期刊名称：International Journal of Computer Science & Applications
印刷版ISSN：0972-9038
出版年度：2007
卷号：IV
期号：III
页码：69-83
出版社：Technomathematics Research Foundation
摘要：Power system defensive islanding is an efficient way to avoid catastrophic wide area blackouts, such as the
2003 North American Blackout. Finding defensive islands of large-scale power systems is a combinatorial
explosion problem. Thus, it is very difficult to find an optimal solution, if it exists, within reasonable time
using analytical methods. This paper presents to utilize the computational efficiency property of binary
particle swarm optimization to find some efficient splitting solutions for large-scale power systems. The
solutions are optimized based on a fitness function considering the real power balance between generations
and loads in islands, the relative importance of customers, and the desired number of islands. Besides
providing information about the opening of transmission lines, the algorithm can also provide necessary load
shedding information. Furthermore, the algorithm can provide a number of candidate solutions in order to
select one satisfying the transmission system capacity constraint. Simulations with power systems of different
scales demonstrate the accuracy and effectiveness of the proposed algorithm.
关键词：power system islanding, splitting strategies, particle swarm optimization.
