Recognition of Power Quality Disturbances Based on T-S Fuzzy Logic

One of the problems of current fuzzy recognition for power quality (PQ) disturbances is that the conclusion part of fuzzy rules is commonly fuzzy variable needing defuzzification, and the parameters of membership function are always determined by trial-and-error method. To solve this problem, this paper presents a new recognition method of power quality disturbances based on T-S fuzzy logic. On the basis of features extracted from disturbances by generalized S-transform (ST). The T-S fuzzy inference mechanism is proposed in this paper, of which equalized universe method is used to determine the membership function parameters and universe division. The Recognition results of simulation and experimental data show the effectiveness of the proposed method.