RT Journal Article
T1 Optimal battery sizing considering degradation for renewable energy integration
A1 De-la-Torre-Fazio, Sebastián Bienvenido
A1 González-González, José Manuel
A1 Aguado-Sánchez, José Antonio
A1 Martín-Rivas, Sebastián
K1 Aprendizaje automático (Inteligencia artificial)
K1 Baterías de acumuladores
AB The problem of sizing an electrochemical energy storage system for renewable energy integration is a complex task. There are several system input parameters that must be taken into account for a correct design. Among them, the ageing characteristic of the technology, the service that the system provides, i.e. the power profile that the system faces and the desired C-rate are considered. A simple solution for this problem is not available in the literature. This study presents a simple yet robust optimisation-based model for renewable energy integration. The model explicitly takes into account the intrinsic battery ageing process. The authors propose a formulation for the optimisation problem that can be written in terms of just one continuous variable, namely, the amount of energy that the battery is able to store (battery size); using the proposed procedure, solving the problem obtained is a relatively straightforward task. Results are first discussed using an illustrative example and later extended to two real case studies.
PB Institution of Engineering and Technology (IET)
YR 2019
FD 2019-01-17
LK https://hdl.handle.net/10630/36369
UL https://hdl.handle.net/10630/36369
LA eng
NO de la Torre, S., González-González, J.M., Aguado, J.A. and Martín, S. (2019), Optimal battery sizing considering degradation for renewable energy integration. IET Renewable Power Generation, 13: 572-577. https://doi.org/10.1049/iet-rpg.2018.5489
NO This work has been partially funded by project ENE2016-80638-R granted by Ministerio de Economía y Competitividad of the Governement of Spain.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026