基于图论方法的不平衡配电系统电容器布置

Sourav Mondal, M. De
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引用次数: 4

摘要

提出了一种基于图论中心性指数的不平衡配电系统电容器布置问题的求解方法。本文的目的是提出一种新的电容器组(CB)的优化布局方法,以最小化系统损耗和最大化UDS的净节约。采用粒子群算法确定最优CB尺寸。CB最优尺寸的目标函数由CB购买和安装成本和能量损失成本三个部分组成。在ieee13总线和ieee25总线的基准网络上进行了测试,并与基于功率损耗指数(PLI)的方法进行了比较。对两种方法所得结果进行了比较分析和讨论。比较了两种方法在降低测试系统的功率损耗、电压分布状态和净节约方面的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Graph Theoretic Approach Based Capacitor Placement in Unbalanced Distribution System
This paper presents a graph theoretic centrality index based methodology to solve capacitor placement problem for unbalanced distribution system (UDS). The aim of this paper is to present a new approach for optimal placement of capacitor bank (CB), to minimize system loss and maximize the net saving for UDS. Particle Swarm Optimization is used to determine the optimal size of CB. The objective function for optimal sizing of CB consists of three terms - cost associated with CB purchase and installation, and cost of energy loss. The proposed method was tested on benchmark networks (IEEE 13-bus, and 25 bus systems) and compared with power loss index (PLI) based method. The results obtained from both methods are comparatively analysed and discussed. The comparison of power loss reduction, status of voltage profile, and net saving are presented for both approaches for the test systems.
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