My research group proposes solutions at the circuit level (hardware) and the system level (models and algorithms) targeted to realize a future power system that is sustainable, customized to local needs, and resilient to natural disasters. The overarching goal is to fashion technical solutions that respect shrinking time-scales in control, dispatch, scheduling, and planning tasks as we embrace the rapid transition to a renewable-dominated infrastructure that is more agile in actuation and distributed in form and function. Research activities in my group span the broad spectrum of mathematical analysis, algorithm synthesis, computer simulations, and laboratory prototype development.


Power systems of the future will have different spatio-temporal characteristics. Time scales governing operations and control will shrink, and energy-conversion interfaces will be distributed in form and function given the spatial spread of renewables. Research in my group is predominantly centered on control and dispatch problems (sub-second to second) for systems with many inverters.


Current Sponsored Research Projects

  1. Department of Energy, ARPA-e NODES: "Real-time Optimization and Control of Next-generation Distribution Infrastructure," 2016-2019.
  2. Department of Energy, SunShot Program, "Stabilizing the Power System in 2035 and Beyond: Evolving from Grid-Following to Grid-Forming Distributed Inverter Controllers," 2016-2019.
  3. National Science Foundation, "Virtual Oscillator Control for Microgrids," 2015-2018.
  4. National Science Foundation, "CAREER: Modeling, Analysis, and Control of Low-inertia Microgrids," 2015-2020.
  5. National Science Foundation, "CyberSEES: Type 2: Collaborative Research: Tenable Power Distribution Networks," 2014-2017.

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