文章基本信息

标题：A Hybrid Rough Set Theory-PSO Technique for Solving of Non-convex Economic Load Dispatch
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作者：Amin Safari ; Davoud Moghaddam Sheibai
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：12
页码：283-298
DOI：10.14257/ijhit.2015.8.12.21
出版社：SERSC
摘要：This paper applies a novel hybrid rough set theory-particle swarm optimizer technique, namely rough particle swarm optimization (RPSO) algorithm, for solving non- convex economic load dispatch (NELD) problem. The RPSO algorithm is based on the notion of rough patterns that uses rough values defined with upper and lower intervals in which represent a set of values. This RPSO method is suggested to deal with the practical constraints such as valve point loading effect, generation limitation, ramp rate limits and prohibited operating zones in the NELD problems. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with classical PSO and crazy PSO algorithms. The results of this study reveal that the proposed approach is able to find appreciable NELD solutions than those of previous algorithms.
关键词：Rough Particle Swarm Optimization; Non-convex Economic Load ; Dispatch; Rough Set Theory; Valve Point Loading Effect