Energy Transport Station Deployment in Electric Vehicles Energy Internet

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dc.contributor.authorSui, Yu
dc.contributor.authorYi, Ping
dc.contributor.authorLiu, Xin
dc.contributor.authorZhu, Ting
dc.date.accessioned2019-10-18T14:26:21Z
dc.date.available2019-10-18T14:26:21Z
dc.date.issued2019-07-02
dc.description.abstractEnergy Internet allows energy to flow flexibly for transmission and it can transport energy to every energy user via electric vehicles (EVs). The energy that EVs use is produced from renewable energy sources like solar power. However, under bad weather conditions, the power station will stop energy generation and will need to get power transported from other places. One solution is to set up some stations, which usually store excess energy. In special times, the energy stored by these stations can be used to supply electricity to all parts of the city. In this process, the position of the station that provides power should be considered carefully for the sake of reducing energy loss during transportation. The main idea of this paper focuses on how to choose positions for the stations. We put forward the concept of energy transport station (ETS) which can store and output energy, then we propose three algorithms, namely exhausted algorithm, greedy algorithm, and segmentation algorithm, to decide where to place ETSs so that the energy loss can be minimized. The algorithms will be simulated with data of bus route maps of Manhattan and the Pioneer Valley Transit Authority (PVTA), which will show the contrast of each algorithm and find their best application scenariosen_US
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China under Grant 61571290 and Grant 61831007, in part by the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization under Grant U1509219, and in part by the NSF under Grant CNS-1503590en_US
dc.description.urihttps://ieeexplore.ieee.org/document/8753628/authors#authorsen_US
dc.format.extent10 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2jpaf-lfcs
dc.identifier.citationQian Zhang, Yi Zhu, Zhong Wang, Yaojia Su, Chunyan Li, "Reliability Assessment of Distribution Network and Electric Vehicle Considering Quasi-Dynamic Traffic Flow and Vehicle-to-Grid", Access IEEE, vol. 7, pp. 131201-131213, 2019.en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2019.2926408
dc.identifier.urihttp://hdl.handle.net/11603/15906
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectEnergy interneten_US
dc.subjectelectric vehiclesen_US
dc.subjectenergy transmissionen_US
dc.titleEnergy Transport Station Deployment in Electric Vehicles Energy Interneten_US
dc.typeTexten_US

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