| 基于序列模式挖掘的电力系统连锁故障模式分析方法 |
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| 引用本文： | 刘豫航,黄少伟,梅生伟,张雪敏. 基于序列模式挖掘的电力系统连锁故障模式分析方法[J]. 电力系统自动化, 2019, 43(6): 34-40 |
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| 作者姓名： | 刘豫航 黄少伟 梅生伟 张雪敏 |
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| 作者单位： | 清华大学电机工程与应用电子技术系,北京市,100084;清华大学电机工程与应用电子技术系,北京市,100084;清华大学电机工程与应用电子技术系,北京市,100084;清华大学电机工程与应用电子技术系,北京市,100084 |
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| 基金项目： | 国家自然科学基金创新研究群体科学基金资助项目(51621065)；国家电网公司科技项目“基于多沙堆理论的互联电网停电事故预警技术及系统研发” |
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| 摘 要： | 研究连锁故障的传播规律,对于识别系统薄弱环节、制定连锁故障预防和阻断策略具有重要意义。在分析连锁故障发展过程的基础上,定义了连锁故障模式的概念,并基于序列模式挖掘技术提出连锁故障模式挖掘算法,实现对海量仿真数据的快速分析,有效辨识系统连锁故障模式。最后以IEEE 39节点系统和某省实际电网为例,利用该算法挖掘出系统主要连锁故障模式,并结合系统拓扑和潮流状态分析了系统连锁故障传播规律。测试结果证明,该方法对于分析系统连锁故障模式和辨识关键线路具有良好的效果。
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| 关 键 词： | 连锁故障 关键模式 序列模式挖掘 PrefixSpan算法 |
| 收稿时间： | 2018-05-28 |
| 修稿时间： | 2019-01-16 |
Analysis on Pattern of Power System Cascading Failure Based on Sequential Pattern Mining |
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| LIU Yuhang,HUANG Shaowei,MEI Shengwei and ZHANG Xuemin. Analysis on Pattern of Power System Cascading Failure Based on Sequential Pattern Mining[J]. Automation of Electric Power Systems, 2019, 43(6): 34-40 |
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| Authors: | LIU Yuhang HUANG Shaowei MEI Shengwei ZHANG Xuemin |
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| Affiliation: | Department of Electrical Engineering, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China |
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| Abstract: | Studying the propagation mechanism of cascading failures is of great significance for identifying the vulnerable lines in power grid and formulating prevention and blocking strategies for cascading failures. Based on analyzing the development progress of cascading failures, the concept of cascading failure pattern is defined. A cascading failure pattern mining algorithm(CFPMA)based on sequential pattern mining technology is proposed to analyze massive simulation data and identify critical cascading failure pattern of power system. Finally, taking the IEEE 39-bus system and a real provincial power system for example, CFPMA is used to mine the main cascading failure patterns, and the cascading failure propagation law is analyzed by combining the power grid topology and power flow. The test results show that the proposed method has a good effect on identifying the main cascading failure patterns and the vulnerable lines. |
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| Keywords: | cascading failure critical pattern sequential pattern mining PrefixSpan algorithm |
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