Abstract

Partial discharge is one of the main causes of transformer's insulation aging and damage, so the transformer partial discharge detection and diagnosis research has profound theoretical significance and wide practical value. According to the present status of the transformer partial discharge location and the problem of slow convergence speed and low precision of particle swarm optimization algorithm in the process of locating, the paper puts forward the improvement of traditional particle swarm optimization algorithm. The proposed improvement scheme is divided in two steps, firstly, limiting transformer partial discharge location area through the line intersection point, for the purpose of limiting the search scope of particle swarm optimization, and then optimizing search accuracy of particle swarm optimization algorithm; secondly, improving the inertia weight of traditional particle swarm algorithm, increasing its search speed and precision. Experiments show that the transformer partial discharge location based improved particle swarm algorithm is better than the traditional particle swarm optimization algorithm in search accuracy, which can be better applied in the transformer partial discharge location.

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