1. North China Electric Power University Baoding 071003 China; 2. State Grid Langfang Power Supply Company Langfang 065000 China; 3. Hebei Power Dispatch and Communication Center Shijiazhuang 050021 China
Abstract：Aiming at the demand of key link identification in power system security defense, the paper puts forward the concept of grid key line sequence. Based on the structural vulnerability indexes and network performance indicators, this paper constructs the comprehensive importance index of line sequence and selects key line sequence in combination with the multiple attribute decision making method. Regarding multiple attribute optimization and sort of large-scale line sequences, particle swarm optimization algorithm is given. Taken IEEE 39-node system and Hebei southern power gird as examples, the experimental results of searching key line sequences show that the proposed method can effectively filter the system key line sequences and provide guidance for power grid cascading failure prevention.
王涛, 李渝, 顾雪平, 贾京华. 电网关键线路序元搜索方法[J]. 电工技术学报, 2016, 31(2): 153-162.
Wang Tao, Li Yu, Gu Xueping, Jia Jinghua. Study of Grid’s Key Line Sequence Search Method. Transactions of China Electrotechnical Society, 2016, 31(2): 153-162.
[1] 胡学浩. 美加联合电网大面积停电事故的反思和启示[J]. 电网技术, 2003, 27(9): 2-6. Hu Xuehao. Rethinking and enlightenment of large scope blackout in interconnected north America power grid[J]. Power System Technology, 2003, 27(9): 2-6. [2] 周孝信, 郑健超, 沈国荣. 从美加东北部电网大面积停电事故中吸取教训[J]. 电网技术, 2003, 27(9): 1. Zhou Xiaoxin, Zheng Jianchao, Shen Guorong, et al. Lessons of large scale blackouts in interconnected north America power grid[J]. Power System Techno- logy, 2003, 27(9): 1. [3] Bompard E, Wu D, Xue F. Structural vulnerability of power systems: a topological approach[J]. Electric Power Systems Research, 2011, 81(7): 1334-1340. [4] Chen G, Dong Z Y, Hill D J, et al. Attack structural vulnerability of power grids: a hybrid approach based on complex networks[J]. Physica A: Statistical Mechanics and Its Applications, 2010, 389(3): 595-603. [5] 曹一家, 陈晓钢, 孙可. 基于复杂网络理论的大型电力系统脆弱线路识别[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 Equip- ment, 2006, 26(12): 1-5. [6] 陈晓刚, 孙可, 曹一家. 基于复杂网络理论的大电网结构脆弱性分析[J]. 电工技术学报, 2007, 22(10): 138-144. Chen Xiaogang, Sun Ke, Cao Yijia. Structural vulnerability analysis of large power grid based on complex network theory[J]. Transactions of China Electrotechnical Society, 2007, 22(10): 138-144. [7] 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 between- ness and its application in vulnerable line identify- cation in power grid[J]. Proceedings of the CSEE, 2010, 30(1): 33-39. [8] 程临燕, 张保会, 李光辉. 采用有向电气介数的脆弱线路选取[J]. 西安交通大学学报, 2011, 45(6): 91-95. Cheng Linyan, Zhang Baohui, Li Guanghui. Search for vulnerable line based on directed electric betweenness[J]. Journal of Xi’an Jiaotong University, 2011, 45(6): 91-95. [9] 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. Vulnerability assessment on transmission lines based on complex network theory[J]. Automation of Electric Power Systems, 2008, 32(4): 1-5. [10] 丁理杰, 刘美君, 曹一家, 等. 基于隐性故障模型和风险理论的关键线路辨识[J]. 电力系统自动化, 2007, 31(6): 1-5. Ding Lijie, Liu Meijun, Cao Yijia, et al. Power system key-lines identification based on hidden failure model and risk theory[J]. Automation of Electric Power Systems, 2007, 31(6): 1-5. [11] 刘影, 王涛, 顾雪平. 基于边韧性度的电力系统关键线路筛选[J]. 电力系统保护与控制, 2012, 40(6): 92-96. Liu Ying, Wang Tao, Gu Xueping. Screening of critical lines in power systems based on the edge tenacity index[J]. Power System Protection and Control, 2012, 40(6): 92-96. [12] 李勇, 刘俊勇, 刘晓宇, 等. 基于潮流熵的电网联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. Vulner- ability assessment in power grid cascading failure based on entropy of power flow[J]. Automation of Electric Power Systems, 2012, 36(19): 11-16. [13] 魏震波, 刘俊勇, 朱国俊, 等. 基于可靠性加权拓扑模型下的电网脆弱性评估模型[J]. 电工技术学报, 2010, 25(8): 131-137. Wei Zhenbo, Liu Junyong, Zhu Guojun, et al. Vulnerability evaluation model to power grid based on reliability-parameter-weighted topological model[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 131-137. [14] 丁明, 韩平平. 加权拓扑模型下的小世界电网脆弱性评估[J].中国电机工程学报, 2008, 28(10): 20-25. Ding Ming, Han Pingping. Vulnerability assessment to small-world power grid based on weighted topological model[J]. Proceedings of the CSEE, 2008, 28(10): 20-25. [15] 徐泽水. 不确定多属性决策方法及应用[M]. 北京:清华大学出版社, 2004. [16] Del Valle Y, Venayagamoorthy G K, Mohagheghi S, et al. Particle swarm optimization: basic concepts, variants and applications in power systems[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(2): 171-195. [17] 李鑫滨, 朱庆军. 一种改进粒子群优化算法在多目标无功优化中的应用[J]. 电工技术学报, 2010, 25(7): 137-143. Li Xinbin, Zhu Qingjun. Application of improved particle swarm optimization algorithm to multi- objective reactive power optimization[J]. Transactions of China Electrotechnical Society, 2010, 25(7): 137- 143. [18] Wang X, Ma L, Wang T. An optimized nearest prototype classifier for power plant fault diagnosis using hybrid particle swarm optimization algorithm[J]. International Journal of Electrical Power & Energy Systems, 2014, 58(6): 257-265.
2016, Vol. 31 
