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首页> 外文期刊>Research journal of applied science, engineering and technology >Modified Particle Swarm Optimization for Solution of Reactive Power Dispatch
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Modified Particle Swarm Optimization for Solution of Reactive Power Dispatch

机译:改进的粒子群算法求解无功分配问题

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Reactive Power Dispatch (RPD) is a complex, non-continuous and it is famous and essential problem in the power system. The calculation of this problem is really part of optimal load flow calculations. In this study, two types of Particle Swarm Optimization (PSO) algorithm are utilize as an optimization tools to solve RPD problem in order to minimize real Power Loss (P_(Loss)) in the power system and keep voltage at all buses within acceptable limit. First type of PSO algorithm is Conventional PSO and the second type is utilize to improve the searching quality, also to decrease the time calculation and to enhance the convergence characteristic in the first type, it is called Modified PSO (MPSO). These types of PSO algorithm are tested on IEEE Node- 14, Node-30, Node-57 and Node-118 power systems to test their efficiency and ability in solving RPD problem in small and large power systems. The simulation results in four power systems show that the MPSO algorithm has a better performance in decreasing losses, decreasing time calculation and enhancement of voltage profile when compared to the Conventional PSO and other algorithms that reported in the literature.
机译:无功功率分配(RPD)是一个复杂,不连续的问题,是电力系统中著名且必不可少的问题。这个问题的计算实际上是最佳潮流计算的一部分。在这项研究中,两种类型的粒子群优化(PSO)算法被用作优化工具来解决RPD问题,以最大程度地降低电力系统中的实际功率损耗(P_(Loss))并将所有母线的电压保持在可接受的范围内。第一种类型的PSO算法是常规PSO,第二种类型是用于提高搜索质量,减少时间计算并增强收敛性的第一种类型,称为改进型PSO(MPSO)。这些类型的PSO算法已在IEEE Node-14,Node-30,Node-57和Node-118电力系统上进行了测试,以测试它们解决小型和大型电力系统中RPD问题的效率和能力。在四个电力系统中的仿真结果表明,与传统的PSO和文献中报道的其他算法相比,MPSO算法在减少损耗,减少时间计算和增强电压曲线方面具有更好的性能。

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