电力系统及其自动化学报2018，Vol.30Issue(2)：20-25,6.DOI:10.3969/j.issn.1003-8930.2018.02.004
基于点渗流和熵权法的连锁故障路径风险评估
Risk Assessment on Cascading Failure Path Based on Site Percolation and Entropy Weight Method
摘要
Abstract
In order to search for the cascading failure path of power system,a forecasting model of branch fault and a risk assessment model of cascading failure path are built in this paper.First,a power flow transfer percolation probabili?ty model of branch is established based on site percolation theory with the combination of branch impact-resistant abili?ty,thus the branch fault percolation probability is obtained and the fault branch candidate set is formed.With the con?sideration of the hidden fault of protection devices,the fault branch candidate set is modified. Second,three conse?quence sub-indexes are set up with respect to power,voltage and load,which can evaluate the impact of branch fault on the system. The objective weights of these sub-indexes are calculated according to the entropy weight method,and a risk assessment model of cascading failure path is established.Finally,the simulation results of an IEEE 39-node sys?tem show that the proposed model can accurately find the fault branch candidate set at all levels and the cascading fail?ure path with the highest risk,which verifies its effectiveness.关键词
连锁故障发展路径/支路故障渗流概率/熵权法/风险评估Key words
cascading failure path/branch fault percolation probability/entropy weight method/risk assessment分类
信息技术与安全科学引用本文复制引用
张娟,童晓阳,姜建伟..基于点渗流和熵权法的连锁故障路径风险评估[J].电力系统及其自动化学报,2018,30(2):20-25,6.基金项目
国家自然科学基金资助项目(51377137) （51377137）
