期刊
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
卷 58, 期 2, 页码 2630-2639出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2021.3103924
关键词
Hydrogen; Load management; Load modeling; Roads; Power systems; Vehicles; Routing; Demand response (DR); hydrogen fuel cell vehicles (HFCVs); integrated electric power and hydrogen system (IPHS); Lagrangian relaxation (LR) method
资金
- National Natural Science Foundation of China [U1766205]
- Science& Technology Program of SGCC [5400-202099508A-0-0-00]
This article studies the operation of the integrated electric power and hydrogen system (IPHS) with a focus on the demand response of hydrogen fuel cell vehicles (HFCVs). Through the formulation of a refueling load model, the development of an optimal IPHS operation model, and the use of a Lagrangian relaxation-based method, the researchers found that guiding HFCV refueling properly can lead to decreased overall operational costs.
Hydrogen has shown great potential in the renewable power integration and urban mobility decarbonization like hydrogen fuel cell vehicles (HFCVs). The HFCV refueling as an essential hydrogen load is of great flexibility. Considering the HFCV demand response (DR), this article studies the integrated electric power and hydrogen system (IPHS) operation. First, the HFCV refueling load model is formulated with its routing on the transportation network considered. Second, the optimal IPHS operation model is developed in which the electric power operation, tube-trailer based hydrogen delivery and HFCV refueling are coordinated. Third, a Lagrangian relaxation based method is developed to solve the proposed model efficiently, which corresponds to a price-based DR mechanism for HFCVs. Compared with existing works on IPHS, the influence of transportation networks is delicately analyzed on both HFCV refueling and hydrogen delivery. The case studies have proven the effectiveness of the proposed method and demonstrated that the overall operation cost is decreased via the proper guidance of HFCV refueling. The HFCV DR shows great potential in exploring the synergy of energy and transportation systems.
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