A new approach to identification of transient power quality problems using linear combiners

Abstract

In this paper, we present a new approach to identify transient power quality disturbances using linear combiners and a fuzzy decision support system. The key idea underlying the approach is to obtain the amplitude and the slope of the peak fundamental component of a voltage waveform using adaptive linear combiners, along with nonlinear least mean squares (LMS) algorithm. Fuzzy logic is then used to identify the class to which the waveform belongs by a set of heuristic rules and an uncertainty index. Detailed digital simulation results involving various types of transient power quality disturbances are presented to prove the ability of the new approach in classifying these disturbances.