论文标题
通过随机模型预测控制的透明连接和氢供应的智能端口的最佳管理
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control
论文作者
论文摘要
本文提出了针对配备可再生生成的智能端口的最佳管理策略，并由电气码头，操作的冷水台和基于氢的码头组成，从而提供零发射船。一个电池储能系统和一个氢能储能系统用于管理可再生能源并提供电力和氢气的船只。基于模型预测控制的算法旨在定义操作过程中要遵循的最佳经济策略。控制算法考虑了使用随机优化的可再生能源产生的不确定性。该方法的性能经过了带有风和光伏生成的潜在智能端口的测试。
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.
