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Behavioral characterization of electric vehicle charging loads in a distribution power grid through modeling of battery chargers

Conference Paper


Download full-text (Open Access)

Abstract


  • Plug-in Electric Vehicle (PEV) is a new atypical

    load in power systems. In future, PEV load will play a significant

    role in the distribution grids. This integrated load into the power

    grid may overload the system components, increase power losses

    and may violate system constraints. Currently, the most common

    method of Electric Vehicle (EV) modeling is to consider the EV

    loads as constant power elements without considering the voltage

    dependency of EV charging system during state of charges

    (SOC). EV load demand cannot be considered as a constant

    power, as modeling as a constant power load will not provide

    accurate information about the behavior of charging system

    during charging process. As several research projects on smart

    grids are now looking into realistic models representing the

    realistic behavior of an EV loads, this paper proposes a

    methodology for modeling of EV charger integrated to an

    electricity grid in order to understand the impacts of EV

    charging load. A charging system was designed to capture the

    EV load behavior and extract the coefficients of the EV ZIP load

    model. A comparative study was carried out with different types

    of load models. The results indicate that the assumptions of load

    demand as a constant power to analysis the effect of PEVs on

    power grid would not be effective in real time application of

    PEVs.

Publication Date


  • 2014

Citation


  • A. Haidar & K. M.. Muttaqi , "Behavioral characterization of electric vehicle charging loads in a distribution power grid through modeling of battery chargers," in Industry Applications Society Annual Meeting, 2014 IEEE, 2014, pp. 1-8.

Scopus Eid


  • 2-s2.0-84924973616

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4520&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3503

Has Global Citation Frequency


Start Page


  • 1

End Page


  • 8

Place Of Publication


  • United States

Abstract


  • Plug-in Electric Vehicle (PEV) is a new atypical

    load in power systems. In future, PEV load will play a significant

    role in the distribution grids. This integrated load into the power

    grid may overload the system components, increase power losses

    and may violate system constraints. Currently, the most common

    method of Electric Vehicle (EV) modeling is to consider the EV

    loads as constant power elements without considering the voltage

    dependency of EV charging system during state of charges

    (SOC). EV load demand cannot be considered as a constant

    power, as modeling as a constant power load will not provide

    accurate information about the behavior of charging system

    during charging process. As several research projects on smart

    grids are now looking into realistic models representing the

    realistic behavior of an EV loads, this paper proposes a

    methodology for modeling of EV charger integrated to an

    electricity grid in order to understand the impacts of EV

    charging load. A charging system was designed to capture the

    EV load behavior and extract the coefficients of the EV ZIP load

    model. A comparative study was carried out with different types

    of load models. The results indicate that the assumptions of load

    demand as a constant power to analysis the effect of PEVs on

    power grid would not be effective in real time application of

    PEVs.

Publication Date


  • 2014

Citation


  • A. Haidar & K. M.. Muttaqi , "Behavioral characterization of electric vehicle charging loads in a distribution power grid through modeling of battery chargers," in Industry Applications Society Annual Meeting, 2014 IEEE, 2014, pp. 1-8.

Scopus Eid


  • 2-s2.0-84924973616

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4520&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3503

Has Global Citation Frequency


Start Page


  • 1

End Page


  • 8

Place Of Publication


  • United States