Improved battery storage systems modeling for predictive energy management applications

No Thumbnail Available
Date
2022
Authors
Ricardo Silva
Gouveia C.
Carvalho L.
Jorge Correia Pereira
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This paper presents a model predictive control (MPC) framework for battery energy storage systems (BESS) management considering models for battery degradation, system efficiency and V-I characteristics. The optimization framework has been tested for microgrids with different renewable generation and load mix considering several operation strategies. A comparison for one-year simulations between the proposed model and a naïve BESS model, show an increase in computation times that still allows the application of the framework for real-time control. Furthermore, a trade-off between financial revenue and reduced BESS degradation was evaluated for the yearly simulation, considering the degradation model proposed. Results show that a conservative BESS usage strategy can have a high impact on the asset's lifetime and on the expected system revenues, depending on factors such as the objective function and the degradation threshold considered. © 2022 IEEE.
Description
Keywords
Citation