Algorithms comparison for hydrogen storage predictive control on an islanded microgrid
Résumé
This paper presents a comparison of some classical metaheuristic (Particle Swarm Optimsation, Simulated Anneling) and deterministic (Branch & Bound, Pattern Search) algorithms for the optimization of the storage control of a microgrid over a whole year with real data. These algorithms are compared on the relevance of the controls in terms of energy autonomy, power losses and wear of the hydrogen chain as well as on the computational burden for a small embedded controller. This allows to highlight a type of algorithm adapted to a limited time and means of calculation that we find in real conditions. This study also points out the importance of prediction errors and their impacts when controlling real systems.
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