Transformer bushing state evaluation method

Abstract

The invention discloses a transformer bushing evaluation method, which fuses a plurality of indexes reflecting the state of a transformer bushing, comprehensively and comprehensively reflects the state of the bushing based on a fuzzy theory and a neural network algorithm, and introduces a variable weight and the neural network algorithm on the basis of fuzzy comprehensive evaluation. According tothe fuzzy control method, the limitation of conventional weight and the subjectivity of artificially determining the membership function are overcome, and the self-updating and self-adaption of the membership function are realized through neural network training, so that the fuzzy control has certain self-learning capability, and the evaluation result is more reliable.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a transformer bushing state evaluation method. Background technique [0002] The power transformer is one of the most important electrical equipment in the power system, and maintaining its normal operation is the basic guarantee for the reliable power supply of the entire system. At present, the status evaluation of the overall transformer can refer to the "Guidelines for the Status Evaluation of Oil-immersed Transformers". Experts and scholars at home and abroad have also proposed many evaluation methods based on mathematical theory and artificial intelligence algorithms. However, the power transformer itself is an extremely complex system, and there are many characteristic quantities representing the insulation state, and the state information is uncertain and fuzzy. It is very difficult to effectively and accurately evaluate the insulation state of the transformer as ...

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Problems solved by technology

At present, there is no standard or guideline that can be used to evaluate the state of the bushing alone, and there are few related studies, and the degree of attention is not high enough. The existing evaluation methods mainly use parameters such as dielectric loss and capacitance as evaluation factors, and the parameters are single , the algorithm is highly subjective and cannot objectively and comprehensively reflect the real state of the bushing

The evaluation methods based on cloud theory, kernel vector space model and other algorithms proposed by some scholars can only stay at the academic level due to the complexity of the algorithm, and are not suitable for practical engineering applications.

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