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.

中文翻译：

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通过使用大象群优化算法对配电系统中最佳DG布置进行成本效益分析

分布式发电设备（DG）是小型发电设备，在配电系统中与用户连接，以改善电压分布，提高稳定性，减少功率损耗并带来经济效益。通过优化DG的位置可以实现上述好处。在本文中，一种新颖的，受自然启发的算法称为象群优化算法，用于确定最佳的分布式发电规模。它是根据自然界中大象群体的放牧行为而开发的。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，该算法以0.9 pf的III型DG单元运行时，给出了更好的结果。