基于改进粒子群优化的配电系统重构及电压分布优化

Firas M. F. Flaih, Lin Xiangning, S. Dawoud, M. A. Mohammed
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引用次数: 19

摘要

配电公司正在努力降低高实际损耗和管理不良的电压分布,因此减小功率损耗和改善电压分布是配电系统电气工程师面临的主要而重要的任务。为了实现这一目标,配电系统重构(DSR)是降低电力损耗和改善系统电压分布的关键和关键分析之一。本文采用改进粒子群优化算法(MPSO)求解在约束规则存在的情况下,以实际功率损耗最小为目标的DSR问题。为了证明该方法的适用性,在标准的IEEE 33总线系统上应用了MPSO算法,并与其他常用算法进行了比较。从试验的数值结果来看,实际功率损耗降低31%,系统平均电压提高2%,最低电压提高2.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution system reconfiguration for power loss minimization and voltage profile improvement using Modified particle swarm optimization
Distribution companies (DSCOs) are trying to reduce the high real loss and manage the poor voltage profile, so power loss minimization and voltage profile improvement are the main and important tasks to be faced by electrical engineers in the distribution system (DS). To achieve this goal, distribution system reconfiguration (DSR) is one of the greatest keys and vital analysis to reduce power loss and enhance system voltage profile. In this paper, Modified particle swarm optimization (MPSO) is used for solving the DSR with the objective of minimizing real power loss in the presence of a regular of some constraints. To prove the applicability of the proposed method, MPSO has been applied on operated example the standard IEEE 33-bus system and the results compared with the other popular algorithms. It observed from the numerical results of the test that the real power loss is reduced by 31%, the average system voltage enhanced by 2% and 2.5% improves the minimum voltage.
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