Quantitative Dependability  Modeling of  Smart  Grids  with  Consideration  of Cyber-Physical Interdependencies

Dr. Sedigh Project Image

S.  Sedigh Sarvestani (sedighs@mst.edu), K. Marashi, and A. R. Hurson

Dept. of Education; Dept. of Transportation; Intelligent  Systems  Center (Missouri S&T); Center  for Infrastructure Engineering  Studies  (Missouri S&T); IntelliSpeak,  LLC

This research seeks to facilitate analysis of the reliability and survivability achieved by smart grids.  To this  end,  we have proposed  an analytical reliability  model and  a survivability analysis  method  that capture  the  effect of impairments originating  from both  physical and  cyber components,  as well as the  effect of cyber-physical  interdependencies among these components.   We investigate the  use of simulation-based fault  injection  to instantiate the  model with failure data.   We aim to categorize  and quantify  dependencies in the  smart  grid and analyze the  impact  on reliability  of introducing additional interdependencies.  A pending  case study  investigates  the  effect of physical  and  cyber improvements on overall  reliability  of the  smart  grid, and  demonstrates that flawed cyber infrastructure can  result  in lower reliability  than  that of a conventional  power grid with less advanced  control.  Additional detail on the project is available at  web.mst.edu/~sendecomp


  1. Quantitative reliability modeling of smart grids with consideration of cyber-physical interdependencies,” K. Marashi and S. Sedigh, IEEE Trans. Reliability, 2016, under review.
  2. “Survivability evaluation and importance analysis for complex networked systems,” M. Woodard,   K.  Marashi, and S. Sedigh, IEEE Trans. Network Science and Engineering, 2016, under review.
  3. Quantification and analysis of interdependency in cyber-physical systems,” K. Marashi, S. Sedigh, and A. R. Hurson, in Proc. of the 3rd Int.  Workshop on Reliability and Security Aspects for Critical Infrastructure Protection (ReSA4CI ’16), (Toulouse, France), pp.  149–154, June 2016.
  4. Towards   comprehensive modeling of reliability for smart grids: Requirements and challenges,”K.  Marashi and S. Sedigh, in Proc. of the 15th IEEE Int.  High Assurance Syst. Eng. Sym- posium (HASE ’14), (Miami, FL), pp. 105–112, January 2014.