考虑初始故障状态和继发故障风险的关键线路辨识方法

doi:10.6040/j.issn.1672-3961.0.2024.343

摘要/Abstract

摘要： 为了有效识别复杂电力系统中的关键环节,提出一种考虑初始故障状态和继发故障风险的关键线路辨识方法。在初始故障发生阶段,基于加权潮流熵、加权网架熵和加权潮流冲击熵3个评估系统状态的指标表征初始故障水平;结合负荷损失风险与网架损失风险2个表征继发故障风险的指标,评估电网故障的演化发展;采用客观熵权法计算各个指标的权重,建立电网关键线路综合辨识指标。以IEEE 118节点测试系统作为算例进行仿真,结果表明,本研究方法辨识得到的关键线路受到攻击后,系统网络效能降幅最大且相较于其他方法多为最低,验证了所提方法的有效性。

关键词: 初始故障, 继发故障, 网架损失风险, 熵权法, 网络效能

Abstract: To effectively identify the key links in complex power system, a critical line identification method considering source fault state and secondary fault risk was proposed. In the source fault phase, weighted power flow entropy, weighted grid entropy, and weighted power flow impact entropy—three indicators for evaluating the system state—were proposed to characterize the source fault level. Load loss risk and grid loss risk—two indicators for characterizing the secondary fault risk—were combined to evaluate the development of power system faults. The objective entropy weight method determined each metric's weight, producing composite indicators for critical line identification. Simulations were conducted on the IEEE 118-bus test system. The results demonstrated that attacks on the critical lines identified by this method led to the largest decline in system network efficiency, which was consistently lower compared to other methods, confirming the validity of the proposed approach.

Key words: source fault, secondary fault, grid loss risk, entropy weight method, network efficiency

中图分类号:

TM71

李长城,罗燕婷,王东宏,康海鹏,潘松. 考虑初始故障状态和继发故障风险的关键线路辨识方法[J]. 山东大学学报 (工学版), 2025, 55(5): 40-50.

LI Changcheng, LUO Yanting, WANG Donghong, KANG Haipeng, PAN Song. A critical line identification method considering source fault state and secondary fault risk[J]. Journal of Shandong University(Engineering Science), 2025, 55(5): 40-50.

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