Particle Swarm Optimization Technique Used for Optimal Network Reconfiguration with Dispersed Generation

C. Nagarajan, D. Vinoth, M. Ajith, K. Barath, V. Dinakaran
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引用次数: 1

Abstract

Dispersed Generation and Network Reconfiguration have been generally engaged to maintain voltage level with permissible limit and decrease the energy losses in the Distribution Systems. In this article, a Particle Swarm Optimization (PSO) technique is developed and it is used to reduce the energy losses in Network Reconfiguration and Dispersed Generation placement. Different scenarios are used to analyze the performance of developed method. The proposed and designed technique is efficiently tested on IEEE 33-bus RDS (Radial Distribution System) with three various load models. The voltage summary in IEEE 33- buses is better when compared to other basic voltage profile.
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粒子群优化技术在分散生成网络重构中的应用
为了使配电系统的电压水平保持在允许范围内,降低电网的能量损失,分散式发电和电网重构一直是配电系统中常用的技术手段。本文提出了一种粒子群优化技术,并将其用于减少网络重构和分散代布局中的能量损失。采用不同的场景对所开发的方法进行了性能分析。在IEEE 33总线径向配电系统(RDS)上进行了三种不同负载模型的有效测试。与其他基本电压分布相比,IEEE 33总线的电压汇总更好。
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