Maximization of annual savings by using fuzzy-Second order PSO based optimal capacitor placement in RDF for constant load

M. Prasanna, T. Balaji, S. Kannan
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引用次数: 4

Abstract

A new method of Second order PSO for a more effective capacitor sizing in radial distribution feeders to reduce the real power loss and to improve the voltage profile is proposed. The location of the nodes where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system and the sizing of the capacitors is modeled by the objective function to obtain maximum savings using Particle Swarm Optimization (PSO). The newer upgrade to PSO enables the problem to use the knowledge of past solutions into present sizing and hence a second level of optimization procedure to provide better results. A case study with an existing 15-bus radial distribution feeder is presented to illustrate the applicability of the newer algorithm.
基于模糊-二阶粒子群算法的恒负载RDF电容器优化配置的年节约最大化
提出了一种新的二阶粒子群优化方法,使径向分布馈线的电容尺寸更有效,以降低实际功率损耗,改善电压分布。利用模糊专家系统给出的一组规则确定电容器节点的位置,并利用粒子群优化(PSO)的目标函数对电容器的尺寸进行建模,以获得最大的节省。PSO的更新升级使问题能够使用过去解决方案的知识到当前的尺寸,因此第二级优化过程可以提供更好的结果。以现有的15总线径向馈线为例,说明了新算法的适用性。
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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