高电压技术2017，Vol.43Issue(4)：1341-1347,7.DOI:10.13336/j.1003-6520.hve.20170328035
基于粒子群算法的变电站工频电场优化
Optimization for Substation Power Frequency Electric Field Distribution Based on Particle Swarm Optimization
摘要
Abstract
To reduce the level of power frequency electric field exposure that may bring hea1th risks to the substation staff,the layout of electric equipment in substation is optimized to reduce the strength of near-ground electric-field of electric equipment.A three-dimensional geometric model of 220 kV outdoor distribution equipment was built and the actual pow er frequency electric field distribution was simulated by the simulation software.The equipment region with high electric field level was selected as the region to be optimized.Then fitness function and limitations of the particle swarm optimization mathematical model applied to electric problem was raised.To reduce the external electric field distribution as the optimization goal,the overall optimization was calculated.Moreover,based on the results,the device location was finely tuned in order to reduce the high field strength distribution inside the area.The optimized electric field distribution was compared to the original distribution,and it was found that the fitness function value of the overall optimization was reduced by 83.4％,and the fitness function of the regional optimization reduced by 29.1％.Results show that using PSO to adjust equipment layout can reduce the current level of substation power frequency electric field exposure without the increasing of the construction cost.关键词
变电站/工频电场/布局/粒子群算法/优化Key words
substations/power frequency electric field/arrangement/PSO/optimization引用本文复制引用
金立军,薛飞,彭陈仡,刘坚钢,王竞如..基于粒子群算法的变电站工频电场优化[J].高电压技术,2017,43(4):1341-1347,7.基金项目
国家自然科学基金(51577135).Project supported by National Natural Science Foundation of China (51577135). （51577135）
