| 基于FP-growth算法的大电网关键线路辨识方法 |
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| 引用本文： | 周强明,姜盛波,鲁鸿毅,曾鹏,罗超,谭敏,雷鸣,杨军.基于FP-growth算法的大电网关键线路辨识方法[J].电力自动化设备,2018,38(4). |
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| 作者姓名： | 周强明 姜盛波 鲁鸿毅 曾鹏 罗超 谭敏 雷鸣 杨军 |
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| 作者单位： | 国网湖北省电力公司，湖北武汉430077,武汉大学电气工程学院，湖北武汉430072,国网湖北省电力公司，湖北武汉430077,国网湖北省电力公司，湖北武汉430077,武汉大学电气工程学院，湖北武汉430072,国网湖北省电力公司，湖北武汉430077,国网湖北省电力公司，湖北武汉430077,武汉大学电气工程学院，湖北武汉430072 |
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| 基金项目： | 国家自然科学基金重大项目(51190105)；国家自然科学基金资助项目(51277135)；湖北省电力公司科技项目 |
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| 摘 要： | 辨识出连锁故障发展过程中的关键线路,对采取有效的连锁故障抑制策略,保障电网安全稳定运行具有重要作用。提出一种基于FP-growth算法的大电网关键线路辨识方法。利用FP-growth算法对基于电网运行可靠性模型进行连锁故障模拟生成的连锁故障事故链集合进行数据挖掘,发掘事故链集隐藏的关联规则,辨识连锁故障发展过程中的关键线路,对关键线路进行风险分析,并分析其对连锁故障的影响。IEEE 118节点系统仿真结果表明,所提方法能够有效辨识出连锁故障发展过程中的危险线路。
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| 关 键 词： | 连锁故障 运行可靠性 FP-growth算法 关键线路 风险分析 稳定 |
| 收稿时间： | 2017/1/19 0:00:00 |
| 修稿时间： | 2017/12/16 0:00:00 |
Critical line identification method based on FP-growth algorithm for large power grid |
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| ZHOU Qiangming,JIANG Shengbo,LU Hongyi,ZENG Peng,LUO Chao,TAN Min,LEI Ming and YANG Jun.Critical line identification method based on FP-growth algorithm for large power grid[J].Electric Power Automation Equipment,2018,38(4). |
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| Authors: | ZHOU Qiangming JIANG Shengbo LU Hongyi ZENG Peng LUO Chao TAN Min LEI Ming and YANG Jun |
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| Affiliation: | State Grid Hubei Electric Power Company, Wuhan 430077, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,State Grid Hubei Electric Power Company, Wuhan 430077, China,State Grid Hubei Electric Power Company, Wuhan 430077, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,State Grid Hubei Electric Power Company, Wuhan 430077, China,State Grid Hubei Electric Power Company, Wuhan 430077, China and School of Electrical Engineering, Wuhan University, Wuhan 430072, China |
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| Abstract: | The identification of critical lines in the development process of cascading failure is important for adopting effective restriction strategy to ensure the secure and stable operation of power grid. A critical line identification method based on FP-growth algorithm is proposed for large power grid. The cascading failure chain sets generated by the cascading failure simulation based on the operational reliability model of power grid are mined by the FP-growth algorithm to discover the association rules hidden in the sets. Therefore, the critical lines in the development process of cascading failure are identified. The risk analysis of those critical lines is carried out and their impact on the cascading failure is analyzed. The simulative results of IEEE 118-bus system show that, the proposed method can effectively identify the dangerous lines in the cascading failure development process. |
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| Keywords: | cascading failure operational reliability FP-growth algorithm critical line risk analysis stability |
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