Analysis of Vulnerability indices of power grid integrated DG units based on Complex Network theory

The application of Complex Networks have significantly advanced in the last decade and brought about valuable insights to properties of real world systems by evaluating their structure, topology and construction. Similarly here an electric power network is considered as a complex network where its buses are the nodes and edges are the links of a complex network graph respectively. Power grid Vulnerability with Distributed Generation (DG) is investigated in this paper by evaluation of topological indices for structural vulnerability analysis. The efficacy of graph theory or complex network theory is based upon a combination of power flows and scale free graphs that makes it possible to analyze the risk scenarios according to those events which may result in cascading failures in a large power system. Here a MATLAB simulation is conducted to realize two vulnerability indices for vulnerability assessment of the standard IEEE 57 bus system which is supported by overall grid characteristics.

[1]  Zhao Yang Dong,et al.  Complex network theory based power grid vulnerability assessment from past to future , 2012 .

[2]  Chao Chen,et al.  Robustness of deterministic hierarchical networks against cascading failures , 2011, 2011 International Conference on Electrical and Control Engineering.

[3]  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).

[4]  Albert-László Barabási,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[5]  Haibo He,et al.  Supplementary File : Revealing Cascading Failure Vulnerability in Power Grids using Risk-Graph , 2013 .

[6]  Massimo Marchiori,et al.  How the science of complex networks can help developing strategies against terrorism , 2004 .

[7]  Liang Zhang,et al.  A New Cascading Model on Scale-Free Network with Tunable Parameter , 2008, 2008 First International Conference on Intelligent Networks and Intelligent Systems.

[8]  Gary W. Chang,et al.  Power System Analysis , 1994 .

[9]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[10]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[11]  Gerard Ledwich,et al.  An Algebraic Approach for Determination of DG Parameters to Support Voltage Profiles in Radial Distribution Networks , 2014, IEEE Transactions on Smart Grid.

[12]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

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