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Multiobjective Planning of Open-loop MV Distribution Networks Using ComGIS Network Analysis and MOGA

机译:使用ComGIS网络分析和MOGA的开环MV配电网多目标规划

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In this paper, an advanced method for the planning of open-loop medium voltage (MV) distribution network is proposed. The multiobjective planning model is constructed, and a special multiobjective genetic algorithm (MOGA) is designed based on the network dataset built by Component geographical information systems (ComGIS). The network analysis function of the ComGIS is embedded in the overall optimization process to find single-loop optimal paths. Crossover and mutation operator are designed according to characteristics of the coding. The evolutionary orientation is directed by the fitness function based on Pareto order of individuals. The Pareto optimal set (POS) including several candidate planning schemes is gotten through MOGA, from which the recommended scheme is selected. The method has been applied to real life power distribution networks, showing its potential in practical applications.
机译:本文提出了一种开环中压配电网规划的先进方法。构建了多目标规划模型,并基于组件地理信息系统(ComGIS)建立的网络数据集,设计了一种特殊的多目标遗传算法(MOGA)。 ComGIS的网络分析功能已嵌入到整个优化过程中,以查找单环最优路径。根据编码的特点设计了交叉和变异算子。进化方向由基于个人帕累托阶的适应度函数控制。通过MOGA获得包括几个候选计划方案的帕累托最优集(POS),从中选择推荐方案。该方法已应用于现实生活中的配电网络,显示了其在实际应用中的潜力。

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