Identification of vulnerable lines in power grid based on complex network theory

Based on the complex network theory, this paper proposes a weighting parameters based on the voltage and reactance of the transmission lines, and a new method to measure the vulnerability of power grid through the betweenness index. This paper gives a new weight formula and a algorithm to identification of vulnerable lines. The analysis has been carried out on the IEEE5bus system, which confirms the efficacy and practical of the method.

[1]  Massimo Marchiori,et al.  Model for cascading failures in complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[3]  Yang Jingyan,et al.  Vulnerability assessment of bulk power grid based on complex network theory , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[4]  Wang Xi-Fan Et.Al.  Modern Power System Analysis , 2013 .

[5]  Syed Nasar,et al.  Electric Power Systems , 1972 .

[6]  Xinghuo Yu,et al.  Identifying vulnerable lines in a power network using complex network theory , 2009, 2009 IEEE International Symposium on Industrial Electronics.

[7]  Fabio Saccomanno.  Introduction to the Problems of Analysis and Control of Electric Power Systems , 2003 .

[8]  B. Bollobás.  The evolution of random graphs , 1984 .

[9]  Chao Zhang,et al.  Power transmission network vulnerable region identifying based on complex network theory , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[10]  Lu Zongxiang,et al.  Cascading failure analysis of bulk power system using small-world network model , 2005, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[11]  Massimo Marchiori,et al.  A topological analysis of the Italian electric power grid , 2004 .

[12]  R. C. Desai,et al.  Modern power system analysis , 1982, Proceedings of the IEEE.

[13]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[14]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[15]  Ke Sun,et al.  Complex Networks Theory: A New Method of Research in Power Grid , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[16]  Yu Jing.  Study on Identification Method of Power System Brittle Risk Sources , 2010 .

[17]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.