Title :
Critical infrastructure interdependency modeling: Using graph models to assess the vulnerability of smart power grid and SCADA networks
Author :
Chopade, Pravin ; Bikdash, Marwan
Author_Institution :
Comput. Sci. & Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
We discuss a framework for quantitative vulnerability assessment of critical infrastructure systems. We focus on the smart electric power delivery systems, i.e., electricity transmission and distribution smart grids, along with SCADA and EMS systems. We introduce concepts and results from graph and social network theories, and apply them to the study of the WSCC-Smart Power Grid Network-SCADA-EMS (WSSE) System. We also calculate values of the topological characteristics of the networks and compare their error and attack tolerances, i.e., their performance when vertices are removed, randomly or in a malicious way. Also, we study the possible topology generation models such as the random graph, small-world, and scale-free models. The WSEE system was found to follow the scale-free graph model of social network theory.
Keywords :
SCADA systems; distribution networks; power distribution control; power transmission control; smart power grids; transmission networks; EMS systems; SCADA networks; WSCC-smart power grid network-SCADA-EMS; WSEE system; critical infrastructure interdependency modeling; critical infrastructure systems; distribution smart grids; electricity transmission; graph models; scale-free graph model; smart electric power delivery systems; smart power grid; social network theory; Computational modeling; Energy management; Network topology; SCADA systems; Smart grids; Topology; Graph; Network; SCADA; Smart Grid; Vulnerability;
Conference_Titel :
Emerging Technologies for a Smarter World (CEWIT), 2011 8th International Conference & Expo on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4577-1592-1
Electronic_ISBN :
978-1-4577-1590-7
DOI :
10.1109/CEWIT.2011.6135885