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

Francesco Conte; Fabio D'Agostino; Daniele Kaza; Stefano Massucco; Gianluca Natrella; Federico Silvestro

doi:10.1109/PESGM48719.2022.9916817

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

Systems and Control 2022-11-23 v3 Systems and Control

Authors: Francesco Conte , Fabio D'Agostino , Daniele Kaza , Stefano Massucco , Gianluca Natrella , Federico Silvestro

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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.

Keywords

smart port model predictive control stochastic optimization cold-ironing hydrogen energy storage renewable generation

Cite

@article{arxiv.2204.00453,
  title  = {Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control},
  author = {Francesco Conte and Fabio D'Agostino and Daniele Kaza and Stefano Massucco and Gianluca Natrella and Federico Silvestro},
  journal= {arXiv preprint arXiv:2204.00453},
  year   = {2022}
}

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

Abstract

Keywords

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