Optimal Design of Low Voltage Distribution Networks Using a PSO-PRIM Algorithm

J. Avilés, O. Erives, O. Micheloud
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引用次数: 2

Abstract

A particle swarm optimization technique (PSO) combined with a greedy algorithm (PRIM) is proposed to design low voltage distribution networks (LVDNs), from scratch. The approach is able to construct a radial network using the GPS coordinates of the utility poles, furthermore, it can also find the optimal placement for the distribution transformer (DT) and select the most suitable conductors for each branch. The evaluation of the distribution network is based on fuzzy rules, to obtain a satisfaction degree regarding the imposed constraints of the system, all this in order to minimize voltage deviation (VD) and quality issues (QI). Finally, several tests have been made in four real LVDNs, where the effectiveness of the proposed algorithm to design them has been proved.
基于PSO-PRIM算法的低压配电网优化设计
提出了一种结合贪心算法(PRIM)的粒子群优化技术(PSO)来从零开始设计低压配电网。该方法能够利用电线杆的GPS坐标构造径向网络,还能找到配电变压器的最佳位置,并为每个支路选择最合适的导线。配电网的评价是基于模糊规则,对系统所施加的约束条件获得一个满意的程度,所有这些都是为了最小化电压偏差(VD)和质量问题(QI)。最后,在4个实际lvdn中进行了测试,验证了所提算法设计lvdn的有效性。
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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