Title :
Estimation of power quality using Complex H∞ Filter
Author :
Sahoo, H.K. ; Dash, P.K. ; Rath, N.P. ; Kant, R.
Author_Institution :
Dept. of EN&TC, Silicon Inst. of Technol., Bhubaneswar, India
Abstract :
The present study proposes a novel method of tracking the time varying frequency and amplitude of a distorted power frequency 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 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 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 :
AWGN; distortion; power harmonic filters; power supply quality; state-space methods; additive white Gaussian noise; complex H∞ filter; distorted power frequency signal; distorted power signal; power quality disturbances; power quality estimation; power system; state space representation; time varying amplitude; time varying frequency; Amplitude estimation; Distortion measurement; Frequency estimation; Power harmonic filters; Power measurement; Power quality; Power system harmonics; Power system measurements; Power system simulation; Robustness; Additive White Gaussian Noise; Complex H∞ filter; Distorted signals; Frequency estimation;
Conference_Titel :
Power Systems, 2009. ICPS '09. International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-4330-7
Electronic_ISBN :
978-1-4244-4331-4
DOI :
10.1109/ICPWS.2009.5442696