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

机译:基于PSO-PRIM算法的低压配电网优化设计

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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.
机译:提出了一种与贪婪算法(PRIM)相结合的粒子群优化技术(PSO),从头开始设计低压配电网(LVDN)。该方法能够使用电线杆的GPS坐标构建径向网络,此外,它还能找到配电变压器(DT)的最佳位置,并为每个分支选择最合适的导体。配电网络的评估基于模糊规则,以获得对系统施加的约束的满意程度,所有这些都是为了最小化电压偏差(VD)和质量问题(QI)。最后,在四个真实的LVDN中进行了几次测试,证明了所提出的算法设计它们的有效性。

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