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