Title: Resilient Monitoring and Control of Distribution Networks
Abstract: This talk will focus on the attacker-defender interactions on electricity distribution networks (DNs) that typically have a tree-like topology. Two attack models will be introduced: i) energy theft by a fraction of customers who are fraudulent, and ii) manipulation of distributed energy resources by a strategic adversary. In the first model, the DN operator (defender) chooses the level of investment in technology to improve detection and identification of fraudulent customers. In the second model, the defender responds to the adversary’s action by imposing power control and partial load shedding. The theory of sequential games provides a computational approach to characterize the attacker and defender optimal strategies for both models. Results of this approach will be applied to formulate practical recommendations for the deployment of resilient monitoring and control tools in DNs. Finally, an extension of the proposed modeling and computational framework to resilient water distribution networks will be briefly discussed.
This is joint work with D. Shelar (MIT), L. Sela (MIT), and G. Schwartz (Berkeley).
Biography: Saurabh Amin is an Assistant Professor in the Department of Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT). His research focuses on the design and implementation of high confidence network control algorithms for infrastructure systems. He works on robust diagnostics and control problems that involve using networked systems to facilitate the monitoring and control of large-scale critical infrastructures, including transportation, water and energy distribution systems. He also studies the effect of security attacks and random faults on the survivability of networked systems, and designs incentive-compatible control mechanisms to reduce network risks. Dr. Amin received his Ph.D. in Systems Engineering from the University of California, Berkeley (2011).