N-1安全网络约束下基于综合潮流熵的输电网关键线路辨识方法

王峥; 牟善科; 康海鹏; 庄侃沁; 陈浩; 程浩忠

王峥,牟善科,康海鹏,庄侃沁,陈浩,程浩忠.N-1安全网络约束下基于综合潮流熵的输电网关键线路辨识方法[J].电测与仪表,2026,63(6):84-91.
WANG Zheng,MOU Shanke,KANG Haipeng,ZHUANG Kanqin,CHEN Hao,CHENG Haozhong.Identification method of critical lines in transmission grid based on integrated flow entropy under N-1 security network constraints[J].Electrical Measurement & Instrumentation,2026,63(6):84-91.

N-1安全网络约束下基于综合潮流熵的输电网关键线路辨识方法

Identification method of critical lines in transmission grid based on integrated flow entropy under N-1 security network constraints

DOI：10.19753/j.issn1001-1390.2026.06.009

中文关键词: 关键线路加权潮流影响熵加权潮流分布熵综合潮流熵输电网

英文关键词:critical lines, weighted power flow impact entropy, weighted power flow distribution entropy, integrated power flow entropy, transmission grid

基金项目:国家电网有限公司华东分部科技项目（52992424000Z）

作者中文名	作者英文名	单位
王峥	WANG Zheng	国家电网有限公司华东分部
牟善科	MOU Shanke	国家电网有限公司华东分部
康海鹏	KANG Haipeng	上海交通大学
庄侃沁	ZHUANG Kanqin	国家电网有限公司华东分部
陈浩	CHEN Hao	国家电网有限公司华东分部
程浩忠	CHENG Haozhong	上海交通大学

摘要点击次数: 120

中文摘要:

辨识输电网中易触发连锁故障的关键线路，对于保障电力系统运行安全具有重要意义。针对现有关键线路研究未考虑实际电网N-1安全网络约束和目标线路与其它线路之间双向潮流转移影响的缺陷，提出N-1安全网络约束下基于综合潮流熵的输电网关键线路辨识方法，旨在解决因上述缺陷所致关键线路辨识准确性不足、连锁故障防御效果欠佳的问题。文中基于熵理论建立以区间平均负载率加权的潮流影响熵指标，表征系统不同N-1故障对目标线路负载率的冲击影响；同时，建立以区间平均负载率与N-2线路开断场景概率加权的潮流分布熵指标，从电网线路负载率分布均衡性层面衡量目标线路断开造成的后果；基于此，建立线路综合潮流熵评估指标，旨在综合辨识N-1安全网络约束下易触发连锁故障的关键线路。基于IEEE 39节点系统与现有方法进行对比，结果表明文中方法辨识的关键线路更加准确，对所辨识关键线路进行扩容可显著降低连锁故障失负荷风险。

英文摘要:

Identifying critical transmission linesprone to triggering cascading failures is vitalto ensure the operational security of power system. Existing studies on critical lines overlook N-1 security network constraints and the bidirectional flow transfer effects between target and other lines. This paper proposes a method for identifying critical lines in transmission grid based on integrated flow entropy under N-1 security network constraints, improving accuracy of critical line identification and effectiveness of cascading failure defense.An entropy index with interval-weighted average load rates is established, representing the impact of different N-1 contingencies on the load rates of target lines. A flow distribution entropy index is also built by weighting the interval-average load rate with probabilities of N-2 line outages, measuring the consequences of target line disconnections from load distribution balance. Hence, a comprehensive flow entropy index is constructed to identify critical linesprone to cascading failures more accurately under N-1 security constraints.Based on the IEEE 39-bus system, comparative results show that the proposed method identifies critical lines more accurately. Expanding the critical lines can significantly reduce the risk of load loss due to cascading failures.

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