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    Harmonic Analysis of Electrical Vehicle Fast-charging Station Considered Uncertainty of Load

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    CIRED 2019 - 92.pdf (715.8Kb)
    Paper number
    92
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Hu, Pan, State Grid Hubei Electric Power Research Institute, China
    Hu, Yuchuan, State Grid Hubei Electric Power Research Institute, China
    Ding, Kai, State Grid Hubei Electric Power Research Institute, China
    QIAN, Yimin, State Grid Hubei Electric Power Research Institute, China
    Abstract
    Focusing on the qualitative and quantitative analysis of harmonic issue caused by high integration of electric vehicles, a quick-charging harmonic analysis model considered time series pattern of electrical vehicles station is proposed. By taking charging mode, car type, battery characteristics, and driving habits into consideration, the charge-discharge probability density function (PDF) of electrical in an account of sequence behaviour is put forward. Subsequently, considering the topology of electric vehicles charger, an analytic expression of the electrical vehicles along with the time-series behaviours of load is utilized to establish the harmonic analysis model of electrical vehicles station. The impact of electric vehicles charger on the power harmonic is intensively studied. The results show the topology and number of electric vehicles charger exert a significant impact on harmonic current, and the THD is consistent with the sequence behaviour of load. The typical period and the combination of electric vehicles chargers should be detailed considered at the planning stage to analyze and reduce the harmonic impact of electrical vehicles station.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/271
    http://dx.doi.org/10.34890/498
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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