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Maximum loss reduction by an improved reconfiguration method and capacitor placement

机译:通过改进的重新配置方法和电容器放置来减少最大损耗

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Network reconfiguration and capacitor placement have been widely employed to reduce power losses and to maintain voltage profiles within permissible limits in distribution systems. Reconfiguration method that is employed in this paper is based on an improved simple branch exchange method of single loop that is performed in a previous work. In this paper a joint optimization algorithm is proposed for combining this improved method of reconfiguration and capacitor placement, therefore maximum loss reduction is obtained. Discrete Genetic algorithm is used to optimize the location and size of capacitors and the sequence of loops selecting, in fact the capacitors size have been considered as discrete variables. The proposed algorithm is effectively tested on a real life 77-bus distribution system.
机译:网络重新配置和电容器放置已被广泛用于降低功率损耗并在分配系统中的允许极限内保持电压型材。本文采用的重新配置方法基于在先前工作中执行的单循环的改进的简单分支交换方法。本文提出了一种联合优化算法,用于组合这种改进的重新配置和电容器放置方法,因此获得了最大损耗。离散遗传算法用于优化电容器的位置和尺寸和选择的环路序列,实际上,电容器大小被认为是离散变量。在现实寿命77总线分配系统上有效地测试了所提出的算法。

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