Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014Publisher:Scientific Research Publishing, Inc.Journal:Journal of Computer and Communications, volume 2, pages 103-111 (issn: 2327-5219, eissn: 2327-5227,

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Authors: N. M. Stenane; K. A. Folly;

doi: 10.4236/jcc.2014.29014

Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination

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Abstract

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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University of Cape Town
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