Inclusion of Battery SoH Estimation in Smart Distribution Planning with Energy Storage Systems

This study proposes an integrated framework for planning energy storage systems in smart distribution grids, incorporating a neural network-based State of Health (SoH) estimator for lithium-ion batteries. The proposed approach accounts for battery degradation when determining the optimal capacity, location, installation year, and replacement of energy storage systems, improving long-term distribution planning and operational decisions.