Cost–benefit analysis for optimal DG placement in distribution systems by using elephant herding optimization algorithm

C. Hari Prasad, K. Subbaramaiah, P. Sujatha
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引用次数: 4

Abstract

Distributed generations (DGs) are small generating plants which are connected to consumers in distribution systems to improve the voltage profile, stability improvement, reduction in power losses and economic benefits. The above benefits can be achieved by optimal placement of DGs. In this paper, a novel nature-inspired algorithm called elephant herding optimization algorithm is used to determine the optimal distributed generation size. It has been developed based on herding behaviour of elephant groups in nature. The proposed algorithm is tested on IEEE 15-, 33- and 69-bus test systems. The proposed algorithm with type III DG unit operating at 0.9 pf gives better results when compared with other methods in the literature.
基于象群优化算法的配电系统DG优化配置的成本效益分析
分布式发电(dg)是一种小型发电厂,它与配电系统中的用户连接,以改善电压分布,提高稳定性,减少功率损耗和经济效益。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——象群优化算法来确定最优分布式发电规模。它是根据自然界大象群的放牧行为发展起来的。该算法在IEEE 15、33和69总线测试系统上进行了测试。与文献中的其他方法相比,本文提出的算法在0.9 pf下运行III型DG单元,结果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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