# Towards Online Optimization for Power Grids

arXiv: https://arxiv.org/abs/2109.12510 · HTML: https://mlsanity.com/paper/2109.12510/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Sep 2021.

## Built on by (most cited first, 1 of 1)

- [Online Decision Making for Trading Wind Energy](https://mlsanity.com/paper/2209.02009/) (2022)

## Abstract (arXiv)

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.