  The paper proposes an optimal management strategy for a Smart Port equipped
with renewable generation and composed by an electrified quay, operating
Cold-Ironing, and a Hydrogen-based quay, supplying Zero-Emission Ships. One
Battery Energy Storage System and one Hydrogen Energy Storage System are used
to manage renewable energy sources and to supply electric and hydrogen-fueled
ships. A model predictive control based algorithm is designed to define the
best economic strategy to be followed during operations. The control algorithm
takes into account the uncertainties of renewable energy generation using
stochastic optimization. The performance of the approach is tested on a
potential future Smart Port equipped with wind and photovoltaic generation.
