摘要
为研究雷击电力杆塔时,杆塔对于邻近处天然气管道的影响及防护措施,采用专业防雷计算软件CDEGS建立电力线路与天然气管道模型,研究在不同电流幅值、土壤电阻率、距离等影响因素条件下,单根外延射线接地网迫近、背离、平行3种结构对管道电位的影响,进而提出基于迫向换流的管道过电压优化方案。结果表明:土壤电阻率、电流幅值的增加会导致管道过电压的升高,增加杆塔与管道间距可以减低管道过电压,随着外延射线改向角度的增大,管道上过电压、涂层所承受电势差呈现降低趋势。新建的迫向换流优化方案可明显降低电力线路对邻近天然气管道的雷击过电压风险。
In order to study the influence of electrical power towers on the nearby natural gas pipelines and the protective measures when lightning strikes power towers,a power line and natural gas pipeline model was established with the professional lightning protection calculation software CDEGS,and the influence of grounding grid with a single approaching,departing and parallel epitaxial ray on the potential of pipelines was studied under different influencing conditions of current amplitude,soil resistivity and distance.Further,a pipeline overvoltage optimization scheme based on the forced commutation was proposed.The results show that,the increase of soil resistivity and current amplitude will lead to the increase of pipeline overvoltage,and increasing the distance between the power tower and the pipeline can reduce the pipeline overvoltage.With the increase of the redirection angle of the epitaxial rays,the overvoltage on the pipeline and the potential difference suffered by the coating show a decreasing trend.Generally,the forced commutation based optimization scheme proposed herein could significantly mitigate the lightning overvoltage risk of power lines to the adjacent natural gas pipelines.
作者
刘乐
胡元潮
李勋
姜志鹏
安韵竹
吕启深
LIU Le;HU Yuanchao;LI Xun;JIANG Zhipeng;AN Yunzhu;LYU Qishen(Electrical and Electronic Engineering College,Shandong University of Technology;Shenzhen Power Supply Co.Ltd.;Ezhou Power Supply Company,State Grid Hubei Power Supply Limited Company)
出处
《油气储运》
CAS
北大核心
2021年第6期708-714,共7页
Oil & Gas Storage and Transportation
基金
国家自然科学基金资助项目“空气间隙冲击火花放电路径动态特性研究”,51807113
山东省自然科学基金资助项目“平面复合降阻材料降阻机理及接地应用技术研究”,ZR2016EEQ20。
关键词
天然气管道
杆塔接地网
雷击过电压
迫向换流
结构优化
natural gas pipeline
grounding grid of power tower
lightning overvoltage
forced commutation
structural optimization
