Working Paper Article Version 1 This version is not peer-reviewed

High Accuracy Power Quality Evaluation under Colored Noisy Condition by Filter Banked ESPRIT

Version 1 : Received: 10 October 2019 / Approved: 11 October 2019 / Online: 11 October 2019 (04:13:23 CEST)

How to cite: Santos, E.; Khosravy, M.; Lima, M.A.A.; Cerqueira, A.S.; Duque, C.A.; Yona, A. High Accuracy Power Quality Evaluation under Colored Noisy Condition by Filter Banked ESPRIT. Preprints 2019, 2019100126 Santos, E.; Khosravy, M.; Lima, M.A.A.; Cerqueira, A.S.; Duque, C.A.; Yona, A. High Accuracy Power Quality Evaluation under Colored Noisy Condition by Filter Banked ESPRIT. Preprints 2019, 2019100126

Abstract

Due to the highly increasing integration of renewable energy sources to the power grid as well appearance of the resultant colored noise, the exact evaluation of power quality gains significant importance. Estimation of signal parameters via rotational invariance technique (ESPRIT) has proved its high efficiency for measuring the harmonics and interharmonics in power systems. ESPRIT, as a parametric approach, possesses high resolution in the estimation of the components parameters as frequencies, amplitudes, phases, and exponential decays.. However, since ESPRIT suffers from the high computational effort, the filter banked ESPRIT (FB-ESPRIT) was suggested to mitigate its complexity. This manuscript evaluates the FB-ESPRIT compared to the ESPRIT and MUSIC techniques in terms of accuracy and robustness of the estimation while the colored noise corrupts the signal. Even though parametric techniques depend on the Gaussianity of contaminating noise to perform properly, FB-ESPRIT performs well in colored noise as its superiority to ESPRIT and MUSIC has been approved through simulation results under the noises of different colors and different SNR levels. Especially, under the high level of colored noise of 5dB SNR, the superiority of FB-ESPRIT is significant by a wide gap distance from the other estimators.

Subject Areas

power quality; spectrum estimation; ESPRIT; FB-ESPRIT; MUSIC; filter bank; colored noise

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