Fast transverse-RLS algorithm based power system harmonic estimation

The increasing use of power electronic devices during the last decades contribute to change the characteristics of voltage and current waveforms from ideal sinusoidal to non sinusoidal in power systems. Thus destroying the power quality completely that generates harmonics in the signal. Under these conditions advanced signal processing techniques are required for accurate estimation of harmonic parameters such as amplitude, phase and frequency. Thus accurate computation of these parameters is also a challenging problem in power system. Many algorithms have been proposed for harmonic estimation to improve the power quality performance but till today it is still a challenge for accurate estimation. In this paper an adaptive filtering algorithm called Fast Transverse Recursive Least Square (FT-RLS) is applied for the first time for estimating harmonic parameters. The algorithm has been considered to estimate the amplitudes and phases in case of time varying power signals containing harmonics in the presence of White Gaussian Noise in MATLAB simulating environment. Also comparison results with a recently proposed algorithm such as Recursive Least Square (RLS) are presented to show the effectiveness of the proposed FT-RLS algorithm.