This paper presents models for renewable energy systems with storage, and considers its optimal operation. We model and simulate wind and solar power production using stochastic differential equations as well as storage of the produced power using batteries, thermal storage, and water electrolysis. We formulate an economic optimal control problem, with the scope of controlling the system in the most efficient way, while satisfying the power demand from the electric grid. Deploying multiple storage systems allows flexibility and higher reliability of the renewable energy system.
@article{arxiv.2212.08842,
title = {Modeling, scientific computing and optimal control for renewable energy systems with storage},
author = {Nicola Cantisani and Tobias K. S. Ritschel and Christian A. Thilker and Henrik Madsen and John Bagterp Jørgensen},
journal= {arXiv preprint arXiv:2212.08842},
year = {2022}
}