摘要
为了均匀接地网地表面电位分布,提高地网运行安全水平,文中研究了地网导体按指数规律优化布置的方法,在双层土壤结构模型的基础上,建立最大接触电压值达到最小的目标函数,采用改进的遗传算法求解。遗传算法初始种群采用二进制编码,利用自适应算法计算交叉变异概率,最后寻优地网横向和纵向最佳压缩比,从而得到地网的最佳优化设计方案。仿真计算结果表明:与传统的等间距布置方法相比具有明显的均压效果,可显著降低最大接触电压,提高了地网运行的安全水平。
In order to equalize the electric potential distribution of the ground surface,and improve the safety level of the grounding grid,methods for optimal arrangement of conducts in the grounding grid according to exponential law are studied in this paper.Based on the double-layer soil structure,this paper builds a target function in order to make the maximum touch voltage reach a minimum value,and a modified genetic algorithm（GA）is applied to calculate the optimal comperession ratio.The initial population of GA adopts the binary-code,and the adaptive algorithm is used to calculate cross and mutation probability,finally the optimal layout of grounding grid is obtained with the best horizontal and vertical compression ratio calculated by GA.Simulation results show that the optimization method equalizes the potential distribution of the ground surface,decreases the maximum touch voltage remarkably and improves the safety level of grounding grid compared with the method of the traditional layout with equal spacing.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2010年第4期45-48,70,共5页
Proceedings of the CSU-EPSA
基金
湖南省科技计划项目(05FJ3008)
湖南省电力科研基金(20061001)
关键词
接地网
优化设计
压缩比
双层土壤
接触电压
遗传算法
grounding grid
optimal design
compression ratio
double-layer soil
touch voltage
genetic algorithm
