Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control

TL;DR

This paper develops a stochastic model predictive control strategy for managing a smart port's renewable energy, hydrogen supply, and electrified quay operations to optimize economic performance amid renewable energy uncertainties.

Contribution

It introduces a novel stochastic model predictive control algorithm tailored for smart port energy and supply management, integrating renewable sources, hydrogen, and electric operations.

Findings

Effective handling of renewable energy uncertainties.

Optimized energy storage and supply strategies.

Potential for zero-emission port operations.

Abstract

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.