基于粒子群算法的配电系统谐波重构

Laerty J. S. Damião, W. Zvietcovich, Francisco Baracho
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引用次数: 2

摘要

本文提出了一种新的启发式“粒子群优化”方法,用于解决存在非线性负荷的配电系统重构问题,其目标是使总谐波失真最小。所提出的方法是基于一群鸟在飞行中寻找食物时的行为。为了保证配电网径向大时的收敛性,采用了启发式规则,提高了算法的效率。该算法已应用于IEEE 33总线径向系统。结果表明,该方法能够有效地找到配电系统的最优拓扑结构,从而降低谐波失真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network reconfiguration in distribution systems to reduce harmonic distortion using Particle Swarm Optimization
A novel application of the meta-heuristic “Particle Swarm Optimization” is implemented in this work to solve the problem of reconfiguration of power distribution systems in the presence of non-linear loads with the objective of minimizing the total harmonic distortion. The proposed methodology is based on the behavior of a flock of birds when flying in search of food. In order to guarantee the convergence when the distribution power network is radial and large, a heuristic rule is deployed to improve the methodology efficiency. The developed algorithm was applied to the IEEE 33-bus radial system. The results demonstrate the efficiency of the proposed method to find the optimal topology of the distribution system to reduce harmonic distortion.
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