Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage
Abstract
Energy arbitrage has the potential to make electric grids more efficient and reliable. Batteries hold great promise for energy storage in arbitrage but can degrade rapidly with use. In this paper, we analyze the impact of storage degradation on the structure of optimal policies in energy arbitrage. We derive properties of the battery degradation response that are sufficient for the existence of optimal threshold policies, which are interpretable and relatively easy to compute. Our experimental results indicate that explicitly considering battery degradation in optimizing energy arbitrage significantly improves solution quality.
Cite
Text
Petrik and Wu. "Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage." Conference on Uncertainty in Artificial Intelligence, 2015.Markdown
[Petrik and Wu. "Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage." Conference on Uncertainty in Artificial Intelligence, 2015.](https://mlanthology.org/uai/2015/petrik2015uai-optimal/)BibTeX
@inproceedings{petrik2015uai-optimal,
title = {{Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage}},
author = {Petrik, Marek and Wu, Xiaojian},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2015},
pages = {692-701},
url = {https://mlanthology.org/uai/2015/petrik2015uai-optimal/}
}