Towards Online Optimization for Power Grids
Optimization and Control
2021-09-28 v1
Abstract
In this note, we discuss potential advantages in extending distributed optimization frameworks to enhance support for power grid operators managing an influx of online sequential decisions. First, we review the state-of-the-art distributed optimization frameworks for electric power systems, and explain how distributed algorithms deliver scalable solutions. Next, we introduce key concepts and paradigms for online optimization, and present a distributed online optimization framework highlighting important performance characteristics. Finally, we discuss the connection and difference between offline and online distributed optimization, showcasing the suitability of such optimization techniques for power grid applications.
Cite
@article{arxiv.2109.12510,
title = {Towards Online Optimization for Power Grids},
author = {Deming Yuan and Abhishek Bhardwaj and Ian Petersen and Elizabeth L. Ratnam and Guodong Shi},
journal= {arXiv preprint arXiv:2109.12510},
year = {2021}
}
Comments
7 pages, 3 figures