Vulnerability analysis of smart grid based on complex network theory

Smart grid has been widely acknowledged around the world. The rapid development of complex network theory provides a new perception into the research of smart grid. Based on the latest progress in the field of complex network theory, smart grid can be treated as small world networks. This paper examines the tolerance of smart grid against attacks to analyze its vulnerability, and proposes a technique to study the relationship between the electric betweenness and the reliability of smart grid. Based on these researches, the specific concept of vulnerability investigation to indicate smart grid is clarified. Furthermore, the proposed method will be investigated by an IEEE test system in contrast with the result from actual concept in power grid to indicate its effectiveness.

[1]  L. Ferrarini,et al.  Reliability Analysis of Power System Based on Generalized Stochastic Petri Nets , 2008, Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems.

[2]  Zhe Chen,et al.  Vulnerability evaluation of power system integrated with large-scale distributed generation based on complex network theory , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[3]  Nasir Ghani,et al.  Stochastic Analysis of Cascading-Failure Dynamics in Power Grids , 2014, IEEE Transactions on Power Systems.

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

[5]  Matthieu De Beule,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 1999 .

[6]  Huan Zhou,et al.  Vulnerability Assessment of Power Grid Based on Complex Network Theory , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

[7]  A. Rbnyi.  ON THE EVOLUTION OF RANDOM GRAPHS , 2001 .

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

[9]  Weiguo Gong,et al.  Identification of vulnerable lines in power grid based on complex network theory , 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).

[10]  Yu Yi-xin.  Technical Composition of Smart Grid and its Implementation Sequence , 2009 .

[11]  Lin Xu,et al.  Equivalent Admittance Small-World Model for Power System - II. Electric Betweenness and Vulnerable Line Identification , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.

[12]  Qian Ai,et al.  Research on smart grid in China , 2009, 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific.

[13]  Li Fu,et al.  Vulnerability Assessment for Power Grid Based on Small-world Topological Model , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[14]  Jie Wu,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .

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

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

[17]  Jin Cao,et al.  Power Grid Vulnerability Identifying Based on Complex Network Theory , 2012, 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control.