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Energy exchange between electric vehicle load and wind generating utilities

Journal Article


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Abstract


  • This paper proposes a novel approach to energy exchange

    between electric vehicle (EV) load and wind generation utilities

    participating in the day-ahead energy, balancing, and regulation

    markets. An optimal bidding/offering strategy model is developed

    to mitigate wind energy and EV imbalance threats, and optimize

    EV charging profiles. A new strategy model is based on optimizing

    decision making of a wind generating company (WGenCO)

    in selecting the best option among the use of the balancing or regulation

    services, the use of the energy storage system (ESS) and

    the use of all of them to compensate wind power deviation. Energy

    imbalance is discussed using conventional systems, ESS, and

    EV-Wind coordination; results are compared and analyzed. Stochastic

    intra-hour optimization is solved by mixed-integer linear

    programming (MILP). Uncertainties associated with wind forecasting,

    energy price, and behavior of EV owners based on their

    driving patterns, are considered in the proposed stochastic method

    and validated through several case studies.

UOW Authors


  •   Tavakoli, Ahmad (external author)
  •   Negnevitsky, Michael (external author)
  •   Nguyen, Duc Thanh (external author)
  •   Muttaqi, Kashem

Publication Date


  • 2015

Citation


  • A. Tavakoli, M. Negnevitsky, D. Nguyen & K. M. Muttaqi , "Energy exchange between electric vehicle load and wind generating utilities," IEEE Transactions on Power Systems, vol. 31, (2) pp. 1248-1258, 2015.

Scopus Eid


  • 2-s2.0-84928252706

Ro Full-text Url


  • http://ro.uow.edu.au/context/eispapers/article/5934/type/native/viewcontent

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4907

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 1248

End Page


  • 1258

Volume


  • 31

Issue


  • 2

Place Of Publication


  • United States

Abstract


  • This paper proposes a novel approach to energy exchange

    between electric vehicle (EV) load and wind generation utilities

    participating in the day-ahead energy, balancing, and regulation

    markets. An optimal bidding/offering strategy model is developed

    to mitigate wind energy and EV imbalance threats, and optimize

    EV charging profiles. A new strategy model is based on optimizing

    decision making of a wind generating company (WGenCO)

    in selecting the best option among the use of the balancing or regulation

    services, the use of the energy storage system (ESS) and

    the use of all of them to compensate wind power deviation. Energy

    imbalance is discussed using conventional systems, ESS, and

    EV-Wind coordination; results are compared and analyzed. Stochastic

    intra-hour optimization is solved by mixed-integer linear

    programming (MILP). Uncertainties associated with wind forecasting,

    energy price, and behavior of EV owners based on their

    driving patterns, are considered in the proposed stochastic method

    and validated through several case studies.

UOW Authors


  •   Tavakoli, Ahmad (external author)
  •   Negnevitsky, Michael (external author)
  •   Nguyen, Duc Thanh (external author)
  •   Muttaqi, Kashem

Publication Date


  • 2015

Citation


  • A. Tavakoli, M. Negnevitsky, D. Nguyen & K. M. Muttaqi , "Energy exchange between electric vehicle load and wind generating utilities," IEEE Transactions on Power Systems, vol. 31, (2) pp. 1248-1258, 2015.

Scopus Eid


  • 2-s2.0-84928252706

Ro Full-text Url


  • http://ro.uow.edu.au/context/eispapers/article/5934/type/native/viewcontent

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4907

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 1248

End Page


  • 1258

Volume


  • 31

Issue


  • 2

Place Of Publication


  • United States