PowerSubstation equipment state evaluation method based on multi-physical-quantity fusion analysis transformation equipment state evaluation method and system based on multi-physical-quantity fusion analysis

Abstract

The invention discloses a substation equipment state evaluation method based on multi-physical-quantity fusion analysis. The substation equipment state evaluation method comprises the following steps:collecting a plurality of physical quantity signals representing the state of substation equipment by adopting a sensor; based on the historical data of each physical quantity signal, calculating theweight of each physical quantity signal when judging the state of the power transformation equipment by adopting a fuzzy analytic hierarchy process and an anti-entropy weight method to obtain a firstweight and a second weight; fusing the first weight and the second weight to obtain a fusion weight of each physical quantity signal; obtaining the relative degradation degree of each physical quantity signal based on each physical quantity signal to be detected at present and the respective corresponding standard value; converting each relative degradation degree into a fuzzy membership degree of each state of the power transformation equipment corresponding to each physical quantity signal to be detected at present; and based on the fuzzy membership degree and the fusion weight, obtaining the membership degree of the power transformation equipment to each state, and evaluating the state of the power transformation equipment according to the maximum membership degree principle.

Description

technical field [0001] The invention relates to an evaluation method and system, in particular to an evaluation method and system for power transformation equipment. Background technique [0002] As the hub of power transmission and conversion in power transmission and distribution, substation is of great significance to power system. At present, scholars at home and abroad have conducted in-depth research on the fault diagnosis and prediction technology of substation equipment, among which the research on the representative dissolved gas analysis technology (dissolved gas analysis, hereinafter referred to as DGA) is relatively mature. It is widely used in evaluation. However, the existing DGA only uses the data of gas in oil, and does not take into account partial discharge, infrared thermal image, temperature and other parameters that can reflect the state of the transformer. Therefore, the evaluation of the state of the transformer is not comprehensive. In addition, if ...

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Problems solved by technology

However, the existing DGA only uses the data of gas in oil, and does not take into account partial discharge, infrared thermal image, temperature and other parameters that can reflect the state of the transformer. Therefore, the evaluation of the state of the transformer is not comprehensive.

In addition, if a single sensor fails in the field, the method of single data evaluation is prone to misjudgment, which is not conducive to the safe and stable operation of the power system.

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