4.6 Article

Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations

Journal

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 58, Issue 2, Pages 2728-2739

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2021.3093841

Keywords

Production; Electrochemical processes; Biomass; Hydrogen; Green products; Fluctuations; Electrolytes; Energy management; hybrid energy system; hydrogen; hydrogen economy; hydrogen filling station (HFS)

Funding

  1. Research Grants Council of the HKSAR Government [R5020-18]
  2. Innovation and Technology Commission of the HKSAR Government [K-BBY1]
  3. National Natural Science Foundation of China [51877072]

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This article proposes a method for multirenewable-to-hydrogen production and develops a capsule network forecasting model and a hierarchical coordinated control strategy to enhance the green H-2 production efficiency for hydrogen fueling stations.
Under the pressure of climate change, the demands for alternative green hydrogen (H-2) production methods have been on the rise to conform to the global trend of transition to a H-2 society. This article proposes a multirenewable-to-hydrogen production method to enhance the green H-2 production efficiency for renewable-dominated hydrogen fueling stations (HFSs). In this method, the aqueous electrolysis of native biomass can be powered by wind and solar generations based on electrochemical effects, and both electrolysis current and temperature are taken into account for facilitating on-site H-2 production and reducing the electricity consumption. Moreover, a capsule network based H-2 demand forecasting model is formulated to estimate the gas load for HFS by extracting the underlying spatial features and temporal dependencies of traffic flows in the transportation network. Furthermore, a hierarchical coordinated control strategy is developed to suppress high fluctuations in electrolysis current caused by volatility of wind and solar outputs based on model predictive control framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas scheme on electrolysis efficiency and economic benefits.

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