TITLE:
Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination
AUTHORS:
N. M. Stenane, K. A. Folly
KEYWORDS:
Evolutionary Algorithms, GA, Learning Rate, Optimal Relay Coordination, PBIL
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.9,
July
11,
2014
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.