使用GWO算法降低电能损耗的最佳DG布局

Sohail Ahmad Parah, M. Jamil
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引用次数: 0

摘要

被称为分布式发电机(DG)资源的小型发电机组能够通过配电馈线为家庭、企业和工业场所供电。通过将DG放置在最佳位置,我们可以减少功率损耗并升级电压分布。然而,由于它们安装在配电馈线中,因此dg的类型、尺寸和位置对其值有关键影响。然而,为了使电力系统从这样的安装中获得最大的收益,为DG选择正确的尺寸和位置是至关重要的。在本研究中,我们探讨了分布式发电(DG)的理想定位和规模,以降低配电网的损耗和改善电压分布。采用灰狼优化(GWO)算法确定DG的最优位置和大小。对IEEE 33总线配电系统进行了深入的研究。结果表明,实际功率损耗和无功功率损耗显著降低,电压分布得到改善。
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 power loss reduction using GWO algorithm
Small electric generating units known as distributed generators (DG) resources are capable of supplying homes, businesses, and industrial sites with electricity through distribution feeders. We can decrease power loss and upgrade the voltage profile by placing DG in the best possible location. However, because they were installed in distribution feeders, the types, sizes, and locations of DGs have a critical effect on their values. Yet, in order for the power system to maximise the gains from such an installation, it is crucial to choose the correct size and location for a DG. In this research, we investigate the ideal positioning and scale of distributed generation (DG) for lowering losses and enhancing voltage profile in distribution networks. The optimal position and size of the DG are determined using the Gray Wolf Optimization (GWO) algorithm. A thorough investigation of IEEE 33-bus distribution systems is conducted. The results show a significant decrease in real power loss, reactive power loss and voltage profile improvement.
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