Izenburua
Development and Comparison of Rule- and Machine Learning-Based EMS for HESS Providing Grid ServicesBeste instituzio
Vrije Universiteit Brussel (VUB)Bertsioa
Bertsio argitaratua
Eskubideak
© 2024 The AuthorsSarbidea
Sarbide irekiaArgitaratzailearen bertsioa
https://doi.org/10.1109/ACCESS.2024.3381864Non argitaratua
IEEE Access Vol. 12Argitaratzailea
IEEEGako-hitzak
Energy management systemhybrid energy storage system
machine learning
stationary storage system
Laburpena
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high- ... [+]
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics, to provide grid-supporting services. The aim of the MLBEMS is to improve the overall battery lifetime and achieve state-of-charge (SoC) balancing for two different use cases (UC). UC1 involves enhanced frequency regulation for the Pan-European grid, while UC2 pertains to an electric vehicle (EV) charging station with photovoltaic (PV) generation. The designed MLBEMS is compared with a rule-based energy management system (RBEMS) from the literature with similar use cases. To ensure optimal power sharing between the battery modules, an optimization model is created using real battery aging data. Using a genetic algorithm, optimal power sharing is achieved for various initial SoC conditions. The generated dataset is subsequently utilized to train a machine-learning regression model, and the resulting prediction function is imported into MATLAB/Simulink. In UC1, MLBEMS achieved a 39.3% better SoC balancing compared to RBEMS, along with 36.5% and 22.6% higher battery lifetimes for HE and HP batteries, respectively. Similarly, for UC2, MLBEMS achieved a 68.5% improvement in SoC balancing, along with 53.6% and 45.8% higher battery lifetimes for HE and HP batteries, respectively. [-]
Finantzatzailea
European CommissionPrograma
H2020Zenbakia
963527Laguntzaren URIa
https://doi.org/10.3030/963527Proiektua
Interoperable, modular and smart hybrid energy storage system for stationary application (ISTORMY)Bildumak
Item honek honako baimen-fitxategi hauek dauzka asoziatuta: