期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 36, 期 5, 页码 4310-4321出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2021.3058561
关键词
Hydrogen; Transportation; Production; Hydrogen storage; Renewable energy sources; Load modeling; Wind farms; Integrated power and hydrogen system; hydrogen transportation; hydrogen tube trailers; ADMM
资金
- National Natural Science Foundation of China [51707146, U1766205, TPWRS-01134-2020]
This paper proposes an optimal operation strategy for the integrated electric power and hydrogen system (IPHS) using hydrogen tube trailers for transportation. The solution method based on the alternating direction method of multipliers (ADMM) coordinates HES and EPS constraints. Case studies verify the validity of the model and confirm the necessity of considering HES in enhancing EPS operation.
The renewable energy-based hydrogen production can lead to the integrated electric power and hydrogen system (IPHS) and offer a pathway to a sustainable energy utilization. Hydrogen is mainly transported via hydrogen tube trailers (HTs), making the hydrogen energy system (HES) operation quite different from those of other energy technologies. This paper proposes an optimal IPHS operation strategy which utilizes HT for transportation. The proposed strategy coordinates hydrogen generation, transportation, and storage stages considering constrained operations of electric power system (EPS), transportation system, and variable renewable energy. The proposed solution method is based on the alternating direction method of multipliers (ADMM) in which HES and EPS constraints are managed individually and the respective solutions are coordinated accordingly. The case studies using the modified IEEE-RTS79 have verified the validity of the proposed IPHS model and its solution method and confirmed the necessity of considering HES in enhancing the EPS operation. The synergies between EPS and HES are studied via numerical examples and the impact of the flexibilities in hydrogen generation, transportation and demand are highlighted.
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