基于蜻蜓算法的配电网效益最大化DG优化配置

M. C. V. Suresh, Edward J. Belwin
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引用次数: 9

摘要

分布式发电(DG)是一种小型发电厂,它连接到配电系统的用户,以改善电压分布,电压调节,稳定性,减少电力损耗和经济效益。上述好处可以通过dg的最佳放置来实现。本文采用一种新颖的自然启发算法蜻蜓算法来确定最优DG单元大小。它是根据自然界中蜻蜓的特殊行为而发展起来的。这个算法主要关注蜻蜓如何寻找食物或远离敌人。该算法在IEEE 15、33和69测试系统上进行了测试。并与其他进化算法进行了比较。与其他算法相比,蜻蜓算法的结果最好。在0.9 pf下操作的III型DG单元获得最佳结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
Distributed generation (DG) is small generating plants which are connected to consumers in distribution systems to improve the voltage profile, voltage regulation, stability, reduction in power losses and economic benefits. The above benefits can be achieved by optimal placement of DGs. A novel nature-inspired algorithm called Dragonfly algorithm is used to determine the optimal DG units size in this paper. It has been developed based on the peculiar behavior of dragonflies in nature. This algorithm mainly focused on the dragonflies how they look for food or away from enemies. The proposed algorithm is tested on IEEE 15, 33 and 69 test systems. The results obtained by the proposed algorithm are compared with other evolutionary algorithms. When compared with other algorithms the Dragonfly algorithm gives best results. Best results are obtained from type III DG unit operating at 0.9 pf.
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