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Directional overcurrent relay coordination by means of genetic algorithms of Chu–Beasley
Author(s) -
IdarragaOspina Gina,
MesaQuintero Noe A.,
Valencia Jaime A.,
Cavazos Alberto,
Orduna Eduardo
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22597
Subject(s) - overcurrent , relay , genetic algorithm , protective relay , electric power system , power (physics) , function (biology) , algorithm , computer science , engineering , mathematical optimization , electrical engineering , mathematics , current (fluid) , machine learning , physics , quantum mechanics , evolutionary biology , biology
The problem of coordinating directional overcurrent relay is one of the most important in electrical power system planning and operation. In this paper, a new objective function, based on genetic algorithms of Chu–Beasley, to carry out an optimal coordination of directional overcurrent relay is presented. The characteristics of the genetic algorithms of Chu–Beasley and some modifications, having taken into account inherent constraints to the problem, were used in order to properly solve the problem. A case study including 11 nodes and 22 directional relays was conducted to validate the performance of the proposed technique. Finally, a methodology to obtain a directional overcurrent relay coordination is proposed, including an expert (human) criterion. Detailed results are presented and discussed. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.