DocumentCode :
3309249
Title :
Analyzing smart power grid and SCADA network robustness using the node degree distribution and algebraic connectivity under vulnerability and WMD attacks
Author :
Chopade, Pravin ; Bikdash, Marwan
Author_Institution :
Comput. Sci. & Eng., North Carolina A&T State Univ., Greensboro, NC, USA
fYear :
2012
fDate :
13-15 Nov. 2012
Firstpage :
365
Lastpage :
372
Abstract :
We discuss the robustness of large networks such as Smart Power Grid and Supervisory Control and Data Acquisition (SCADA) network. We put forward mathematical models of robustness that reflect power network dynamics and the Laplacian of the network. We used nodal degree distributions, algebraic connectivity, and Fiedler eigenvalue parameters for analyzing the robustness of real world power grid network. We also discussed the performance of Western Electric Coordinating Council (WECC) US grid under Weapons of mass destruction (WMD) attacks.
Keywords :
SCADA systems; mathematical analysis; smart power grids; Fiedler eigenvalue parameters; SCADA; US grid; algebraic connectivity; mathematical models; nodal degree distributions; node degree distribution; power network dynamics; real world power grid network; smart power grid; supervisory control and data acquisition network; weapons of mass destruction attacks; western electric coordinating council; Eigenvalues and eigenfunctions; Laplace equations; Network topology; Probability density function; Robustness; Smart grids; Terrorism; Fiedler eigenvalue; Laplacian; Robustness; SCADA; Smart Grid; WMD attack; algebraic connectivity; degree distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Homeland Security (HST), 2012 IEEE Conference on Technologies for
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4673-2708-4
Type :
conf
DOI :
10.1109/THS.2012.6459876
Filename :
6459876
Link To Document :
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