基于改进盈利主导者算法的电网脆弱线路辨识  

Identification of vulnerable lines in power grid based on improved profit leader algorithm

作  者:韩广炀 孙贤明[1] 耿俊琪 孙国威 HAN Guangyang;SUN Xianming;GENG Junqi;SUN Guowei(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255000,China;State Grid Shandong Electric Power Company Zibo Power Supply Company,Zibo 255000,China)

机构地区:[1]山东理工大学电气与电子工程学院,山东淄博255000 [2]国网山东省电力公司淄博供电公司,山东淄博255000

出  处:《供用电》2025年第3期68-75,85,共9页Distribution & Utilization

基  金:国家自然科学基金项目(51907109)。

摘  要:快速且准确辨识电网脆弱线路对于增强电网可靠性及预防大规模停电具有重要作用。提出了一种基于改进盈利主导者算法的电力系统脆弱线路识别方法。首先,构建了一个综合电力系统潮流动态和拓扑结构的相关网络。然后,通过引入线路权重和方向性,克服了传统盈利主导者算法仅考虑节点出度的局限性。最后,基于构建的线路相关网络和改进盈利主导者算法对电网关键线路进行辨识,并在IEEE 39节点系统上将该算法与其他几种常用的脆弱线路辨识方法进行比较,结果表明:在对改进盈利主导者算法所辨识的前7条脆弱线路进行静态攻击后,电力系统的电气孤岛数量显著增加,系统的剩余负荷率为43.7%,验证了改进盈利主导者算法在辨识脆弱线路方面的准确性和有效性。Rapid and accurate identification of vulnerable lines in the power grid is crucial for enhancing its reliability and preventing large-scale power outages.This article proposes a method for identifying vulnerable lines in power grid based on an improved profit leader algorithm.Firstly,a correlation network of power system flow dynamics and topology structure was constructed.Secondly,by introducing line weights and directionality,the limitation of traditional profit leader algorithms that only consider node egress is overcome.Finally,based on the constructed line correlation network and the improved profit leader algorithm,the key lines of the power grid were identified,and compared with other commonly used vulnerable lines identification methods on the IEEE 39 nodes system.The results showed that after static attacks on the first seven vulnerable lines identified by the improved profit leader algorithm,the number of electrical islands in the power system rapidly increased,and the remaining load rate of the system was 43.7%,verifying the accuracy and effectiveness of the algorithm in identifying vulnerable lines in this paper.

关 键 词:脆弱线路 改进盈利主导者算法 拓扑结构 电力系统 复杂网络 

分 类 号:TM71[电气工程—电力系统及自动化]

 

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