基于遗传算法的智能电能表配送路径优化研究与应用  

Research and Application on Distribution Routing Optimization for Intelligent Electric Meter Based on Genetic Algorithm

作　　者：田广[1] 罗蓬[2] 刘朋辉[1] 李铁成[2] Tian Guang Luo Peng Liu Penghui Li Tiecheng(State Grid Hebei Electric Power Company, Shijiazhuang 050021,China State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

机构地区：[1]国网河北省电力公司,石家庄050021 [2]国网河北省电力公司电力科学研究院,石家庄050021

出　　处：《河北电力技术》2017年第3期7-9,26,共4页Hebei Electric Power

摘　　要：针对省级计量中心超大规模智能电能表集中配送业务需求,提出一种基于遗传算法的智能电能表配送路径优化选择方法。以河北省南部电网二级库房配送路径规划应用为例,在车辆载容、电能表需求量、最大里程数等约束条件下,建立集中配送业务的规划路径数学模型,以配送成本最小化为目标,实现了配送路径的全局寻优,为省级计量中心建立经济高效的智能电能表配送方案提供了科学的依据,仿真实验的结果验证了该方法的有效性。To meet the demand of super large scale intelligent electric meter distribution of provincial metering center,a novel optimization selection method for intelligent electric meter distribution routing is proposed,which is based on genetic algorithm.With the application in subordinate warehouse path planning for southern Hebei network,under the restrained conditions for vehicle capacity,electric meter requirement and maximum mileage,mathematical model of distribution routing is constructed,then the global optimization of distribution path by minimizing the total cost,which providing a scientific basis for the establishment of economical and efficient distribution scheme.The simulation results verifies the efficiency of this method.

关 键 词：智能电能表 配送 遗传算法 路径优化 

分 类 号：TM763[电气工程—电力系统及自动化]