A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment

Abdullah, Muhammad; Malik, Tahir N.; Ahmed, Ali; Nadeem, Muhammad F.; Khan, Irfan A.; Bo, Rui

doi:10.3390/en14092587

Open AccessArticle

A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment

by

Muhammad Abdullah

¹,

Tahir N. Malik

²,

Ali Ahmed

¹,

Muhammad F. Nadeem

^1,3,

Irfan A. Khan

^3,*

and

Rui Bo

⁴

¹

Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila 47080, Pakistan

²

Department of Electrical Engineering, HITEC University Taxila, Taxila 47080, Pakistan

³

Clean and Resilient Energy Systems (CARES) Research Lab., Texas A&M University, College Station, TX 77553, USA

⁴

Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA

^*

Author to whom correspondence should be addressed.

Energies 2021, 14(9), 2587; https://doi.org/10.3390/en14092587

Submission received: 12 March 2021 / Revised: 22 April 2021 / Accepted: 23 April 2021 / Published: 1 May 2021

(This article belongs to the Special Issue Application of Power Electronics Converters in Smart Grids and Renewable Energy Systems)

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Abstract

The power quality of the Electrical Power System (EPS) is greatly affected by electrical harmonics. Hence, accurate and proper estimation of electrical harmonics is essential to design appropriate filters for mitigation of harmonics and their associated effects on the power quality of EPS. This paper presents a novel statistical (Least Square) and meta-heuristic (Grey wolf optimizer) based hybrid technique for accurate detection and estimation of electrical harmonics with minimum computational time. The non-linear part (phase and frequency) of harmonics is estimated using GWO, while the linear part (amplitude) is estimated using the LS method. Furthermore, harmonics having transients are also estimated using proposed harmonic estimators. The effectiveness of the proposed harmonic estimator is evaluated using various case studies. Comparing the proposed approach with other harmonic estimation techniques demonstrates that it has a minimum mean square error with less complexity and better computational efficiency.

Keywords: grey wolf optimizer; electrical harmonics; harmonic estimation; total harmonic distortion

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MDPI and ACS Style

Abdullah, M.; Malik, T.N.; Ahmed, A.; Nadeem, M.F.; Khan, I.A.; Bo, R. A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment. Energies 2021, 14, 2587. https://doi.org/10.3390/en14092587

AMA Style

Abdullah M, Malik TN, Ahmed A, Nadeem MF, Khan IA, Bo R. A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment. Energies. 2021; 14(9):2587. https://doi.org/10.3390/en14092587

Chicago/Turabian Style

Abdullah, Muhammad, Tahir N. Malik, Ali Ahmed, Muhammad F. Nadeem, Irfan A. Khan, and Rui Bo. 2021. "A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment" Energies 14, no. 9: 2587. https://doi.org/10.3390/en14092587

APA Style

Abdullah, M., Malik, T. N., Ahmed, A., Nadeem, M. F., Khan, I. A., & Bo, R. (2021). A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment. Energies, 14(9), 2587. https://doi.org/10.3390/en14092587

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A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment

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