Interdependent strategic cyber defense and robust switching control design for wind energy systems

Juntao Chen, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we design a secure, robust and resilient cyber-physical wind energy system (WES) from a cross-layer perspective. We establish a system-of-systems framework for the large-scale wind farm which includes the cyber and physical components. For the cyber layer, we use a game-theoretic model to capture the strategic behaviors of the network defender and the cyber attacker, and compute its mixed strategy Nash equilibria. For the physical layer, we design a robust and resilient switching controller using a Markov jump linear system model. Due to the interdependence between the cyber and physical systems, their performances are coupled and need to be designed in a holistic manner. To address this challenge, we propose an iterative algorithm to study the system-of-systems performance under the equilibrium design which jointly takes the cyber and physical layers into account. Case studies are provided to illustrate the interdependent design principles of cyber-physical WES.

Original languageEnglish (US)
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9781538622124
DOIs
StatePublished - Jan 29 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: Jul 16 2017Jul 20 2017

Other

Other2017 IEEE Power and Energy Society General Meeting, PESGM 2017
CountryUnited States
CityChicago
Period7/16/177/20/17

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ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Chen, J., & Zhu, Q. (2018). Interdependent strategic cyber defense and robust switching control design for wind energy systems. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (Vol. 2018-January, pp. 1-5). IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8274344