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Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

Author

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  • Muhammad Sulaiman
  • Ashfaq Ahmad
  • Asfandyar Khan
  • Shakoor Muhammad

Abstract

This paper presents the solution of directional overcurrent relay (DOCR) problems using Simulated Annealing based Symbiotic Organism Search (SASOS). The objective function of the problem is to minimize the sum of the operating times of all primary relays. The DOCR problem is nonlinear and highly constrained with two types of decision variables, namely, the time dial settings (TDS) and plug setting (PS). In this paper, three models of the problem are considered, the IEEE 3-bus, 4-bus, and 6-bus, respectively. We have applied SASOS to solve the problem and the obtained results are compared with other algorithms available in the literature.

Suggested Citation

  • Muhammad Sulaiman & Ashfaq Ahmad & Asfandyar Khan & Shakoor Muhammad, 2018. "Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays," Complexity, Hindawi, vol. 2018, pages 1-11, January.
    • Handle: RePEc:hin:complx:4605769
    DOI: 10.1155/2018/4605769
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    References listed on IDEAS

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    4. Zhang, Chao & Wei, Yi-Li & Cao, Peng-Fei & Lin, Meng-Chang, 2018. "Energy storage system: Current studies on batteries and power condition system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3091-3106.
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    Cited by:

    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.

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