Steven Low: Time-Varying Nonconvex Optimization with Application to OPF

Speaker: Steven Low (Caltech)
Center for Electric Power and Energy (CEE), Department of Electrical Engineering, Technical University of Denmark (DTU), 13 May 2019

Abstract: Optimal power flow (OPF) problems are fundamental for power system operations. They are nonconvex and, in future applications, time-varying. We present a first-order proximal primal-dual algorithm and a second-order algorithm for general time-varying nonconvex optimization and bound their tracking performance. We incorporate real-time feedback in our algorithms for applications to time-varying OPF problems, and illustrate their tracking performance numerically.