Thangaraj, R., Pant, M. and Abraham, A. (2010) New Mutation Schemes for Differential Evolution Algorithm and Their Application to the Optimization of Directional Over-Current Relay Settings. Applied Mathematics and Computa- tion, 216, 532-544. http://dx.doi.org/10.1016/j.amc.2010.01.071

has been cited by the following article:

• 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.