段雄英

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:女

毕业院校:华中科技大学

学位:博士

所在单位:电气工程学院

学科:电机与电器. 高电压与绝缘技术

办公地点:电力电子研究所405

联系方式:0411-84708919

电子邮箱:dxy@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Statistical analysis of switching overvoltages in UHV transmission lines with a controlled switching

点击次数:

论文类型:期刊论文

发表时间:2019-11-05

发表刊物:IET GENERATION TRANSMISSION & DISTRIBUTION

收录刊物:EI、SCIE

卷号:13

期号:21

页面范围:4998-5004

ISSN号:1751-8687

关键字:overvoltage protection; arcs (electric); power engineering computing; power transmission lines; electric breakdown; electric strength; circuit breakers; statistical analysis; switching overvoltages; UHV transmission lines; precisely controlled switching strategy; electric field variation; arc-extinguish chamber; RDDS; controlled closing; overvoltage simulations; ultrahigh voltage transmission line closing; prebreakdown instants; statistical analysis

摘要:The objective of this work is to present a more precisely controlled switching strategy to reduce overvoltages due to ultra-high voltage (UHV) transmission line closing. Essentially the switching strategy is to find a suitable circuit breaker (CB) optimal instant of closing. The electric field variation in the arc-extinguish chamber has great effect on rate of decrease of dielectric strength (RDDS), when calculating optimal instant of closing with pre-breakdown between the contacts. The relative value k of a CB is defined as the ratio of RDDS to the rate of voltage approaching the zero cross. In this calculation, the electric field E should be as a variation due to the uneven medium of SF6. Consequently equations were derived from calculating the pre-breakdown instants. The ATP model of controlled closing UHV transmission line was built for switching overvoltage simulations considering RDDS and mechanical dispersion. The simulation results show that switching overvoltages are more accurate and closer to reality when regarding the electric field E as a variation. Contrarily, assuming E as a constant will increase the risk of failure via controlled switching. Furthermore, the simulation results demonstrate that k value can change the effect of the mechanical dispersion on switching overvoltages.