Optimal selection of capacitors in distribution networks for voltage stabilization and loss reduction

A. Sharaf, A. El-Gammal
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引用次数: 4

Abstract

The paper presents a novel discrete optimization approach to optimally solve the sizing problem of capacitor for the voltage stability enhancement in radial distribution networks using Discrete Multi Objective Particle Swarm Optimization MOPSO technique. The novel optimization approach using Multi Objective Particle Swarm Optimization MOPSO is implemented to tackle a number of conflicting goals that define the complex optimality problem. The equivalent generic single-line system model (EGSLM) is applied. Multi-Objective Particle Swarm Optimization MOPSO is then carried out to find the optimal capacitor bank sizes that minimizes several conflicting objective functions.
配电网稳压降损电容器的优化选择
本文提出了一种新的离散优化方法,利用离散多目标粒子群优化(MOPSO)技术,对径向配电网中增强电压稳定性的电容器尺寸问题进行了优化求解。采用多目标粒子群优化(MOPSO)方法解决了复杂优化问题中存在的多个相互冲突的目标。采用等效通用单线系统模型(EGSLM)。然后采用多目标粒子群优化算法,求出使多个相互冲突的目标函数最小的最优电容器组尺寸。
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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