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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10489
Title: Optimal Coordination of Overcurrent Relays Using Improved Leadership-Based Grey Wolf Optimizer
Authors: Gupta S.
Deep K.
Published in: Arabian Journal for Science and Engineering
Abstract: Coordination of overcurrent relays is a nonlinear and highly constrained optimization problem in a large distribution system where the operating time of all relays is to be minimized. Proper coordination of protective devices is a very crucial task for appropriate functioning of the electrical power system with distributed power generating stations. In order to solve this problem, various unconventional optimization techniques have been proposed. Random Walk Grey Wolf Optimizer (RW-GWO) is a recently developed algorithm based on improving the search ability of the leading wolves in classical GWO algorithm to overcome the issues of stagnation to local optima and premature convergence while solving nonlinear and complex optimization problems. Therefore, in the present work, RW-GWO algorithm is employed to find the optimal setting for directional overcurrent relay problem which is a highly complex problem. In the present paper, the results are also reported for classical GWO and the comparison is performed with several other optimization methods. The comparison of results demonstrates the strength of the RW-GWO in obtaining the optimal setting for the proper coordination of overcurrent relays as compared to other optimization methods. © 2019, King Fahd University of Petroleum & Minerals.
Citation: Arabian Journal for Science and Engineering (2019), (): -
URI: https://doi.org/10.1007/s13369-019-04025-z
http://repository.iitr.ac.in/handle/123456789/10489
Issue Date: 2019
Publisher: Springer Verlag
Keywords: Directional overcurrent relays
Meta-heuristic algorithms
Optimization
Random Walk Grey Wolf Optimizer
ISSN: 2193567X
Author Scopus IDs: 57209786185
8561208900
Author Affiliations: Gupta, S., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Funding Details: The first author is thankful to the Ministry of Human Resource Development (Grand No. MHR-02-41-113-429) Government of India for financial support in pursuing this research.
Corresponding Author: Gupta, S.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: g.shubh93@gmail.com
Appears in Collections:Journal Publications [MA]

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