摘要
为研究电力系统连锁故障机理并对连锁故障传播路径进行辨识,从复杂系统的脆性角度出发,提出了线路之间脆性风险熵的计算方法,选择与故障线路脆性风险熵较大的线路作为下一级故障线路,提出了基于脆性风险熵的电力系统连锁故障预测模型。连锁故障的实质是电力系统中脆性源被激发后的脆性传播过程,随着故障的传播,元件间脆性风险熵呈增长趋势。新英格兰39节点系统的仿真结果表明,脆性风险熵的变化趋势可以为运行人员制定防御策略提供量化参考。
In order to study the mechanism of cascading failure and identify the propagation path of cascading failure, a method was proposed to calculate the brittle risk entropy between lines to choose the line with the largest brittle risk entropy between the fault line and a power system cascading failure prediction based on brittle entropy of complex sys- tem is proposed in this paper. The essence of cascading failure is that the brittleness process when the brittleness source is excited, as the failure spreads, the brittle risk entropy between lines is enhancing. The New-England 39 bus power system simulation results indicate that the trends of brittle risk entropy can provide quantitative reference for op-erators when formulate the defensive strategies.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第4期39-43,共5页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51007017)
国家电网公司大电网重大专项资助项目(SGCC-MPLG024-2012)
安徽省自然科学基金项目(1408085ME100)
合肥工业大学博士专项科研资助基金项目(2012HGBZ0657)
关键词
电力系统
连锁故障
脆性关联
脆性风险熵
故障预测
power system
cascading failure
brittle relationship
brittle risk entropy
failure prediction
