传统、遗传算法和粒子群算法在农业配电系统中电容器最优配置的比较

K. Murthy, M. Raju, G. Rao
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引用次数: 14

摘要

电容器的配置是降低配电系统损耗和改善配电系统电压分布的重要方法之一。采用指数优化法、遗传算法和粒子群优化法求解径向均衡配电网中固定电容器的最优取值。该方法在安得拉邦东部配电公司配电网的一个区域进行了测试,并给出了结果。结果非常有希望。粒子群优化方法在电容器尺寸较小的情况下,能较好地降低有功功率损耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison between conventional, GA and PSO with respect to optimal capacitor placement in agricultural distribution system
Capacitor placement is one of the most important methods in loss reduction and improving the voltage profile of distribution systems. Index, GA and Particle Swarm Optimization methods are used for finding the optimal values of the fixed capacitors in the distribution networks with balanced loading for radial configuration. This methodology is tested on a region of the distribution network of the Andhra Pradesh Eastern Power Distribution Corporation and results are presented. Results are very promising. Particle Swarm Optimization gives better reduction in active power loss with lesser value of capacitor sizes than G.A. and Conventional methods.
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