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TitleFlow Distribution for Electric Vehicles under Nodal-Centrality-Based Resource Allocation
Creator
Date Issued2020-04-01
Source PublicationIEEE Transactions on Circuits and Systems I: Regular Papers
ISSN1549-8328
Volume67Issue:4Pages:1309-1318
AbstractIn recent years, the popularity of electric vehicles (EVs) has been rapidly expanding, thanks to the government's supportive policies. However, managing EV's en-route re-charge activities under different operation scenarios is still a critical issue, when the EV's limited driving range and long re-charge time are concerned. In this paper, an EV flow distribution problem is formulated for the guidance of EV's re-charge activities. The problem manipulates EV flows directly with the consideration of EV's queuing and re-charge delay at charging stations, which makes it greatly different from the classic problems. To solve the problem effectively, a dedicated flow distribution algorithm (FDA) is devised. Furthermore, based on the centrality properties in the context of complex network science, the interdependence of EV flow distribution and charging resource allocation is investigated. Simulation results show that a proportional allocation of chargers to nodes with high weighted betweenness leads to the most efficient flow distribution. In addition, robustness is introduced to measure the flow distribution solution's endurance under EV drivers' ignorance of guidance. The comparison among centrality-based allocations and an optimization-based allocation reveals that efficiency and robustness are two conflicting properties in flow distribution, dependent on the allocation of charging resources.
Keywordelectric vehicles (EVs) evolutionary algorithms Flow distribution nodal centrality
DOI10.1109/TCSI.2019.2943607
URLView source
Language英语English
Scopus ID2-s2.0-85082793190
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/12172
CollectionResearch outside affiliated institution
Corresponding AuthorBi,Xiaowen
Affiliation
Department of Electronic Engineering,City University of Hong Kong,Hong Kong,Hong Kong
Recommended Citation
GB/T 7714
Bi,Xiaowen,Tang,Wallace K.S. Flow Distribution for Electric Vehicles under Nodal-Centrality-Based Resource Allocation[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67(4): 1309-1318.
APA Bi,Xiaowen, & Tang,Wallace K.S. (2020). Flow Distribution for Electric Vehicles under Nodal-Centrality-Based Resource Allocation. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(4), 1309-1318.
MLA Bi,Xiaowen,et al."Flow Distribution for Electric Vehicles under Nodal-Centrality-Based Resource Allocation". IEEE Transactions on Circuits and Systems I: Regular Papers 67.4(2020): 1309-1318.
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