摘要
受污闪、山火等因素影响,中性点接地高压输电线路易发生单相弧光高阻接地故障,但总体来讲现场获取的故障数据仍然严重不足,制约了弧光接地故障检测及保护技术的研究。人工弧光高阻接地故障实验成本较高,也难以普及应用。针对该问题,文中基于可直接表征电弧燃弧V-I特征的对数电弧模型,详细分析了该模型仿真数据和录波数据的差异性,针对该模型所表征出的电弧V-I特征未能反映实测录波数据中V-I相角差的问题,提出了一种对该模型仿真数据进行修正的数据处理算法,修正后的数据波形具有和真实录波V-I曲线更为接近的外特征,为后续弧光高阻接地故障的研究提供了数据支撑。
Due to the impacts of insulator flashover and mountain fire,the single-phase arc high-impedance grounding fault often occurs on the high-voltage transmission line with neutral point grounding.But up to now,only limited field fault data are available,which limits the correlative research of fault detection and protection.The experiment cost of artificial arc highimpedance grounding fault is high,so it is difficult to popularize the application.Based on the logarithmic arc model that can directly characterize the arcing V-I feature,this paper analyzes the difference between simulation data and record data.A data correction algorithm of the simulation model is proposed to solve the problem that the arcing V-I feature from the simulation model cannot reflect the difference between phase angles of V and I from the measured record data.The waveforms of corrected data have more similar external characteristics to the real record V Icurves,which provides data support for the follow-up study of arc high-impedance grounding fault.
作者
梁晨光
王宾
李凤婷
谢民
王海港
LIANG Chenguang;WANG Bin;LI Fengting;XIE Min;WANG Haigang(Department of Electrical Engineering,Xinjiang University,Urumqi 830046,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China;State Key Laboratory of Control and Simulation of Power System and Generation Equipments,Tsinghua University,Beijing 100084,China;Dispatching Center of State Grid Anhui Electric Power Co.Ltd.,Hefei 230061,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2019年第4期126-131,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51477084)
清华大学自主科研计划项目(2015THZ0)
国家重点研发计划智能电网技术与装备专项项目(2017YFB0902802)~~
关键词
输电线路
高阻接地故障
电弧动态模型
伸缩因子
数据修正
transmission line
high-impedance grounding fault
dynamic arc model
deformation factor
data correction