Time-Varying Optimization and Real-Time Optimal Power Flow

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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.

  • 1739355
  • 2018
  • CPS-PI Meeting 2018
  • Poster
  • Posters (Sessions 8 & 11)
Submitted by Steven Low on Tue, 01/22/2019 - 18:02