Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation. (arXiv:2202.12416v3 [eess.SP] UPDATED)

Battery energy storage system (BESS) can effec-tively mitigate the
uncertainty of variable renewable generation. Degradation is unpreventable and
hard to model and predict for batteries such as the most popular Lithium-ion
battery (LiB). In this paper, we propose a data driven method to predict the
bat-tery degradation per a given scheduled battery operational pro-file.
Particularly, a neural network based battery degradation (NNBD) model is
proposed to quantify the battery degradation with inputs of major battery
degradation factors. When incorpo-rating the …

arxiv battery energy network neural network scheduling