基于概率估计的电力系统多故障级联故障路径搜索

C. Liang, H. Dai, Tuo Liu, Li Ma
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引用次数: 1

摘要

在对级联故障进行分析时,在一定条件下需要考虑多重故障,并且多重故障的发生概率和严重程度随着设备维修引起的运行方式的改变而变化。本文将事件树用于级联故障分析,并利用罕见事件的概率近似理论划分了多个故障的概率顺序,从而简化了多个故障的筛选过程。将该方法应用于级联过载分析,从实例仿真结果可以看出,所提出的搜索方法能够较好地反映运行模式变化引起的故障概率变化,更好地评估设备维修风险,从而进一步提高低概率、高风险级联故障的路径搜索能力。该方法有助于对级联故障的深入研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power system cascading failure path searching under multiple failures based on probability estimation
In the analysis of cascading failure, the multiple failures is necessary to take into account under a certain condition, and the occurrence probability and severity of multiple failures are varies with the change of operating mode caused by equipment maintenance. In this paper the event tree is used in the analysis on cascading failures and by use of probability approximation theory of rare event the probability order of multiple failures is divided, thus the screening process of multiple failures can be simplified. Applying this method to the analysis on cascading overload and from the case simulation results it can be seen that the proposed searching method can reflect the variation of failure probability caused by the change of operating mode well, and assess the risk of equipment maintenance better, thus the path searching of low-probabilistic and high-risk cascading failures can be further improved. The proposed method may be helpful for the research on cascading failures in depth.
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