Title: Harmonic estimation of distorted power system signals employing two hybrid strategies

Authors: Gayadhar Panda; Pravat Kumar Ray; Pratap Sekhar Puhan

Addresses: Department of Electrical and Electronics Engineering, NIT, Shillong-793003, Meghalaya, India ' Department of Electrical Engineering, NIT, Rourkela-759146, Odisha, India ' Department of Electrical Engineering, BIE&T, Bhadrak-756113, Odisha, India

Abstract: This paper deals with two hybrid strategies for harmonic estimation of distorted power system signal. Harmonics estimation for a signal distorted with additive noise is an important aspect while dealing with power quality. For this reason, the two proposed methods, Kalman filter-modified genetic algorithm (KF-modified GA) and Kalman filter-bacterial foraging optimisation (KF-BFO), are employed for promoting the efficiency in estimation of harmonics. Simulation results are presented and compared in order to exemplify the effectiveness and robustness of the proposed approach. Improvement in both convergences for solution as well as processing time is demonstrated from algorithm.

Keywords: harmonic estimation; bacterial foraging optimisation; BFO; Kalman filter; modified genetic algorithms; MGAs; distorted signals; power systems.

DOI: 10.1504/IJMIC.2014.063873

International Journal of Modelling, Identification and Control, 2014 Vol.22 No.1, pp.20 - 32

Published online: 27 Sep 2014 *

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