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| Power System Vulnerability Assessment Based on Transient Energy Margin |
| Lu Jinling, Zhu Yongli |
| North China Electric Power University Baoding 071003 China |
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Abstract Losing transient stability is an important aspect leading to a disastrous accident in a power system, so analysing power system vulnerability from the viewpoint of transient stability is indispensable. The vulnerability level of a system is often affected by weather condition, load demand level and random faults in the system, so these uncertain factors must be reasonably considered. In this paper, contingent faults’ probability models taking the weather factor into account are set up, and the idea of evaluating a power system’s vulnerability based on the system’s transient energy margin is proposed. In order to avoid a serious fault of smaller occurring probability is ignored, the idea of using both probability index and energy margin index to evaluate a system’s vulnerability is put forward. The formula to calculate the energy margin index of a fault is defined based on the transient energy function, which can reflect the influence of load demand change to the system's vulnerability. The weak components in the system can be found by means of energy margin indices relating to faults. Moreover, based on probability theory and Norm theory, the models to calculate compositive probability index and energy margin index of power system are derived. The models’ parameters are probability indices and energy margin indices of all possible faults in the system. Based on the models, an assessing algorithm for a power system vulnerability is proposed. By doing vulnerability analysis of an example power network, the feasibility and effectiveness of the above proposed models and assessing algorithm is proved.
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Received: 18 January 2009
Published: 04 March 2014
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[1] Taylor C W, Erickson D C. Recording and analyzing the July 2 cascading outage[J]. IEEE Computer Applications in Power, 1999(1): 26-30.
[2] Taylor C W. Improving GRID behavior[J]. IEEE Spectrum, 1999, 18(6): 40-45.
[3] Afouad A, Qin Zhou, Vittalv V. System vulnerability as a concept to assess power system dynamic security[J]. IEEE Trans. on Power Systems, 1994, 9(2): 1009- 1015.
[4] 陈为化, 江全元, 曹一家, 等. 基于风险理论的复杂电力系统脆弱性评估[J]. 电网技术, 2005, 29(4): 12-19.
[5] Qin Zhou, Davidson J. Application of artificial neural networks in power system security and vulnerability assessment[J]. IEEE Trans. on Power Systems, 2002, 9(1): 525-532．
[6] Kamwa I, Béland J, Cnabb D. PMU-based vulnerability assessment using wide-area severity indices and tracking modal analysis[C]. Power Systems Conference and Exposition, Atlanta, USA, 2006.
[7] Yu Xingbin, Singh Chanan. Integrated power system vulnerability analysis considering protection failures[C]. Power Engineering Society General Meeting, IEEE, 2003, 2: 706-711.
[8] Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid[J]. Physical Review E, 2004, 69(2): 025103/1-4.
[9] Zhao L, Park K, Lai Y C. Attack vulnerability of scale-free networks due to cascading breakdown[J]. Physical Review E, 2004, 70(2): 035101/1-4.
[10] 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.
[11] 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.
[12] Mao Anji, Yu Jiaxi, Guo Zhizhong. Electric power grid structural vulnerability assessment[C]. Power Engineering Society General Meeting, Montreal, Canada, 2006.
[13] 刘玉田, 林非. 基于相量测量技术和模糊径向基网络的暂态稳定性预测[J]. 中国电机工程学报, 2000, 20(2): 19-23.
[14] 袁越, 久保川淳司, 佐佐木博司. 考虑暂态稳定约束的可用传输能力计算[J]. 电力系统自动化, 2004, 28(10): 34-39.
[15] 傅书易, 倪以信, 薛禹胜. 直接法稳定分析[M]. 北京：中国电力出版社, 1999.
[16] 郭晓敏, 韩富春. 基于状态空间法的架空输电线路的可靠性评估[J]. 电气技术, 2006(7): 39-41.
[17] Billinon R, Allan R N. Reliability evaluation of power system[M]. 2nd ed. New York: Plenum, 1996.
[18] 郭永基. 电力系统可靠性分析[M]. 北京：清华大学出版社, 2003.
[19] 李文沅, 卢继平.暂态稳定概率评估的蒙特卡罗方 法[J]. 中国电机工程学报, 2005, 25(10): 18-23. |
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2010, Vol. 25 
