Time-Varying Optimization and Real-Time Optimal Power Flow

Future power grids will incorporate a large number of distributed energy resources, which motivates research on real-time online algorithms that optimally control large networked systems. This poster introduces two algorithms for the real-time control of time-varying physical systems, based on recent development in time-varying optimization. The two algorithms take advantage of real-time feedback measurements of the system, are computationally efficient, and are theoretically guaranteed to have bounded suboptimality under certain conditions. The two algorithms can be applied to the real-time optimal power flow problem and have been verified by simulations to achieve satisfactory performance.