Title: Tracking of non-stationary distorted power signals using complex H_∞ filter

Authors: H.K. Sahoo, P.K. Dash

Addresses: Department of Electronics and Telecommunication Engineering, Silicon Institute of Technology, Bhubaneswar 751024, Orissa, India. ' Department of Electronics and Telecommunication Engineering, Silicon Institute of Technology, Bhubaneswar 751024, Orissa, India

Abstract: The present study proposes a novel method of tracking the time-varying frequency and amplitude of a distorted power signal using a complex H_∞ filter. A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and phase of different harmonics are also estimated which shows the robustness of the filter. The performance of complex H_∞ filter has been compared with those of extended complex Kalman filter (ECKF) considering signals, which can represent worst case measurement and network conditions in a typical power system. State space representation with three states is used for estimation of amplitude and frequency in presence of white noise. Results of simulation demonstrate that under identical conditions, the performance of complex H_∞ filter is better compared to ECKF.

Keywords: distorted signals; power signals; complex H-infinity filter; frequency estimation; additive white Gaussian noise; ECKF; extended complex Kalman filter; time-varying frequency; amplitude; power quality disturbances; white noise.

DOI: 10.1504/IJAAC.2011.037378

International Journal of Automation and Control, 2011 Vol.5 No.1, pp.22 - 43

Published online: 17 Apr 2015 *

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