首页 | 本学科首页   官方微博 | 高级检索  
     

台风及暴雨对电网故障率的时空影响
引用本文:吴勇军,薛禹胜,谢云云,王昊昊,段荣华,黄伟.台风及暴雨对电网故障率的时空影响[J].电力系统自动化,2016,40(2):20-29.
作者姓名:吴勇军  薛禹胜  谢云云  王昊昊  段荣华  黄伟
作者单位:南京理工大学自动化学院, 江苏省南京市 210094; 南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106,南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106,南京理工大学自动化学院, 江苏省南京市 210094; 南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106,南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106,云南电力调度控制中心, 云南省昆明市 650011,云南电力调度控制中心, 云南省昆明市 650011
基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB228204);国家自然科学基金重点项目(61533010);中泰合作基金项目(5151101161);云南电网公司科技项目(YDTZ-F2014-105)
摘    要:分析了台风及暴雨影响电力设备故障率的途径;指出停电防御系统为此应拓展采集的数据,包括宏观的天气预报信息及就地的气象数据;提出上述自然灾害中的电网故障率时空预警框架。根据气象信息,结合环境信息及地形地貌信息,预测台风及暴雨的时空演变趋势,并按地理特征修正,在线预报恶劣气象直接或通过山洪、滑坡和泥石流等次生灾害造成输电线断线、倒塔、闪络等故障率的改变。通过自然灾害与电力系统稳定分析模块的接口,将在线安全分析由针对不变的预想故障集改进为跟踪灾害动态修正的预想故障集,使停电防御系统对台风及暴雨灾害具备一定的预警及决策支持能力。

关 键 词:停电防御    自然灾害    台风灾害    暴雨灾害    微地形    故障率    在线评估    安全预警
收稿时间:2015/11/10 0:00:00
修稿时间:2015/12/10 0:00:00

Space-time Impact of Typhoon and Rainstorm on Power Grid Fault Probability
WU Yongjun,XUE Yusheng,XIE Yunyun,WANG Haohao,DUAN Ronghua and HUANG Wei.Space-time Impact of Typhoon and Rainstorm on Power Grid Fault Probability[J].Automation of Electric Power Systems,2016,40(2):20-29.
Authors:WU Yongjun  XUE Yusheng  XIE Yunyun  WANG Haohao  DUAN Ronghua and HUANG Wei
Affiliation:School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China,NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China,School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China,NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China,Yunnan Power Dispatching and Control Center, Kunming 650011, China and Yunnan Power Dispatching and Control Center, Kunming 650011, China
Abstract:The ways of electrical equipment fault probability influenced by typhoons and rainstorms are analyzed in detail. The scope of data acquisition of blackout defense system is expanded to macroscale meteorological forecast information as well as local meteorological data. A spatial-temporal early-warning method against these natural disasters is proposed. Firstly, according to the information of meteorology, environment, topography and geomorphology, the spatial-temporal evolution trends of typhoons and rainstorms can be predicted and modified. Then, the probability of faults such as broken lines, collapsed towers, flashover caused by adverse weather or derivative disasters such as landslide, debris flow and flood is forecasted on line. Through the module interface between natural disaster evaluation and power system stability analysis, the predictive fault set of online security analysis which was fixed can now be dynamically modified. Therefore, the blackout defense system against typhoon and rainstorm has definite ability of early warning and decision support. This work is supported by Special Fund of the National Basic Research Program of China (973 Program) (No. 2013CB228204), State Key Program of National Natural Science Foundation of China (No. 61533010), China-Thailand Cooperation Fund Project (No. 5151101161), and Science and Technology Project of Yunnan Power Grid Company (No. YDTZ-F2014-105).
Keywords:blackout defense  natural disaster  typhoon disaster  rainstorm disaster  micro topography  fault probability  online evaluation  security early warning
本文献已被 CNKI 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号