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复杂电网连锁故障下的关键线路辨识

DOI: 10.13334/j.0258-8013.pcsee.2014.07.012, PP. 1103-1112

Keywords: 电力系统大停电,连锁故障,潮流转移,静态安全域,OPA大停电模型,关键线路辨识

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Abstract:

电力系统存在的少数关键线路在导致系统大规模连锁故障发生的过程中起关键作用,因此快速识别电力网络中关键的输电线路,特别是连锁故障过程中系统的关键线路,对有效实施过负荷连锁跳闸控制策略,预防电力系统大面积停电有着重要的意义。大停电事故一般伴随着线路有功潮流的大规模转移,针对此特征,提出潮流转移度指标,基于电力系统静态安全域分析的思想建立关键线路评估模型,提出一种电力系统连锁故障过程中关键线路的辨识方法。结合IEEE30节点标准算例系统,利用OPA大停电模型构造了某次连锁故障过程,仿真验证了所提辨识方法的正确性。

References

[1]  US-Canada Power System Outage Task Force.Final report on the August 14, 2003 blackout in the United States and Canada:causes and recommendation[R/OL].Canada, 2004.https://reports.energy.gov/.
[2]  Enquiry Committee.Report of the enquiry committee on grid disturbance in Northern Region on 30th July 2012 and in Northern, Eastern & North-Eastern Region on 31st July 2012[R/OL].New Delhi, 2012.http://www. powermin.nic.in/pdf/GRID_ENQ_REP_16_8_12.pdf.
[3]  石立宝, 史中英, 姚良忠, 等.现代电力系统连锁性大停电事故机理研究综述[J].电网技术, 2010, 34(3):48-54.Shi Libao, Shi Zhongying, Yao Liangzhong, et al.A review of mechanism of large cascading failure blackouts of modern power system[J].Power System Technology.2010, 34(3):48-54(in Chinese).
[4]  Liu Kun, Dong Xinzhou, Wang Bin, et al.Research on the process of power flow transferring and its identification method[C]//Advanced Power System Automation and Protection (APAP).Beijing:Chinese Society for Electrical Engineering, 2011:2354-2360.
[5]  David C, Elizondo J, Ree D L.Analysis of hidden failures of protection schemes in large interconnected power systems[J].Proceedings of the IEEE, 2005, 93(5):956-964.
[6]  Kinney R, Crucitti P, Albert R, et al.Modeling cascading failures in the North American power grid[J].European Physical Journal B:Condensed Matter, 2005, 46(1):101-107.
[7]  Re'ka Albert, Istva'n Albert, Nakarado G L.Structural vulnerability of the North American power grid[J].Physical Review E, 2004, 69(2):025103.
[8]  闫常友, 周孝信, 康建东, 等.潮流转移灵敏度以及安全评估指标研究[J].中国电机工程学报, 2010, 30(19):7-13.Yan Changyou, Zhou Xiaoxin, Kang Jiandong, et al.Flow transferring sensitivity and security index analysis[J].Proceedings of the CSEE, 2010, 30(19):7-13(in Chinese).
[9]  Ni M, Mccalley J D, Vittal V, et al.Online risk-based security assessment[J].IEEE Trans. on Power Systems, 2003, 18(1):258-265.
[10]  杨文辉, 毕天姝, 黄少锋, 等.基于电网生存性评估的关键线路识别方法[J].中国电机工程学报, 2011, 31(7):29-35.Yang Wenhui, Bi Tianshu, Huang Shaofeng, et al.An approach for critical lines identification based on the survivability of power grid[J].Proceedings of the CSEE.2011, 31(7):29-35(in Chinese).
[11]  余兴祥, 刘友波等, 考虑潮流转移结构特征的输电线路脆弱度在线评估[J].电力科学与技术学报, 2011, 26(4):80-87.Yu Xingxiang, Liu Youbo, et al.On-line assessment for transmission line vulnerability with structure characteristics of power flow transfer considering[J].Journal of Electric Power Science And Technology, 2011, 26(4):80-87(in Chinese).
[12]  Salmeron J, Wood K, Baldick R.Analysis of electric grid security under terrorist threat[J].IEEE Trans. on Power Systems, 2004, 19(2):905-912.
[13]  Watts D J, Strogatz S H.Collective dynamics of “small-world” networks[J].Nature, 1998, 393(6684):440-442.
[14]  Barabasi A L, Albert R.Emergence of scaling in random networks[J].Science, 1999, 286(5439):509-512.
[15]  丁明, 韩平平.基于小世界拓扑模型的大型电网脆弱性评估算法[J].电力系统自动化, 2006, 30(8):7-10, 40.Ding Ming, Han Pingping, Small-world topological model based vulnerability assessment algorithm for large-scale power grid[J].Automation of Electric Power Systems, 2006, 30(8):7-10, 40(in Chinese).
[16]  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(in Chinese).
[17]  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, 31.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, 31(in Chinese).
[18]  沈瑞寒, 刘涤尘, 等.基于加权网络模型的电网潮流转移下危险线路识别[J].电网技术, 2012, 36(5):245-250.Shen Ruihan, Liu Dichen, et al.Weighted network model based recognition of dangerous lines under power flow transferring[J].Power System Technology, 2012, 36(5):245-250(in Chinese).
[19]  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(in Chinese).
[20]  薛毅.最优化原理与方法[M].北京:北京工业大学出版社, 2001:36-98, 269-286.Xue Yi.Optimization theory and methods[M].Beijing:Beijing University of Technology Press, 2009:36-98, 269-286(in Chinese).
[21]  徐伟宣, 何建秋, 邹庆云.目标函数带绝对值号的特殊非线性规划问题[J].优选与管理科学, 1987, (3):9-13.Xu Weixuan, He jianQiu, Zou QingYun.Special nonlinear programming problem with absolute value of the objective function[J].Chinese Journal of Management Science, 1987, (3):9-13(in Chinese).
[22]  Pemaio, J A, Fischl R.Fast identification of the steady-state security regions for power system security enhancement[C]//Text of "A" papers from IEEE Winter Power Meeting.New York:IEEE Power Engineering Society, 1976:A.76076-0.
[23]  Wu F Felix, Kumagai S, Steady-State security regions of power system[J].IEEE Trans. on Circuits and Systems.1982, 29(11):703-711.
[24]  李玉, 朱继忠, 秦翼鸿, 等.N及N-l静态安全域研究[J].中国电力工程学报, 1993, 13(2):49-54.Li Yu, Zhu Jizhong, Qin Yihong, et al.Study on N and N-1 steady-state security regions[J].Proceedings of the CSEE.1993, 13(2):49-54(in Chinese).
[25]  Carreras B A, Lynch V E, Dbson I, et al.Modeling blackout dynamics in power transmission networks with simple structure[C]//Proceedings of the 34th Annual Hawaii International Conference on System Sciences.Hawaii:IEEE Computer Society, 2001:719-727.
[26]  梅生伟, 薛安成, 张雪敏.电力系统自组织临界特性与大电网安全[M].北京:清华大学出版社, 2009:114-143.Mei Shengwei, Xue Ancheng, Zhang Xuemin.The self-organized criticality and security of lager power system[M].Beijing:Tsinghua University Press, 2009:114-143(in Chinese).

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