A comparative approach of PSO and ABC algorithm for optimal positioning and capacity sizing of DG and Shunt Capacitor in a Distribution network using DLF algorithm

Ayan Kumar Tudu, Amrita Bhaumik
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引用次数: 2

Abstract

Placement and size optimization of Distributed Generation (DG) and shunt capacitors in a radial distribution networkhelps in minimizing system power loss and maintain appropriate system voltage .Of the numerous optimization methods available in the literature Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms are quite popular. An attempt has been made in this paper to compare the effectiveness of these two methods with the help of DLF algorithm to optimally place and size the DG and shunt capacitors in a radial distribution network. The required system data has been taken from the standard IEEE 69 bus radial distribution system. All computations were performed in MATLAB package.
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基于DLF算法的配电网DG和并联电容器最优定位和容量大小的PSO和ABC算法比较研究
在径向配电网中,分布式发电(DG)和并联电容器的放置和尺寸优化有助于减少系统功率损耗和保持适当的系统电压。在文献中可用的众多优化方法中,粒子群优化(PSO)和人工蜂群算法(ABC)很受欢迎。本文尝试用DLF算法比较这两种方法在径向配电网中DG和并联电容器的最佳位置和尺寸的有效性。所需的系统数据取自标准IEEE 69总线径向配电系统。所有计算均在MATLAB软件包中完成。
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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