Modeling, scientific computing and optimal control for renewable energy systems with storage

TL;DR

This paper develops models and optimal control strategies for renewable energy systems with storage, using stochastic simulations and economic optimization to enhance efficiency and reliability.

Contribution

It introduces a comprehensive modeling framework for renewable energy with various storage options and formulates an optimal control problem for efficient system operation.

Findings

Stochastic differential equations effectively model wind and solar power production.

Multiple storage systems improve system flexibility and reliability.

Optimal control strategies enhance efficiency in renewable energy systems.

Abstract

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.