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Open AccessArticle

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

1
Electrical Engineering Department, Federal University of Juiz de Fora, Juiz de Fora, MG 36036-900, Brazil
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Media Integrated Communication Lab, Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan
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Electrical Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(11), 1259; https://doi.org/10.3390/electronics8111259
Received: 10 October 2019 / Revised: 24 October 2019 / Accepted: 25 October 2019 / Published: 1 November 2019
(This article belongs to the Section Circuit and Signal Processing)
Due to the highly increasing integration of renewable energy sources with the power grid and their fluctuations, besides the recent growth of new power electronics equipment, the noise in power systems has become colored. The colored noise affects the methodologies for power quality parameters’ estimation, such as harmonic and interharmonic components. Estimation of signal parameters via rotational invariance techniques (ESPRIT) as a parametric technique with high resolution has proven its efficiency in the estimation of power signal components’ frequencies, amplitudes, and phases for quality analysis, under the assumption of white Gaussian noise. Since ESPRIT suffers from high computational effort, filter bank ESPRIT (FB-ESPRIT) was suggested for mitigation of the complexity. This manuscript suggests FB-ESPRIT as well for accurate and robust estimation of power signal components’ parameters in the presence of the colored noise. Even though the parametric techniques depend on the Gaussianity of contaminating noise to perform properly, FB-ESPRIT performs well in colored noise. The FB-ESPRIT superiority compared with the conventional ESPRIT and MUSIC techniques was demonstrated through many simulations runs on synthetic power signals with multiple harmonics, interharmonics, and subharmonic components in the presence of noises of different colors and different SNR levels. FB-ESPRIT had a significant efficiency superiority in power quality analysis with a wide gap distance from the other estimators, especially under the high level of colored noise. View Full-Text
Keywords: power quality; spectrum estimation; ESPRIT; FB-ESPRIT; MUSIC; filter bank; colored noise power quality; spectrum estimation; ESPRIT; FB-ESPRIT; MUSIC; filter bank; colored noise
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Santos, E.; Khosravy, M.; Lima, M.A.A.; Cerqueira, A.S.; Duque, C.A.; Yona, A. High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT. Electronics 2019, 8, 1259.

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