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基于渗流和风险理论的电力系统连锁故障分析
引用本文:张娟,童晓阳,姜建伟.基于渗流和风险理论的电力系统连锁故障分析[J].电力系统自动化,2017,41(5):46-52.
作者姓名:张娟  童晓阳  姜建伟
作者单位:西南交通大学电气工程学院, 四川省成都市 610031; 国网上海市电力公司客户服务中心, 上海市 200030,西南交通大学电气工程学院, 四川省成都市 610031,中车青岛四方机车车辆股份有限公司, 山东省青岛市 266000
基金项目:国家自然科学基金资助项目(51377137)
摘    要:基于渗流理论结合电气性质研究连锁故障发展机理,探索故障发展路径。首先构建了支路故障渗流概率模型,结合支路健康度指标、重要度指标综合得到支路故障停运概率模型,可以辨识正常运行状态下系统脆弱支路、预测故障运行状态下系统故障支路。其次,构建了系统连锁故障路径综合后果指标,结合路径发生概率构建路径风险评估模型,全面诊断分析连锁故障可能发展路径。最后,以IEEE 39节点系统的算例验证了所述方法的有效性。

关 键 词:电力系统  连锁故障  渗流理论  支路故障停运概率模型  风险评估
收稿时间:2016/5/15 0:00:00
修稿时间:2016/11/30 0:00:00

Analysis on Power System Cascading Failure Based on Percolation and Risk Theory
ZHANG Juan,TONG Xiaoyang and JIANG Jianwei.Analysis on Power System Cascading Failure Based on Percolation and Risk Theory[J].Automation of Electric Power Systems,2017,41(5):46-52.
Authors:ZHANG Juan  TONG Xiaoyang and JIANG Jianwei
Affiliation:School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China; Customer Center, State Grid Shanghai Municipal Electric Power Company, Shanghai 200030, China,School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China and CRRC Qingdao Sifang Co. Ltd., Qingdao 266000, China
Abstract:The cascading failure mechanism is studied based on percolation theory combined with electrical properties to explore the fault development path. Firstly, a branch fault percolation probability model is built. By combining with the branch health degree index and importance index, the branch outage probability model is obtained, which could identify a fragile branch in normal operation state of the system and predict a fault branch in fault running state. Secondly, the comprehensive consequence index of the cascading failure path is established. Combined with the path probability, a path risk assessment model is built, which could diagnose and analyze the cascading failure path. Finally, the validity of this method is verified using an IEEE 39 bus system.
Keywords:power system  cascading failure  percolation theory  branch outage probability model  risk assessment
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