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基于加权网络拓扑熵的电网自组织临界状态演化

DOI: 10.13334/j.0258-8013.pcsee.2015.22.008, PP. 5740-5748

Keywords: 连锁故障,自组织临界态,关键节点,节点流量,加权网络拓扑熵

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Abstract:

针对目前电网自组织临界状态演化的研究主要集中于网架结构或运行状态单一因素的情况,总结了两者在决定电网自组织临界演化进程上的区别和联系,并结合实际电网运行状态和网架结构不断变化的特点,以及通讯网中流量和有效性能模型中网络效率的定义,提出节点流量的概念,充分体现和量化了节点在传输电能中发挥的作用;在此基础上,提出用节点流量进行加权的加权网络拓扑熵,不仅能反映节点在各节点度数区间的分布情况,还能定量判断各区间节点的重要程度,其能自动跟踪电网的运行状态和网架结构变化,动态反映电网的自组织临界演化趋势,物理背景更加符合电力系统实际。结合大停电风险评估指标对河西电网的自组织临界演化进行了仿真计算,仿真结果证明加权网络拓扑熵在表征电网自组织临界演化水平上的实时性和全面性。

References

[1]  梁才,刘文颖,温志伟,等.电网组织结构对其自组织临界性的影响[J].电力系统保护与控制,2010,38(20):6-11. Liang Cai,Liu Wenying,Wen Zhiwei,et al.The influences of power grid structure on self-organized criticality[J].Power System Protection and Control,2010,38(20):6-11(in Chinese).
[2]  丁明,韩平平.基于复杂系统理论的电网连锁故障研究[J].合肥工业大学学报:自然科学版,2005,28(9):1047-1052. Ding Ming,Han Pingping.Research on power system cascading failure with complex system theory[J].Journal of Hefei University of Technology,2005,28(9):1047-1052(in Chinese).
[3]  Sun K.Complex networks theory:a new method of research in power grid[C]//2005 IEEE/PES Transmission and Distribution Conference & Exhibition:Asia and Pacific.Dalian,China:IEEE,2005:1-6.
[4]  Sun K,Han Z X.Analysis and comparison on several kinds of models of cascading failure in power system[C]//2005 IEEE/PES Transmission and Distribution Conference & Exhibition:Asia and Pacific.Dalian,China:IEEE,2005:1-7.
[5]  Arianos S,Bompard E,Carbone A,et al.Power grid vulnerability:a complex network approach[J].Chaos,2009,19(1):013119.
[6]  Bompard E,Napoli R,Xue F.Analysis of structural vulnerabilities in power transmission grids[J].International Journal of Critical Infrastructure Protection,2009,2(1-2):5-12.
[7]  Guiaşu S.Weighted entropy[J].Reports on Mathematical Physics,1971,2(3):165-179.
[8]  Rockafellar R T,Uryasev S.Optimization of conditional value-at-risk[J].Journal of Risk,2000,2(3):21-41.
[9]  周小敏.基于GARCH模型的CVaR金融风险测度研究[D].长沙:湖南大学,2007. Zhou Xiaomin.An research on CVaR financial risk measurement based on GARCH model[D].Changsha:Hu’nan University,2007(in Chinese).
[10]  Carreras B A,Newman D E,Dobson I,et al.Initial evidence for self-organized criticality in electric power system blackouts[C]//Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.Maui,HI,USA:IEEE,2000.
[11]  Carreras B A,Lynch V E,Sachtjen M L,et al.Modeling blackout dynamics in power transmission networks with simple structure[C]//Proceedings of the 34th Annual Hawaii International Conference on System Sciences.Maui,HI,USA:IEEE,2001:719-727.
[12]  刘文颖,蔡万通,但扬清,等.大规模风电集中接入环境下基于熵理论的电网自组织临界状态演化[J].电网技术,2013,37(12):3392-3398. Liu Wenying,Cai Wantong,Dan Yangqing,et al.The evolution of grid’s self-organized criticality state based on entropy theory under the circumstance of large scale wind power centralized grid[J].Power System Technology,2013,37(12):3392-3398(in Chinese).
[13]  Dobson I,Carreras B A,Lynch V E,et al.An initial model for complex dynamics in electric power system blackouts [C]//Proceedings of the 34th Annual Hawaii International Conference on System Sciences.Maui,HI,USA:IEEE,2001:710-718.
[14]  于群,郭剑波.我国电力系统停电事故自组织临界性的研究[J].电网技术,2006,30(6):1-5. Yu Qun,Guo Jianbo.Study on self-organized criticality of power system blackouts in China[J].Power System Technology,2006,30(6):1-5(in Chinese).
[15]  易俊,周孝信,肖逾男.用连锁故障搜索算法判别系统的自组织临界状态[J].中国电机工程学报,2007,27(25):1-5. Yi Jun,Zhou Xiaoxin,Xiao Yu’nan.Determining the self-organized criticality state of power systems by the cascading failures searching method[J].Proceedings of the CSEE,2007,27(25):1-5(in Chinese).
[16]  Yehsakul P D,Dabbaghchi I.A topology-based algorithm for tracking network connectivity[J].IEEE Transactions on Power Systems,1995,10(1):339-346.
[17]  杨雄平.电力系统网络拓扑结构分析及运行方式组合研究[D].武汉:华中科技大学,2007. Yang Xiongping.Study on network topology analysis and operation modes combination in power system[D].Wuhan:Huazhong University of Science and Technology,2007(in Chinese).
[18]  杨建民,张宁.复杂网络演化的自组织现象[J].上海理工大学学报,2005,27(5):413-416. Yang Jianming,Zhang Ning.Self-organization phenomena of complex network evolution[J].Journal of University of Shanghai for Science and Technology,2005,27(5):413-416(in Chinese).
[19]  杨汀依.复杂网络关键节点识别技术研究[D].南京:南京理工大学,2011. Yang Dingyi.Relational analysis of essential nodes of complex network[D].Nanjing:Nanjing University of Science and Technology,2011(in Chinese).
[20]  陈勇,胡爱群,胡骏,等.通信网中最重要节点的确定方法[J].高技术通讯,2004,14(1):21-24. Chen Yong,Hu Aiqun,Hu Jun,et al.A method for finding the most vital node in communication networks[J].High Technology Letters,2004,14(1):21-24(in Chinese).
[21]  Cructiti P,Latora V,Marchiori M.Model for cascading failures in complex networks[J].Physical Review E,2004,69(4):045104.

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