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A genetic algorithm approach determining simultaneously location and capacity distributed generation in radial distribution system

机译:一种遗传算法方法在径向分布系统中同时定位和容量分布生成

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Network reliability of distribution system is one of the key performance indices to be realized with many efforts. Installing Distribution Generation (DG) on radial distribution network closer to the customers is one of the efforts, which can improve the indices. This paper will present a GA method to determine the best location and capacity of DG placement with minimum power losses as an objective function to achieve optimum result. By DG placement in the network, except improve the voltage profile and power losses also the reliability indices such as SAIDI, SAIFI and EENS. Therefore the reliability will experience an improvement than before. For calculating and analyzing the reliability indices it uses ETAP 12.6 software which is separate analysis with determine the position and capacity optimization method. This concept will realize by simulating in the 132 bus radial distribution system and considering into two schemes, the base load scheme and full load scheme.
机译:分布系统的网络可靠性是用许多努力实现的关键性能指标之一。安装分发生成(DG)对客户的径向分布网络是努力的努力之一,可以改善索引。本文将介绍GA方法,以确定DG放置的最佳位置和容量,与最小功率损耗为目标函数以实现最佳结果。通过DG放置在网络中,除了改善电压曲线和功率损耗,也是如此的可靠性指数,如中,佐纱和Eens。因此,可靠性将经历比以前的改善。为了计算和分析可靠性指标,它使用ETAP 12.6软件,该软件与确定位置和容量优化方法单独分析。该概念将通过在132母线径向分配系统中模拟并考虑两种方案,基础负载方案和全负载方案来实现。

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