基于改进遗传算法的接地网优化设计  

Optimal Design of Grounding Grid Based on Improved Genetic Algorithm

作　　者：吴广宁[1] 付龙海[1] 王颢[2] 李晋[2] 

机构地区：[1]西南交通大学电气工程学院,四川成都610031 [2]铁道第一勘察设计院电气化处,陕西西安710063

出　　处：《西南交通大学学报》2007年第2期169-174,共6页Journal of Southwest Jiaotong University

基　　金：铁道部科技开发项目(2001J005-2);铁道部科技研究开发计划课题(2003J008-C)

摘　　要：为减少接地网均压导体数量和提高均压效果,根据短路时地表电压分布建立了接地网不等间距均压带优化布置的数学模型．优化计算采用改进的遗传算法．介绍了青藏铁路牵引变电所接地网的仿真计算．结果表明,该方法可在满足安全电压的条件下,得到接地网不等间距均压带布置形式．与传统的等间距布置形式相比,可以减少近50％的施工量．To decrease earth surface potential gradients optimization method was proposed, and an optimization and minimize the length of grid conductors, an model for grounding grids was presented. An improved genetic algorithm （GA） was applied to optimize the model, in which the fitness function, crossover and mutation probability were improved. This method was applied to the design of the grounding grid at traction substations of the Qinghai to Tibet railway. Simulation results show that this method can get optimal unequal-spaced grounding grids that conform to the safety voltage specifications with the quantity of construction reduced up to 50%.

关 键 词：接地网 不等间距 遗传算法 优化设计 牵引变电所 

分 类 号：TM862[电气工程—高电压与绝缘技术]