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安装避雷器后10 kV 配电线路的雷电感应过电压特性
引用本文:王希,王顺超,何金良,曾嵘.安装避雷器后10 kV 配电线路的雷电感应过电压特性[J].电网技术,2012(7):149-154.
作者姓名:王希  王顺超  何金良  曾嵘
作者单位:电力系统及发电设备控制和仿真国家重点实验室清华大学电机系,北京市海淀区100084
摘    要:安装避雷器是减少配电线路雷击故障的主要措施.采用时域有限差分(finite difference time domain,FDTD)算法求解多导体传输线场线耦合方程,重点研究安装避雷器的配电线路雷电感应过电压的波形特性和统计特性.对比分析了10 kV 配电线路在有/无避雷器,不同避雷器安装密度时感应过电压的波形和幅值.对不同避雷器安装密度时是否考虑直击雷的情况下线路最大感应过电压特征进行了分析,给出了安装避雷器后最大感应过电压概率分布、绝缘闪络率和闪络次数等统计结果,以及配电线路避雷器的推荐安装密度

关 键 词:时域有限差分  配电线路  绝缘子  避雷器  感应过电压  概率分布

Lightning Induced Overvoltage Characteristics of 10kV Overhead Distribution Lines With Surge Arresters
WANG Xi,WANG Shunchao,HE Jinliang,ZENG Rong.Lightning Induced Overvoltage Characteristics of 10kV Overhead Distribution Lines With Surge Arresters[J].Power System Technology,2012(7):149-154.
Authors:WANG Xi  WANG Shunchao  HE Jinliang  ZENG Rong
Affiliation:(State Key Lab of Control and Simulation of Power Systems and Generation Equipments(Dept.of Electrical Engineering,Tsinghua University),Haidian District,Beijing 100084,China)
Abstract:Surge arrester is widely used to decrease and avoid the flashovers of distribution lines caused by lightning strikes.An improved algorithm is proposed using the finite difference time domain algorithm(FDTD) to solve multi-conductor transmission line equation and taking insulator and arrester model into account.The paper focuses on the influence of arresters on lightning protection characteristics and statistical evaluation of lightning-induced voltage in 10 kV distribution power system.The statistical evaluation results of the maximum lightning-induced phase-ground voltage are presented,considering indirect and direct lightning strikes in the condition of different arrester installing density,the results include the probability distribution of peak value of induced voltage,the flashover percentage and number of flashovers per 100 km per year,and the recommended arrester installing density.
Keywords:finite difference time domain(FDTD)  distribution line  insulator  surge arrester  lightning-induced voltage  probability distribution
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