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

• Published in: IEEE transactions on industry applications Vol. 58; no. 2; pp. 2728 - 2739
• Main Authors: Zhang, Kuan, Zhou, Bin, Or, Siu Wing, Li, Canbing, Chung, Chi Yung, Voropai, Nikolai
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-03-2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aqueous electrolysis; Biomass; Climate change; Comparative studies; Economic forecasting; Electricity consumption; Electrochemical processes; Electrolysis; Electrolytes; Energy management; Feature extraction; Fluctuations; Green products; hybrid energy system; Hydrogen; hydrogen economy; hydrogen filling station (HFS); Hydrogen production; Predictive control; Production; Production methods; Transportation networks
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2021.3093841

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.