏亮王昕潘瑾高骏岳国良范辉高树国赵军杜大全
Owner STATE GRID CORP OF CHINA
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