Simulation Research on Transformer Pre-test High Voltage Electrical Insulation Parameters

Abstract

This article uses an image processing method to study the hydrophobicity of transformer composite insulators, and then determine the surface aging performance of transformer composite insulators. In order to meet the requirements of the randomness and ambiguity of the hydrophobic image, this paper uses a series of algorithms to process the hydrophobic image of the composite insulator: the enhancement of the hydrophobic image based on adaptive histogram equalization, the hydrophobic image based on wavelet transform Filtering and segmentation of the hydrophobic grade classification of composite insulators. Taking characteristic parameters such as the largest water droplet shape factor and area ratio as input, and the surface insulation aging performance of composite insulators as output, the relationship between insulation parameters and insulation aging performance is established. The simulation results show that the method can judge the surface insulation aging performance of composite insulators into three states: good, normal, and bad. Especially when the maximum water drop area ratio is input, the classification accuracy rate reaches 933%.