Unbalanced voltage sag correction with dynamic voltage restorer using particle swarm optimization

D. Kumar, S. Sasitharan, M. Mishra, B. K. Kumar
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引用次数: 3

Abstract

Voltage sag is a crucial power quality problem. Due to the asymmetry present in occurrence of sags, dealing with unbalanced voltage sag is more complicated. Along with the reduction in voltage magnitude, if phase-jump is accompanied in unbalanced voltage sag, it further complicates the compensation. Power electronic converter loads get seriously deteriorated due to the unbalance present either in magnitude or in phase-angle relationship present between all three phases. Apart from restoring magnitude of the load voltage to the required level, care has to be taken so that balance is maintained in the three phase network. But, taking into consideration the maximum voltage injection constraint of the dynamic voltage restorer (DVR), voltage injection has to be done in an efficient manner so as to find out the best scheme of DVR voltage injection. Particle swarm optimization (PSO) technique is used to find out the optimum configuration for various unbalanced voltage sags with phase-jumps. Numerical examples are included to illustrate the efficacy of the proposed algorithm.
基于粒子群优化的动态电压恢复器不平衡电压暂降校正
电压暂降是一个重要的电能质量问题。由于暂降发生的不对称性,处理不平衡电压暂降更为复杂。随着电压幅值的降低,如果在不平衡电压暂降中出现跳相,则使补偿更加复杂。电力电子变流器负荷由于三相之间的幅值或相角关系不平衡而严重恶化。除了将负载电压的大小恢复到所需的水平外,还必须注意在三相网络中保持平衡。但是,考虑到动态电压恢复器(DVR)的最大电压注入约束,必须有效地进行电压注入,从而找出DVR电压注入的最佳方案。采用粒子群优化技术对各种不平衡电压跌落进行了优化配置。算例说明了该算法的有效性。
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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