基于模糊逻辑的径向馈线电容优化配置

S. Kannan, A. Monica, S. Slochanal
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引用次数: 22

摘要

配电系统正变得越来越庞大和复杂,导致了更高的系统损耗和较差的电压调节。这就强调需要一个高效率和有效的分配网络。本文的主要目的是确定径向分布馈线中电容器的最佳位置,以改善电压分布并减少能量损失。采用模糊近似推理和粒子群优化技术分别求解电容器布局和尺寸问题。首先,采用合适的算法求解径向给料机的有效负荷流;采用模糊隶属度函数对配电系统节点的电压和实际损耗指标进行建模。然后,设计了一个包含启发式规则的模糊推理系统来确定配电系统中适合放置电容器的候选节点。电容器放置在灵敏度指数最高的节点上。利用所提出的开发方案对三个径向给料机进行了测试求解,并对结果进行了MATLAB仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Logic Based Optimal Capacitor Placement on Radial Distribution Feeders
Electric distribution systems are becoming large and complex leading to higher system losses and poor voltage regulation. This has stressed the need for an efficient and effective distribution network. The main objective of this paper work is to determine optimal location for capacitor placement in radial distribution feeders to improve the voltage profile and reduce the energy loss. This problem of capacitor placement is solved using fuzzy approximate reasoning and sizing is solved using particle swarm optimization technique. Firstly, an efficient load flow solution for the radial feeder is obtained by a suitable algorithm. Voltage and real power loss index of distribution system nodes are modeled by fuzzy membership function. Then, a fuzzy inference system containing a set of heuristic rules is designed to determine candidate nodes suitable for capacitor placement in the distribution system. Capacitors are placed on the nodes with highest sensitivity index. Three test radial feeders are solved using the proposed development to illustrate the technique and results simulated from MATLAB.
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