• DocumentCode
    1800068
  • Title

    Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads

  • Author

    Zhile Yang ; Kang Li ; Qun Niu ; Cheng Zhang ; Foley, Aoife

  • Author_Institution
    Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´s Univ. Belfast, Belfast, UK
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Electric vehicles are a key prospect for future transportation. A large penetration of electric vehicles has the potential to reduce the global fossil fuel consumption and hence the greenhouse gas emissions and air pollution. However, the additional stochastic loads imposed by plug-in electric vehicles will possibly introduce significant changes to existing load profiles. In his paper, electric vehicles loads are integrated into an 5-unit system using a non-convex dynamic dispatch model. The actual infrastructure characteristics including valve-point effects, load balance constrains and transmission loss have been included in the model. Multiple load profiles are comparatively studied and compared in terms of economic and environmental impacts in order o identify patterns to charge properly. The study as expected shows ha off-peak charging is the best scenario with respect to using less fuels and producing less emissions.
  • Keywords
    hybrid electric vehicles; load dispatching; power transmission economics; load balance constrains; multiple load profiles; nonconvex dynamic economic dispatch; nonconvex dynamic environmental dispatch; off-peak charging; plug-in electric vehicle loads; transmission loss; valve-point effects; Batteries; Dynamic scheduling; Economics; Education; Optimization; Power system dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIASG.2014.7011552
  • Filename
    7011552