Certifiable, Attack-Resilient Submodular Control Framework for Smart Grid Stability

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Large-scale Cyber-Physical Systems (CPS) must be resilient to natural disturbances and malicious attacks in a timely fashion with certifiable guarantees on safety and stability. These requirements must be satisfied even when the system occupies a large geographical area in which multiple disturbances or attacks may occur simultaneously. This effort aims to research and develop scalable and attack resilient control algorithms for CPS, based on the insight that the physical dynamics of CPS possess inherent structures, such as submodularity and bounded curvature, that can be exploited to develop efficient algorithms with provable optimality guarantees. For concreteness, we ground our approach on ensuring power system stability, although we anticipate that our effort will have broader applications to transportation, social, and biological systems. Within the power domain, we address the challenges of (i) voltage stability, (ii) small-signal stability, and (iii) transient stability, which have been highlighted as key power system stability problems by organizations such as the North American Synchrophasor Initiative (NASPI). 

  • submodularity
  • Smart Grid
  • bounded curvature
  • 1544173
  • 2018
  • CPS-PI Meeting 2018
  • Posters (Sessions 8 & 11)
Submitted by Daniel Kirschen on