基于综合重要度的电网关键线路辨识方法
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摘要
更加精准快速识别出电网关键线路,对提高电网运行的稳定程度以及预防电网连锁故障具有重要意义。文章首先基于复杂网络理论提出改进潮流介数指标,从结构角度判别系统受到功率扰动后线路的脆弱程度;然后基于熵理论,提出计及线路负载率的加权潮流转移熵指标,克服原有指标中只考虑转移潮流分布均匀性的不足;最后建立包括以上2种指标的综合重要度评估指标,更加全面地衡量线路在电力系统中的重要程度。通过对IEEE 39节点系统进行仿真,得出了不同攻击方式下系统的改进网络传输效率变化曲线图,证明了综合重要度指标的有效性,对预防电力系统连锁故障具有重要意义。
More accurate and rapid identification of the key lines of power grid is of great significance to improve the stability of the power grid operation and prevent cascading failure of power grid. Firstly,on the basis of the complex network theory,the improved flow betweenness index is proposed to judge the vulnerability of the branch from the structural point of view after the power disturbance. Then,on the basis of the entropy theory,the weighted flow transfer entropy index considering the load rate of the branch is proposed,which overcomes the shortcomings of the original indicator only considering the uniformity of the transfer flow distribution. Finally,the comprehensive importance assessment index including above two indicators is established to more comprehensively measure the importance of the branch in the power system. Through the simulation,the improved network transmission efficiency curve of the system under different attack modes is obtained. The effectiveness of the method is proved by the simulation of IEEE 39-node system,which is of great significance to prevent the cascading failure of power system.
More accurate and rapid identification of the key lines of power grid is of great significance to improve the stability of the power grid operation and prevent cascading failure of power grid. Firstly,on the basis of the complex network theory,the improved flow betweenness index is proposed to judge the vulnerability of the branch from the structural point of view after the power disturbance. Then,on the basis of the entropy theory,the weighted flow transfer entropy index considering the load rate of the branch is proposed,which overcomes the shortcomings of the original indicator only considering the uniformity of the transfer flow distribution. Finally,the comprehensive importance assessment index including above two indicators is established to more comprehensively measure the importance of the branch in the power system. Through the simulation,the improved network transmission efficiency curve of the system under different attack modes is obtained. The effectiveness of the method is proved by the simulation of IEEE 39-node system,which is of great significance to prevent the cascading failure of power system.
引文
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[13]李勇,刘俊勇,刘晓宇,等.基于潮流熵测度的连锁故障脆弱线路评估及其在四川主干电网中的应用[J].电力自动化设备,2013,33(10):40-46.LI Yong,LIU Junyong,LIU Xiaoyu,et al.Vulnerability assessment based on power flow entropy for lines in cascading failures and its application in Sichuan backbone power grid[J].Electric Power Automation Equipment,2013,33(10):40-46.
[14]鞠文云,李银红.基于最大流传输贡献度的电力网关键线路和节点辨识[J].电力系统自动化,2012,36(9):6-12.JU Wenyun,LI Yinhong.Identification of critical lines and nodes inpower grid based on maximum flow transmission contribution degree[J].Automation of Electric Power Systems,2012,36(9):6-12.
[15]李勇,刘俊勇,刘晓宇,等.基于潮流熵的电网连锁故障传播元件的脆弱性评估[J].电力系统自动化,2012,36(19):11-16.LI Yong,LIU Junyong,LIU Xiaoyu,et al.Vulnerability assessment in power grid cascading failures based on entropy of power flow[J].Automation of Electric Power Systems,2012,36(19):11-16.
[16]徐岩,郅静.基于加权潮流熵的电网故障传播脆弱线路识别[J].现代电力,2016,33(3):88-94.XU Yan,ZHI Jing.Identification of vulnerable lines for fault propagation in power grid based on the weighted power flow entropy[J].Modern Electric Power,2016,33(3):88-94.
[17]刘涤尘,冀星沛,王波,等.基于复杂网络理论的电力通信网络拓扑脆弱性分析及对策[J].电网技术,2015,39(12):3615-3621.LIU Dichen,JI Xingpei,WANG Bo,et al.Topological vulnerability analysisand countermeasures of electrical communication network based on complex network theory[J].Power System Technology,2015,39(12):3615-3621.
[2]汤涌,卜广全,易俊.印度“7·30”、“7·31”大停电事故分析及启示[J].中国电机工程学报,2012,32(25):167-174.TANG Yong,BU Guangquan,YI Jun.Analysis and lessons of the blackout in India power grid on July 30 and 31,2012[J].Proceedings of the CSEE,2012,32(25):167-174.
[3]倪向萍,梅生伟,张雪敏.基于复杂网络理论的输电线路脆弱度评估方法[J].电力系统自动化,2008,32(4):1-5.NI Xiangping,MEI Shengwei,ZHANG Xuemin.Transmission lines'vulnerability assessment based on complex network theory[J].Automation of Electric Power Systems,2008,32(4):1-5.
[4]蔡泽祥,王星华,任晓娜.复杂网络理论及其在电力系统中的应用研究综述[J].电网技术,2012,36(11):114-121.CAI Zexiang,WANG Xinghua,REN Xiaona.A review of complex network theory and its application in power systems[J].Power System Technology,2012,36(11):114-121.
[5]魏震波,刘俊勇,朱俊国,等.电力系统脆弱性理论研究[J].电力自动化设备,2009,29(7):38-43.WEI Zhenbo,LIU Junyong,ZHU Junguo,et al.Power system vulnerability[J].Electric Power Automation Equipment,2009,29(7):38-43.
[6]孟仲伟,鲁宗相,宋靖雁.中美电网的小世界拓扑模型比较分析[J].电力系统自动化,2004,28(15):21-24.MENG Zhongwei,LU Zongxiang,SONG Jingyan.Comparison analysis of the small-world topological model of Chinese and American power grids[J].Automation of Electric Power Systems,2004,28(15):21-24.
[7]罗钢,陈金富,石东源,等.基于复杂网络理论的关键输电断面分析[J].中国电机工程学报,2013,33(25):147-155.LUO Gang,CHEN Jinfu,SHI Dongyuan,et al.Key transmission sections analysis based on complex networks throry[J].Proceedings of the CSEE,2013,33(25):147-155.
[8]MOTTER A E,LAI Y C.Cascade-based attacks on complex networks[J].Physical Review E,2002,66(2):1-4.
[9]曹一家,陈晓刚,孙可.基于复杂网络理论的大型电力系统脆弱线路辨识[J].电力自动化设备,2006,26(12):1-5.CAO Yijia,CHEN Xiaogang,SUN Ke.Identification of vulnerable lines in power grid based on complex network theory[J].Electric Power Automation Equipment,2006,26(12):1-5.
[10]徐林,王秀丽,王锡凡.电气介数及其在电力系统关键线路识别中的应用[J].中国电机工程学报,2010,30(1):33-39.XU Lin,WANG Xiuli,WANG Xifan.Electric betweenness and its application in vulnerable line identification in power grid[J].Proceedings of the CSEE,2010,30(1):33-39.
[11]梁才,刘文颖,但扬清,等.输电线路的潮流介数及其在关键线路识别中的应用[J].电力系统自动化,2014,38(8):35-40.LIANG Cai,LIU Wenying,DAN Yangqing,et al.Flow betweenness of transmission lines and its application in critical line identification[J].Automation of Electric Power Systems,2014,38(8):35-40.
[12]慕宗江,徐岩,仇向东,等.基于潮流熵的继电保护定值在线校核评估方法[J].电力自动化设备,2014,34(2):170-174.MU Zongjiang,XU Yan,QIU Xiangdong,et al.On-line protection setting assessment based on power flow entropy[J].Electric Power Automation Equipment,2014,34(2):170-174.
[13]李勇,刘俊勇,刘晓宇,等.基于潮流熵测度的连锁故障脆弱线路评估及其在四川主干电网中的应用[J].电力自动化设备,2013,33(10):40-46.LI Yong,LIU Junyong,LIU Xiaoyu,et al.Vulnerability assessment based on power flow entropy for lines in cascading failures and its application in Sichuan backbone power grid[J].Electric Power Automation Equipment,2013,33(10):40-46.
[14]鞠文云,李银红.基于最大流传输贡献度的电力网关键线路和节点辨识[J].电力系统自动化,2012,36(9):6-12.JU Wenyun,LI Yinhong.Identification of critical lines and nodes inpower grid based on maximum flow transmission contribution degree[J].Automation of Electric Power Systems,2012,36(9):6-12.
[15]李勇,刘俊勇,刘晓宇,等.基于潮流熵的电网连锁故障传播元件的脆弱性评估[J].电力系统自动化,2012,36(19):11-16.LI Yong,LIU Junyong,LIU Xiaoyu,et al.Vulnerability assessment in power grid cascading failures based on entropy of power flow[J].Automation of Electric Power Systems,2012,36(19):11-16.
[16]徐岩,郅静.基于加权潮流熵的电网故障传播脆弱线路识别[J].现代电力,2016,33(3):88-94.XU Yan,ZHI Jing.Identification of vulnerable lines for fault propagation in power grid based on the weighted power flow entropy[J].Modern Electric Power,2016,33(3):88-94.
[17]刘涤尘,冀星沛,王波,等.基于复杂网络理论的电力通信网络拓扑脆弱性分析及对策[J].电网技术,2015,39(12):3615-3621.LIU Dichen,JI Xingpei,WANG Bo,et al.Topological vulnerability analysisand countermeasures of electrical communication network based on complex network theory[J].Power System Technology,2015,39(12):3615-3621.