Transformer winding parameter identification based on frequency response analysis using hybrid wavelet transform (WT) and simulated annealing algorithm (SA) and compare with genetic algorithm (GA)

Abstract

Frequency response analysis method is used for certain evaluating and monitoring of the winding displacement and deformation of transformer core to detect incipient faults. Frequency response analysis is based on the graphical analysis and comparison of the current measured transfer function with a base current. In this paper we use compound of haar wavelet transform and intelligent Simulated Anealing Algorithms (SA) and finally we compare the achieved parameters with Genetic Algorithm (GA).