引用本文:吕歆瑶,李华强,郑 国,周晓雨.基于综合脆性关联度的连锁故障预测与冲击辨识[J].电力自动化设备,2015,35(12):
LV Xinyao,LI Huaqiang,ZHENG Guo,ZHOU Xiaoyu.Cascading failure forecast and impact identification based on comprehensive brittleness relevance[J].Electric Power Automation Equipment,2015,35(12):
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基于综合脆性关联度的连锁故障预测与冲击辨识
吕歆瑶, 李华强, 郑 国, 周晓雨
四川大学 电气信息学院,四川 成都 610065
摘要:
提出了一种连锁故障预测的方法。所提方法综合考虑连锁故障过程中各支路的状态脆性关联度与结构脆性关联度,在电气结构的基础上构建了反映各支路综合脆性关联度的连锁故障预测指标。将熵理论引入综合预测指标,构建脆性关联熵确定故障线路对系统的冲击程度,辨识出极易引发灾难性后果的初始故障及对系统影响极为严重的连锁故障序列。仿真结果证明了所提方法的有效性。
关键词:  电气结构  结构脆性关联度  状态脆性关联度  脆性关联熵  连锁故障预测  冲击辨识  故障分析
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Cascading failure forecast and impact identification based on comprehensive brittleness relevance
LV Xinyao, LI Huaqiang, ZHENG Guo, ZHOU Xiaoyu
School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China
Abstract:
A method of cascading failure forecast is proposed,which systematically considers the conditional brittleness relevance and structural brittleness relevance of different branches in the cascading failure and establishes the cascading failure forecast index based on the electrical structure to reflect the comprehensive brittleness relevance of each branch. The entropy theory is introduced in the comprehensive forecast index to construct the brittleness relevance entropy for determining the impact of faulty line on system,identifying the initial fault easily causing disaster and detecting the cascading failure sequence seriously impacting on system. The simulative results verify the effectiveness of the proposed method.
Key words:  electrical structure  structural brittleness relevance  conditional brittleness relevance  brittleness relevance entropy  cascading failure forecast  impact identification  failure analysis

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