# 实际电网动态结构脆弱性分析与评估Analysis and Assessment of a Realistic Power Grid’s Dynamic Structure Vulnerability

Abstract: In this paper, the method of complex network theory is used to establish the network model of a realistic power grid. Pajek is used to calculate the characteristic parameters of the power grid, determine the network type of the grid. By removing edges/nodes randomly or purposefully, the structural vulnerability of power grid is analyzed. For the deficiency of the model of the non-direction, unweighted complex power system, the reactance of power grid is used as weighted values to build a weighted network model. The vulnerability of weighted grid model is investigated. It can be found that the average path length and betweenness in weighted network are slightly larger than them in unweighted network model by comparing the characteristic parameter values of complex power network models.

[1] Dobson, I., Chen, J., Carreras, B.A., et al. (2001) Examining Criticality of Blackouts in Power System Models with Cascading Events. Hawaii International Conference on System Science, Hawaii.

[2] Carreras, B.A., Lynch, V.E., Dobson, I., et al. (2002) Dynamics, Criticality and Self-Organization in a Model for Blackouts in Power Transmission Systems. Hawaii International Conference on System Science, Hawaii.
https://doi.org/10.1109/HICSS.2002.993976

[3] Zhou, Q., Davidson, J. and Fouad, A.A. (1994) Application of Artificial Neural Network in Power System Security and Vulnerability Assessment. IEEE Transactions on Power Systems, 9, 525-532.
https://doi.org/10.1109/59.317570

[4] 李蓉蓉, 张晔, 江全元. 复杂电力系统连锁故障风险评估[J]. 电网技术, 2006, 30(10): 18-22.

[5] Wang, K., Zhang, B.H., Zhang, Z., et al. (2011) An Electrical Betweenness Approach for Vulnerability Assessment of Power Grids Considering the Capacity of Generators and Load. Physica A, 390, 4692-4701.
https://doi.org/10.1016/j.physa.2011.07.031

[6] Vaiman, M., Bell, K., Chen, Y., et al. (2012) Risk Assessment of Cascading Outages: Methodologies and Challenges. IEEE Transactions Power Systems, 27, 631-641.
https://doi.org/10.1109/TPWRS.2011.2177868

[7] 史进. 电力系统复杂网络特性分析与模型改进[J]. 中国电机工程学报, 2008, 28(25): 93-98.

[8] 徐立新, 杨建梅, 姚灿中, 王世华. 基于加权网络模型的电网连锁故障分析[J]. 控制理论与应用, 2011, 28(11): 1607-1612.

[9] Watts, D.J. and Strogatz, S.H. (1998) Collective Dynamics of Small World Networks. Nature, 393, 440-442.
https://doi.org/10.1038/30918

[10] Wang, B., Tang, H.W., Guo, C.G., et al. (2006) Entropy Optimization of Scale-Free Network’s Robustness to Random Failures. Physica A, 363, 591-596.
https://doi.org/10.1016/j.physa.2005.08.025

[11] 吴俊, 谭跃进, 郑宏钟, 等. 无标度网络拓扑结构非均匀性研究[J]. 系统工程理论与实践, 2007, 27(5): 101-105.

[12] 林振智, 文福拴. 基于加权复杂网络模型的恢复路径优化方法[J]. 电力系统自动化, 2009, 33(6): 11-15.

[13] 沈瑞寒, 刘涤尘, 赵洁, 廖清芬, 杜振川. 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.

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