Study on Blackout Model for Power Grid Growth Process

Abstract:

In this paper a blackout AC power flow model considering the probability of line stoppage in the process of power grid growth is given,and the self-organized critical state in the process of power grid growth is studied with the power grid upgrade rate is equal、greater or less than the load growth rate.Simulation results show that power grid upgrading rate must meet the system's load growth, or the probability of failure will be greatly increased with the grid exceed the critical state while the load growth faster than the grid upgrading in the long process of building the power grid. The model and simulation results presented in this paper provide a theoretical basis for the planning and construction of the power grid.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 902-908
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.902
• Online since: December 2014
• Authors: Qun Yu, Yi Ma, Min Zhang, Liang Shi
• Keywords: Ac Power Flow, Blackouts Model, Self-Organized Criticality

References

[1] Jianbo Guo, Qun Yu, Qing He: Study on power system complexity theory(Science Press, Beijing, 2012).

[2] Libao Shi, Zhongying Shi, ZhongLiang Yao: A Review of Mechanism of Large Cascading Failure Blackouts of Modern Power System[J]. Power System Technology, 2010, 34(3): 48-55(in Chinese).

[3] P. Bak, How Nature Works: The Science of Self-organized Criticality[M], Copernicus books, (1996).

[4] Yijia Cao , Quanyuan Jiang , Lijie Ding. Self-organized criticality phenomenon for power system blackouts[J]. Power System Technology, 2005, 29(15): 1-5(in Chinese).

[5] Qun Yu, Jianbo Guo: Statistics and Self-organized Criticality Characters of Blackouts in China Electric Power System[J]. Automation of Electric Power Systems, 2006, 30(2), 16-21(in Chinese).

[6] B.A. Carreras,D. E. Newman, I. Dobson, A. B. Poole, Initial evidence for self-organized criticality in electric power blackouts, 33rd Hawaii International Conference on System Sciences, Maui, Hawaii, Jan. (2000).

DOI: 10.1109/hicss.2000.926768

[7] J. Chen, J.S. Thorp, M. Parashar, Analysis of electric power system disturbance data, Thirty-fourth Hawaii International Conference on System Sciences, Maui, Hawaii, January (2001).

DOI: 10.1109/hicss.2001.926277

[8] B.A. Carreras, D.E. Newman, I. Dobson, A.B. Poole, Evidence for self organized criticality in electric power system blackouts, Thirty-fourth Hawaii International Conference on System Sciences, Maui, Hawaii, January (2001).

DOI: 10.1109/hicss.2001.926273

[9] B.A. Carreras, D.E. Newman, I. Dobson A.B. Poole, Evidence for self organized criticality in electric power system blackouts, IEEE Transactions on Circuits and Systems, part I, vol. 51, no. 9, Sept. 2004, pp.1733-1740.

DOI: 10.1109/tcsi.2004.834513

[10] Shengwei Mei, Xiaofeng Weng , Ancheng Xue: Blackout Model Based on OPF and Its Self- organized Criticality[J]. Automation of Electric Power Systems, 2006，30(13)：1-5(in Chinese).

DOI: 10.1109/ipec.2005.207006

[11] Gang Wang, Shengwei Mei, Wei Hu: Blackout Model with Reactive Power and Voltage and Its Self-organized Criticality[J]. Automation of Electric Power Systems, 2007，31(1)：9-13(in Chinese).

[12] Shengwei Mei , Fei He, Xuemin Zhang, Deming Xia: An Improved OPA Model and the Evaluation of Blackout Risk[J]. Automation of Electric Power Systems, 2008，32(13)：1-5(in Chinese).

DOI: 10.1109/tpwrs.2009.2016521

[13] Jun Yi, Xiaoxin Zhou, Yunan Xiao : Analysis on Cascading Failures in Several Chinese Regional Power Grids with Different Network Characteristics[J]. Automation of Electric Power Systems, 2007, 31(10): 1-5(in Chinese).

[14] Qing He, Jianbo Guo: Control Rules Effect Based on Sand Pile Model[J]. Automation of Electric Power Systems, 2010, 34(3): 1-5(in Chinese).

[15] Qun Yu, Na Cao, Jianbo Guo: Analysis on Influence of Load Rate on Power System Self-organized Criticality[J]. Automation of Electric Power Systems, 2012, 36(1), 24-27(in Chinese).

[16] Yuanzhang Sun, Lin Cheng, Jian He: Reliability theory of power system(Tsinghua University Press, 2012).