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An Optimized Adaptive Protection Scheme for Numerical and Directional Overcurrent Relay Coordination Using Harris Hawk Optimization

Author

Listed:
  • Muhammad Irfan

    (Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work and considered as first author.)

  • Abdul Wadood

    (Department of Electrical Engineering, Air University Islamabad, Kamra Campus, Kamra 43750, Pakistan)

  • Tahir Khurshaid

    (Department of Electrical Engineering, Yeungnam University, Gyeongsan 38541, Korea
    These authors contributed equally to this work and considered as first author.)

  • Bakht Muhammad Khan

    (Department of Electrical Engineering, Air University Islamabad, Kamra Campus, Kamra 43750, Pakistan)

  • Ki-Chai Kim

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

  • Seung-Ryle Oh

    (Korea Electric Power Company (KEPCO), Deajon 24056, Korea)

  • Sang-Bong Rhee

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

Abstract

The relay coordination problem is of dire importance as it is critical to isolate the faulty portion in a timely way and thus ensure electrical network security and reliability. Meanwhile a relay protection optimization problem is highly constraint and complicated problem to be addressed. To fulfill this purpose, Harris Hawk Optimization (HHO) is adapted to solve the optimization problem for Directional Over-current Relays (DOCRs) and numerical relays. As it is inspired by the intelligent and collegial chasing and preying behavior of hawks for capturing the prey, it shows quite an impressive result for finding the global optimum values. Two decision variables; Time Dial Settings (TDS) and Plug Settings (PS) are chosen as the decision variables for minimization of overall operating time of relays. The proposed algorithm is implemented on three IEEE test systems. In comparison to other state-of-the-art nature inspired and traditional algorithms, the results demonstrate the superiority of HHO.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5603-:d:630676
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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. David W. Sims & Emily J. Southall & Nicolas E. Humphries & Graeme C. Hays & Corey J. A. Bradshaw & Jonathan W. Pitchford & Alex James & Mohammed Z. Ahmed & Andrew S. Brierley & Mark A. Hindell & David, 2008. "Scaling laws of marine predator search behaviour," Nature, Nature, vol. 451(7182), pages 1098-1102, February.
    4. Nicolas E. Humphries & Nuno Queiroz & Jennifer R. M. Dyer & Nicolas G. Pade & Michael K. Musyl & Kurt M. Schaefer & Daniel W. Fuller & Juerg M. Brunnschweiler & Thomas K. Doyle & Jonathan D. R. Hought, 2010. "Environmental context explains Lévy and Brownian movement patterns of marine predators," Nature, Nature, vol. 465(7301), pages 1066-1069, June.
    5. Abdul Wadood & Saeid Gholami Farkoush & Tahir Khurshaid & Jiang-Tao Yu & Chang-Hwan Kim & Sang-Bong Rhee, 2019. "Application of the JAYA Algorithm in Solving the Problem of the Optimal Coordination of Overcurrent Relays in Single- and Multi-Loop Distribution Systems," Complexity, Hindawi, vol. 2019, pages 1-13, December.
    6. 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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    Cited by:

    1. 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.
    2. Tareq Foqha & Maher Khammash & Samer Alsadi & Osama Omari & Shady S. Refaat & Khaled Al-Qawasmi & Ali Elrashidi, 2023. "Optimal Coordination of Directional Overcurrent Relays Using Hybrid Firefly–Genetic Algorithm," Energies, MDPI, vol. 16(14), pages 1-28, July.
    3. Tahir Khurshaid & Abdul Wadood & Saeid Gholami Frakoush & Tae-Hwan Kim & Ki-Chai Kim & Sang-Bong Rhee, 2022. "Optimal Allocation of Directional Relay for Efficient Energy Optimization in a Radial Distribution System," Energies, MDPI, vol. 15(13), pages 1-17, June.
    4. Yuheng Wang & Kashif Habib & Abdul Wadood & Shahbaz Khan, 2023. "The Hybridization of PSO for the Optimal Coordination of Directional Overcurrent Protection Relays of the IEEE Bus System," Energies, MDPI, vol. 16(9), pages 1-21, April.

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