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基于混沌果蝇算法的不等间距接地网优化研究 被引量:3

Optimization of Unequal Spacing Grounding Grid Based on Chaotic Fruit Fly Optimization Algorithm
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摘要 传统的等间距接地网虽能满足接地电阻的要求,却会产生较高的接触电压和跨步电压,严重威胁运维检修人员的生命安全。为研究跨步电压更小的不等距接地网,针对传统果蝇算法(FOA)在寻优精度不足和容易陷入局部最优的缺点,引入混沌序列Logistic映射以改进果蝇算法早熟收敛的问题,提高其收敛精度和效率。为验证混沌果蝇算法(CFOA)性能,分别采用FOA,CFOA和传统数学拟合方式求解接地网最优压缩比,再运用电磁场暂态仿真软件ATP-EMTP分别建立小型不等间距接地网和等间距接地网模型,仿真其雷电暂态效应。仿真计算结果表明,CFOA优化算法得出的接触和跨步电压较FOA算法降低了1.4%和5.9%,且其比FOA算法收敛速度更快、求解更精准。 Although the traditional equal-pitch grounding grid can meet the requirements of grounding resistance,it will generate high contact voltage and step voltage,which will seriously threaten the life safety of operation and maintenance personnel.In order to study the unequal distance grounding grid with smaller step voltage,the traditional fruit fly algorithm(FOA)is introduced into the chaotic sequence Logistic map to improve the premature convergence of Drosophila algorithm.To improve its convergence accuracy and efficiency.In order to verify the performance of the chaotic fruit fly algorithm(CFOA)algorithm,the optimal compression ratio of the grounding grid is solved by FOA,CFOA and traditional mathematical fitting methods respectively.The electromagnetic field transient simulation software ATP-EMTP is used to establish small unequal spacing grounding grids and so on.The grounding grid model simulates its lightning transient effect.The calculation results show that the contact and step voltages obtained by the CFOA optimization algorithm are reduced by 1.4% and 5.9% compared with the FOA algorithm,and the contrast FOA algorithm converges faster and the solution is more accurate.
作者 时文峰 许历灵 吴章玮 蔡漪 SHI Wen-feng;XU Li-ling;WU Zhang-wei;CAI Yi(China Three Gorges University,Yichang 443000,China;Jinzhai County Power Supply Company,State Grid Anhui Electric Power Co.,Ltd.,Luan 237300,China)
出处 《电力学报》 2019年第5期490-497,共8页 Journal of Electric Power
关键词 不等间距接地网 ATP-EMTP 雷电暂态效应 混沌果蝇算法 unequal spacing grounding grid ATP-EMTP lightning transient effect chaotic fruit fly optimi-zation algorithm
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