Title: Parameter estimation of non-stationary power signals using an advanced signal processing technique
Authors: Prashanta Kumar Nayak; Badrinarayan Sahu; Shashank Shekhar Pujari
Addresses: Synergy Institute of Engineering and Technology, Banamaliprasad, Dhenkanal, India ' Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, India ' SUIIT, Sambalpur University, Sambalpur, India
Abstract: In this paper, a new recursive adaptive filter based on a fast Gauss-Newton method has been proposed for the estimation of fundamental and harmonics for time-varying voltage and current signals in an electrical power network. The presented algorithm is based on the minimisation of a weighted forgetting factor-based error cost function by the use of recursive Gauss-Newton method. Further a Hessian matrix approximation is used to produce a fast recursive algorithm, which is immune to random noise, waveform distortion and increases the speed of convergence and accuracy. The algorithm models the typical time-varying signals and damped sinusoids and decaying dc components and the accompanied distortions due to harmonics and random noise in a manner that will be suitable for real-time harmonic estimation, which is a very important requirement in power quality analysis.
Keywords: non-stationary signals; time varying harmonics; Gauss-Newton filter; harmonic estimation; frequency estimation.
International Journal of Power and Energy Conversion, 2017 Vol.8 No.4, pp.372 - 390
Received: 29 Feb 2016
Accepted: 30 Mar 2016
Published online: 25 Sep 2017 *