Title :
Harmonic parameter estimation of a power signal using FT-RLS algorithm
Author :
Singh, S.K. ; Goswami, Arup K. ; Sinha, N.
Author_Institution :
Electr. Eng. Dept., Nat. Inst. of Technol. Silchar, Silchar, India
Abstract :
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, phases and frequency in case of time varying power signals containing harmonics in the presence of White Gaussian Noise in MATLAB simulating environment. Also comparison results with two recently proposed algorithms such as Forgetting Factor Recursive Least Square (FF-RLS) and Recursive Least Square (RLS) are presented to show the effectiveness of the proposed FT-RLS algorithm.
Keywords :
AWGN; adaptive filters; amplitude estimation; frequency estimation; least mean squares methods; phase estimation; power supply quality; power system harmonics; recursive estimation; FT-RLS algorithm; adaptive filtering algorithm; amplitude estimation; fast transverse recursive least square; frequency estimation; phase estimation; power quality performance improvement; power signal harmonic parameter estimation; time varying power signals; white Gaussian noise; Estimation; Frequency estimation; Harmonic analysis; Noise; Power harmonic filters; Extended Least Mean Square (ELMS); Fast Transverse Recursive Least Square (FT-RLS); Forgetting Factor Recursive Least Square (FF-RLS); Least Mean Square (LMS); Recursive Least Square (RLS);
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on
Conference_Location :
Bucharest
DOI :
10.1109/ICHQP.2014.6842872