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。
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 cas- cading failure is analyzed. The simulative results of IEEE 118-bus system show that, the proposed method can effec- tively identify the dangerous lines in the cascading failure development process.
作者
周强明
姜盛波
鲁鸿毅
曾鹏
罗超
谭敏
雷鸣
杨军
ZHOU Qiangming1, JIANG Shengbo2, LU Hongyi1, ZENG Peng1, LUO Chao2 ,TAN Min1 ,LEI Ming1 ,YANG Jun2(1. State Grid Hubei Electric Power Company, Wuhan 430077, China; 2. School of Electrical Engineering, Wuhan University,Wuhan 430072, Chin)
出处
《电力自动化设备》
EI
CSCD
北大核心
2018年第4期89-95,共7页
Electric Power Automation Equipment
基金
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~~