Harmonic estimator design using improved gazelle optimization algorithm by chaos for real field signal

Abstract

One of the most important issues affecting electrical power quality is the harmonics that occur in electrical signals. Harmonics cause many negative effects such as loss of electricity, overheating of devices, interference between equipment, and decreased system efficiency. Therefore, estimating the harmonics of signals is necessary for the power system quality. In this study, Gazelle Optimization Algorithm (GOA) improved with chaotic maps is proposed for the estimation of harmonic and sub/inter-harmonic signals. The performances of ten different chaos-based GOAs have been analyzed for 2 synthetic power signals and a time varying signal. Also, noisy (10 dB and 20 dB Signal to Noise Ratio (SNR)) and non-noisy cases of the signals have been considered. Moreover, the obtained performances have been examined both statistically and Wilcoxon Sign Rank Test (WSRT) method. Gauss/Mouse chaotic map based GOA (G/M GOA) has been given better results than other chaos-based methods and therefore it has been applied for the estimation of a real field signal. The amplitude, frequency and phase parameters of the signals have been estimated and the percentage error values of these parameters have been computed in all performed analyzes. From the obtained results for different cases, it is achieved that G/M GOA estimate the both synthetic and real harmonic and sub/inter-harmonic signal parameters with high accuracy.