Distribution system efficiency improvement by reconfiguration and capacitor placement using a modified particle swarm optimization algorithm

Pooya Rezaei, Mehdi Vakilian
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引用次数: 22

Abstract

Capacitor placement/setting is one of the main means for loss reduction and voltage profile improvement in distribution systems. If capacitor placement is meant, the objective function will be the cost of energy losses besides the capacitors costs in a specified period of time. Here, reconfiguration can be used as a strategy to reform the base configuration of the distribution network in order to place the capacitors more efficiently with lower costs. On the other hand, if capacitors are already available in a network, optimum capacitors setting and network reconfiguration should be performed for power loss minimization. In this paper both power loss minimization and capacitor placement cost minimization are implemented using a modified particle swarm optimization algorithm. PSO is a robust optimization algorithm inspired by social behavior. Several simulations are performed on two conventional sample distribution networks and compared against the results of existing methods which demonstrated the advantage of this method.
基于改进粒子群优化算法的配电系统重构和电容器配置效率提高
电容器的放置/设置是配电系统中减少损耗和改善电压分布的主要手段之一。如果考虑电容器的放置,目标函数将是在指定时间内电容器成本之外的能量损失成本。在这里,重新配置可以作为一种策略来改革配电网的基本配置,以便以更低的成本更有效地放置电容器。另一方面,如果网络中已经有可用的电容器,则应进行最佳电容器设置和网络重新配置,以最大限度地减少功率损失。本文采用改进的粒子群优化算法实现了功率损耗最小化和电容器放置成本最小化。粒子群算法是一种受社会行为启发的鲁棒优化算法。在两个传统的样本配电网上进行了仿真,并与现有方法的结果进行了比较,验证了该方法的优越性。
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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