Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination | Zendy

Ndabeni M. Stenane | Zendy; Komla A. Folly | Zendy

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Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination

Author(s) -

Ndabeni M. Stenane,

Komla A. Folly

Publication year - 2014

Publication title -

journal of computer and communications

Language(s) - English

Resource type - Journals

eISSN - 2327-5227

pISSN - 2327-5219

DOI - 10.4236/jcc.2014.29014

Subject(s) - overcurrent , relay , genetic algorithm , evolutionary algorithm , population , mathematical optimization , computer science , power (physics) , electric power system , engineering , algorithm , mathematics , current (fluid) , electrical engineering , physics , demography , quantum mechanics , sociology

In this paper, two Evolutionary Algorithms (EAs) i.e., an improved Genetic Algorithms (GAs) and Population Based Incremental Learning (PBIL) algorithm are applied for optimal coordination of directional overcurrent relays in an interconnected power system network. The problem of coordinating directional overcurrent relays is formulated as an optimization problem that is solved via the improved GAs and PBIL. The simulation results obtained using the improved GAs are compared with those obtained using PBIL. The results show that the improved GA proposed in this paper performs better than PBIL.

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