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Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

Author

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  • Abdul Wadood

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea
    These authors contributed equally to this work and considered as co-first author.)

  • Tahir Khurshaid

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea
    These authors contributed equally to this work and considered as co-first author.)

  • Saeid Gholami Farkoush

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea)

  • Jiangtao Yu

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea)

  • Chang-Hwan Kim

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea)

  • Sang-Bong Rhee

    (Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongsangbuk-do 38541, Korea)

Abstract

In power systems protection, the optimal coordination of directional overcurrent relays (DOCRs) is of paramount importance. The coordination of DOCRs in a multi-loop power system is formulated as an optimization problem. The main objective of this paper is to develop the whale optimization algorithm (WOA) for the optimal coordination of DOCRs and minimize the sum of the operating times of all primary relays. The WOA is inspired by the bubble-net hunting strategy of humpback whales which leads toward global minima. The proposed algorithm has been applied to six IEEE test systems including the IEEE three-bus, eight-bus, nine-bus, 14-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed WOA are compared with those obtained by other up-to-date algorithms. The obtained results show the effectiveness of the proposed WOA to minimize the relay operating time for the optimal coordination of DOCRs.

Suggested Citation

  • Abdul Wadood & Tahir Khurshaid & Saeid Gholami Farkoush & Jiangtao Yu & Chang-Hwan Kim & Sang-Bong Rhee, 2019. "Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems," Energies, MDPI, vol. 12(12), pages 1-27, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2297-:d:240288
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    References listed on IDEAS

    as
    1. Abdul Wadood & Chang-Hwan Kim & Tahir Khurshiad & Saeid Gholami Farkoush & Sang-Bong Rhee, 2018. "Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method," Energies, MDPI, vol. 11(4), pages 1-20, April.
    2. Jiangtao Yu & Chang-Hwan Kim & Abdul Wadood & Tahir Khurshiad & Sang-Bong Rhee, 2018. "A Novel Multi-Population Based Chaotic JAYA Algorithm with Application in Solving Economic Load Dispatch Problems," Energies, MDPI, vol. 11(8), pages 1-25, July.
    3. Muhammad Sulaiman & Waseem & Shakoor Muhammad & Asfandyar Khan, 2018. "Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm," Complexity, Hindawi, vol. 2018, pages 1-15, February.
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    Cited by:

    1. Muhammad Irfan & Abdul Wadood & Tahir Khurshaid & Bakht Muhammad Khan & Ki-Chai Kim & Seung-Ryle Oh & Sang-Bong Rhee, 2021. "An Optimized Adaptive Protection Scheme for Numerical and Directional Overcurrent Relay Coordination Using Harris Hawk Optimization," Energies, MDPI, vol. 14(18), pages 1-21, September.
    2. Michele Rojnić & Rene Prenc & Hrvoje Bulat & Dubravko Franković, 2022. "A Comprehensive Assessment of Fundamental Overcurrent Relay Operation Optimization Function and Its Constraints," Energies, MDPI, vol. 15(4), pages 1-20, February.
    3. Thiramuni Sisitha Sameera Senarathna & Kullappu Thantrige Manjula Udayanga Hemapala, 2020. "Optimized Adaptive Overcurrent Protection Using Hybridized Nature-Inspired Algorithm and Clustering in Microgrids," Energies, MDPI, vol. 13(13), pages 1-23, June.
    4. Bakht Muhammad Khan & Abdul Wadood & Shahbaz Khan & Husan Ali & Tahir Khurshaid & Asim Iqbal & Ki Chai Kim, 2024. "Analysis of War Optimization Algorithm in a Multi-Loop Power System Based on Directional Overcurrent Relays," Energies, MDPI, vol. 17(22), pages 1-21, November.
    5. Abdelmonem Draz & Mahmoud M. Elkholy & Attia A. El-Fergany, 2023. "Automated Settings of Overcurrent Relays Considering Transformer Phase Shift and Distributed Generators Using Gorilla Troops Optimizer," Mathematics, MDPI, vol. 11(3), pages 1-25, February.
    6. Mahmoud Abdelsalam & Hatem Y. Diab, 2019. "Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm," Energies, MDPI, vol. 12(21), pages 1-16, October.
    7. Kashif Habib & Xinquan Lai & Abdul Wadood & Shahbaz Khan & Yuheng Wang & Siting Xu, 2022. "An Improved Technique of Hybridization of PSO for the Optimal Coordination of Directional Overcurrent Protection Relays of IEEE Bus System," Energies, MDPI, vol. 15(9), pages 1-17, April.

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