基于粒子群优化算法的配电网电容器优化配置与尺寸

G. Mendoza, V. M. Vacas, N. Ferreira
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引用次数: 8

摘要

提出了一种基于粒子群算法的配电网电容器最优配置和尺寸问题的求解方法。目标函数是最大限度地减少实际功率损耗、运行成本、固定成本,从而提高电压质量。本文采用了两种粒子群算法,第一种算法用于确定电容器的最优配置,第二种算法用于确定电容器的最优尺寸。该算法已在IEEE 34总线和IEEE 85总线径向配电系统上实现。这些负荷被认为是恒功率负荷。实验结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Capacitor Allocation and Sizing in Distribution Networks Using Particle Swarm Optimization Algorithm
This paper presents an algorithm based on Particle Swarm Optimization (PSO) methodology to solve optimal capacitors allocation and sizing problem in distribution networks. The objective function is to minimize real power losses, operating costs, fixed costs and, consequently, to improve voltage quality. In this paper, two PSO algorithms are used, the first to determine the optimal capacitors allocation and the second one for optimal capacitors sizing. This algorithm has been executed on IEEE 34-bus and IEEE 85-bus radial distribution systems. The loads are considered as constant power loads. Results demonstrate effectiveness of the proposed alternative procedure PSO based algorithm.
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