Application of Evolutionary Algorithm for Optimal Directional Overcurrent Relay Coordination

• 作者: K. A. Folly N. M. Stenane
• 来源期刊: 电脑和通信(英文)
• 学科: 数学
• 关键词: EVOLUTIONARY ALGORITHMS GA Learning Rate OPTIMAL RELAY COORDINATION PBIL
• 年，卷（期）: 2014,（9）
• 页码范围: 103-111
• 页数: 9页
• 分类号: O1

摘要

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.