Smart Grid Seminar

The design, control, and operation of the power grid, probably the
largest and most expansive system ever engineered, require the solving
of optimization problems over the steady-state power flow equations.
The resulting mixed nonconvex programs are often computationally
challenging and increasingly so with the increased stochasticity in
generation and load.

This talk presents a number of advances in approximating and relaxing
the power flow equations to address emerging applications in power
systems, including large-scale power restoration after blackouts, the
design of resilient networks, and the integration of renewable
generation. Extensive computational results demonstrate some of the
benefits of the proposed techniques.

(Joint work with Carleton Coffrin and Hassan Hijazi)