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Optimal charging of electric drive vehicles in a market environment

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  • Kristoffersen, Trine Krogh
  • Capion, Karsten
  • Meibom, Peter

Abstract

With a potential to facilitate the integration of renewable energy into the electricity system, electric drive vehicles may offer a considerable flexibility by allowing for charging and discharging when desired. This paper takes the perspective of an aggregator that manages the electricity market participation of a vehicle fleet and presents a framework for optimizing charging and discharging of the electric drive vehicles, given the driving patterns of the fleet and the variations in market prices of electricity. When the aggregator is a price-taker the optimization can be stated in terms of linear programming whereas a quadratic programming formulation is required when he/she has market power. A Danish case study illustrates the construction of representative driving patterns through clustering of survey data from Western Denmark and the prediction of electricity price variations through regression on prices from the Nordic market. The results show that electric vehicles provide flexibility almost exclusively through charging. Moreover, the vehicles provide flexibility within the day but only limited flexibility from day to day when driving patterns are fixed.

Suggested Citation

  • Kristoffersen, Trine Krogh & Capion, Karsten & Meibom, Peter, 2011. "Optimal charging of electric drive vehicles in a market environment," Applied Energy, Elsevier, vol. 88(5), pages 1940-1948, May.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:5:p:1940-1948
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    References listed on IDEAS

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    1. Chen, Haisheng & Ding, Yulong & Li, Yongliang & Zhang, Xinjing & Tan, Chunqing, 2011. "Air fuelled zero emission road transportation: A comparative study," Applied Energy, Elsevier, vol. 88(1), pages 337-342, January.
    2. Kiviluoma, Juha & Meibom, Peter, 2010. "Influence of wind power, plug-in electric vehicles, and heat storages on power system investments," Energy, Elsevier, vol. 35(3), pages 1244-1255.
    3. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    4. Bradley, Thomas H. & Frank, Andrew A., 2009. "Design, demonstrations and sustainability impact assessments for plug-in hybrid electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 115-128, January.
    5. Romm, Joseph, 2006. "The car and fuel of the future," Energy Policy, Elsevier, vol. 34(17), pages 2609-2614, November.
    6. Kudoh, Yuki & Ishitani, Hisashi & Matsuhashi, Ryuji & Yoshida, Yoshikuni & Morita, Kouji & Katsuki, Shinichi & Kobayashi, Osamu, 2001. "Environmental evaluation of introducing electric vehicles using a dynamic traffic-flow model," Applied Energy, Elsevier, vol. 69(2), pages 145-159, June.
    7. Xu, Zhaoping & Chang, Siqin, 2010. "Prototype testing and analysis of a novel internal combustion linear generator integrated power system," Applied Energy, Elsevier, vol. 87(4), pages 1342-1348, April.
    8. Tang, Yong & Yuan, Wei & Pan, Minqiang & Wan, Zhenping, 2011. "Experimental investigation on the dynamic performance of a hybrid PEM fuel cell/battery system for lightweight electric vehicle application," Applied Energy, Elsevier, vol. 88(1), pages 68-76, January.
    9. Katrasnik, Tomaz, 2010. "Analytical method to evaluate fuel consumption of hybrid electric vehicles at balanced energy content of the electric storage devices," Applied Energy, Elsevier, vol. 87(11), pages 3330-3339, November.
    Full references (including those not matched with items on IDEAS)

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