Comparison of Battery Models Integrating Energy Efficiency and Aging for the Design of Microgrids

Corentin Boennec (1) , Lucas Albuquerque (2) , Bruno Sareni (2) , Fabien Lacressonnière (2) , Sandra Ulrich Ngueveu (3, 1)

1 LAPLACE - LAboratoire PLasma et Conversion d'Energie
2 LAPLACE-GENESYS - Groupe ENergie Electrique et SYStémique
3 LAAS-ROC - Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes

The robust design of microgrids based on optimization methods is a challenging process which usually requires multiple system simulations and implies the use of suitable models ensuring a good compromise between complexity and accuracy. These models also have to include the main couplings within systems, which have a major impact on design criteria and constraints. In this paper, we particularly illustrate this context with regard to the choice of battery models integrating energy efficiency and aging for the design of microgrids. Using a simple case study, we demonstrate the importance of taking into account battery capacity loss due to aging to accurately assess the microgrid's self-sufficiency and cost over its lifetime.

Mots clés: Integrated optimal design; battery storage; aging; microgrids; robust design

Domaines: Energie électrique; Optimisation et contrôle [math.OC]

Corentin Boennec, Lucas Albuquerque, Bruno Sareni, Fabien Lacressonnière, Sandra Ulrich Ngueveu. Comparison of Battery Models Integrating Energy Efficiency and Aging for the Design of Microgrids. Smart Grids and Sustainable Energy, 2023, 9, pp.1. ⟨10.1007/s40866-023-00174-1⟩. ⟨hal-04369844⟩