Dispatching Fuel-cell Hybrid Electric Vehicles Toward Transportation and Energy Systems Integration
作者机构:School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China China Automotive Technology and Research Center Co.Ltd.Tianjin300300China
出 版 物:《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报(英文))
年 卷 期:2023年第9卷第4期
页 面:1540-1550页
核心收录:
学科分类:0711[理学-系统科学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 0703[理学-化学] 0811[工学-控制科学与工程] 0701[理学-数学]
主 题:Fuel-cell hybrid electric vehicle hydrogen,mileage model shortest path search trans-energy systems.
摘 要:With the increasing integration of traditional elec-tric vehicles(EVs),the ensuing congestion and overloading issues have threatened the reliability of power grid operations.Hydrogen has been advocated as a promising energy carrier to achieve low-carbon transportation and energy(trans-energy)systems,which can support the popularization of fuel-cell hybrid EVs(FCHEVs)while enhancing the flexibility of power grids.In this paper,we propose an optimal scheduling framework for trans-energy systems that evaluates the merits of the hydrogen supply chain from water electrolysis,compressed storage and transportation to FCHEV utilization.A detailed FCHEV model is established,and mileage is modeled as a function of the stored electricity and hydrogen mass.A stochastic programming-based scheduling model is formulated,which minimizes the total cost of unit commitment and the hydrogen supply chain.The Dijkstra algorithm is adopted to search the shortest path for hydrogen transportation.Case studies demonstrate that FCHEVs can reduce the operational costs of tran-energy systems and facilitate the accommodation of renewable energy when compared to traditional EVs.Index Terms-Fuel-cell hybrid electric vehicle,hydrogen,mileage model,shortest path search,trans-energy systems.