文献类型：期刊文献

英文题名：Risk-constrained design of autonomous hybrid refueling station for hydrogen and electric vehicles using information gap decision theory

作者：Sriyakul, Thanaporn[1];Jermsittiparsert, Kittisak[2,3,4]

第一作者：Sriyakul, Thanaporn

通讯作者：Jermsittiparsert, K[1]

机构：[1]Mahanakorn Univ Technol, Fac Business Adm, Bangkok 10530, Thailand;[2]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[3]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang 550000, Vietnam;[4]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Mahanakorn Univ Technol, Fac Business Adm, Bangkok 10530, Thailand

通讯机构：[1]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：46

期号：2

起止页码：1682-1693

外文期刊名：INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

收录：;EI(收录号：20204709522200);Scopus(收录号：2-s2.0-85096367327);WOS:【SCI-EXPANDED(收录号:WOS:000605472400002)】；

语种：英文

外文关键词：Autonomous charging station; Hydrogen and electric vehicle; Fuel cell; IGDT; Risk-averse; Risk-seeker

摘要：The proposed autonomous hybrid charging station in this paper is energized by a photovoltaic (PV) system, which should provide electric vehicles (EVs), and water electrolyzer (WE) with electricity. The WE operates by using electricity to produce and store hydrogen to feed hydrogen vehicles (HVs). Moreover, a fuel cell (FC) is allocated to the system, which uses the stored hydrogen to regenerate electricity the PV system is beyond reach. A supplementary diesel generator is also installed in the charging station to avoid power shortage as a conservative measurement. The hydrogen and electric demand of the station is accompanied by uncertainties, which should be taken into account in designing the charging station. Therefore, information-gap decision theory (IGDT) is employed to deal with the uncertainties. This approach provides the investor with three different strategies of risk-averse strategy (RAS), risk-neutral strategy (RNS), and risk-seeker strategy (RSS), which can help the investor with making a better decision. The outcome of the simulation proved that in RAS if the investor decides to invest 13.9% more capital, based on the robustness function, the charging station withstands the 9.6% deviation of uncertain parameters' fraction error. However, should the investor decide to take risks in the construction of the charging station, by paying 13.9% less, the system is 10.7% fragile to the information-gap of uncertainties. Besides, the rated power of the PV system reaches from 1612 kW in RNS to 1731 kW in RAS while it decreased to 1479 kW in RSS. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.