I am a Research Scientist and Lecturer in the Department of Mechanical Engineering at MIT. I am interested in understanding the impact of increasing complexity on the operation of the electric power grid - the biggest man-made machine. Though this giant system has worked for more than 100 years, it may abruptly behave unexpectedly under the increasing integration of new components it was not designed to work with, e.g., intermittent renewable sources and moving electric vehicles; and this poses a big challenge in keeping it working reliably and seamlessly. In my research, I ask questions such as: How would the power grid behave under extreme and new conditions? What conditions trigger instabilities and blackouts? What is the best action to prevent blackouts? How to protect the power grid from cyberphysical attacks and disasters? What would a resilient network architecture that can reduce the risk of blackout look like?
Answering these questions can lead to a more reliable, more resilient, and cleaner power grid. To answer them, I focus on creating basic foundations by exploiting the physical grid's structure, relying on domain-specific knowledge, and examining analogies with other fields (even seemingly unrelated, e.g., the brain and material). Also, I draw on tools from, and find ways to push the existing boundaries of, dynamics, control, and optimization.
1. "Reconfigurable microgrid architecture for blackout prevention", under review 2017 [pdf]
This paper introduces a plug-and-play architecture rule and a network reconfiguration scheme for resilient multi-microgrid networks. Unexpectedly, this rule suggests that removing connections from a dense network may favor stability, a phenomenon that is counter-intuitive to the conventional wisdom.
2. "Inverse Stability of Power Systems", IEEE Control Systems Letters (L-CSS), revision submitted 2017 [pdf]
This paper changes the way we think about the stability assessment problem. Instead of estimating the set of initial states leading to a given operating condition, we characterize the set of operating conditions that a power grid converges to from a given initial state under changes in power injections and lines.
3. "Structural Emergency Control Paradigm", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, accepted 2017 [pdf][link]
This new control paradigm changes the way we think about control design. Instead of updating the control input to force the power system state to the desired operating condition, we relocate the operating condition (by adjusting the impedance of some critical lines) to attract the emergency state.
4. "Toward Simulation-free Estimation of Critical Clearing Time", IEEE Trans. Power Systems, accepted 2016 [pdf][link]
This is among the first certificates for power systems transient stability without using any time-domain simulations...
5. "A Framework for Robust Assessment of Power Grid Stability and Resiliency", IEEE Trans. Automatic Control, accepted as a Full Paper, 2016 [pdf][link]
This paper presents robust certificates for the grids' stability w.r.t the fluctuation of power injections, and for the grids' ability to withstand a bunch sources of faults...
6. "Lyapunov Functions Family Approach to Transient Stability Assessment", IEEE Trans. Power Systems, vol. 31, no. 2, pp. 1269-1277, March 2016 [pdf] [link]
This work exploits advanced optimization techniques to significantly reduce conservativeness and computational complexity in the transient stability assessment...