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Analysis of War Optimization Algorithm in a Multi-Loop Power System Based on Directional Overcurrent Relays

Author

Listed:
  • Bakht Muhammad Khan

    (Department of Electrical Engineering, Aerospace and Aviation Campus Kamra, Air University, Islamabad 44000, Pakistan)

  • Abdul Wadood

    (Department of Electrical Engineering, Aerospace and Aviation Campus Kamra, Air University, Islamabad 44000, Pakistan
    Renewable Energy and Environmental Technology Center, University of Tabuk, Tabuk 47913, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia)

  • Shahbaz Khan

    (Department of Electrical Engineering, Aerospace and Aviation Campus Kamra, Air University, Islamabad 44000, Pakistan)

  • Husan Ali

    (Department of Electrical Engineering, Aerospace and Aviation Campus Kamra, Air University, Islamabad 44000, Pakistan)

  • Tahir Khurshaid

    (Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea)

  • Asim Iqbal

    (Department of Electrical Engineering, Aerospace and Aviation Campus Kamra, Air University, Islamabad 44000, Pakistan)

  • Ki Chai Kim

    (Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea)

Abstract

In electrical power systems, ensuring a reliable, precise, and efficient relay strategy is crucial for safe and trustworthy operation, especially in multi-loop distribution systems. Overcurrent relays (OCRs) have emerged as effective solutions for these challenges. This study focuses on optimizing the coordination of OCRs to minimize the overall operational time of main relays, thereby reducing power outages. The optimization problem is addressed by adjusting the time multiplier setting (TMS) using the War Strategy Optimization (WSO) algorithm, which efficiently solves this constrained problem. This algorithm mimics ancient warfare strategies of attack and defense to solve complex optimization problems efficiently. The results show that WSO provides superior performance in minimizing total operating time and achieving global optimum solutions with reduced computational effort, outperforming traditional optimization methods (i.e., SM, HPSO, GA, RTO, and JAYA). The proposed algorithm shows a net time gains of 7.77 s, 2.57 s, and 0.8484 s when compared to GA, RTO, and JAYA respectively. This robust protection coordination ensures better reliability and efficiency in multi-loop power systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5542-:d:1515124
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    References listed on IDEAS

    as
    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. 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.
    3. 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.
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