Application of artificial bee colony-based optimization for fault section estimation in power systems

Shyh Jier Huang, Xian Zong Liu

研究成果: Article同行評審

46 引文 斯高帕斯(Scopus)

摘要

This paper presents an artificial bee colony algorithm to enhance the fault section estimation performance in power systems. Through mimicking the foraging behaviors of honeybee swarms, the algorithm owns exploitation and exploration procedures to constitute an effective near-optimal search mechanism. This proposed method excels at saving decision on external parameters such as crossover and mutation rates, facilitating the improvement of computation performance. Meanwhile, the method has added a random selection scheme to look for a new source, by which the probability of being trapped into local minimum can be largely reduced, hence serving as beneficial aids of grasping the faulted section more effectively. Through this proposed approach, it benefits the engineers to find the accurate fault section among voluminous alarms, and reduces the possibility of inaccurate diagnosis. To validate the effectiveness of the method, it has been tested on practical power systems with comparisons to published techniques.

原文English
頁(從 - 到)210-218
頁數9
期刊International Journal of Electrical Power and Energy Systems
44
發行號1
DOIs
出版狀態Published - 2013 一月

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

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