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

Author

Listed:
  • Muhammad Abdullah

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

  • Tahir N. Malik

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

  • Ali Ahmed

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

  • Muhammad F. Nadeem

    (Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila 47080, Pakistan
    Clean and Resilient Energy Systems (CARES) Research Lab., Texas A&M University, College Station, TX 77553, USA)

  • Irfan A. Khan

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

  • Rui Bo

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

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.

Suggested Citation

  • Muhammad Abdullah & Tahir N. Malik & Ali Ahmed & Muhammad F. Nadeem & Irfan A. Khan & Rui Bo, 2021. "A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment," Energies, MDPI, vol. 14(9), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2587-:d:547504
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    References listed on IDEAS

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    1. Yaqiong Li & Zhanfeng Deng & Tongxun Wang & Guoliang Zhao & Shengjun Zhou, 2018. "Coupled Harmonic Admittance Identification Based on Least Square Estimation," Energies, MDPI, vol. 11(10), pages 1-15, September.
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    Cited by:

    1. Abdul Haseeb & Umar Waleed & Muhammad Mansoor Ashraf & Faisal Siddiq & Muhammad Rafiq & Muhammad Shafique, 2023. "Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads," Energies, MDPI, vol. 16(2), pages 1-15, January.

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