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An electric vehicle dispatch module for demand-side energy participation

Author

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  • Zhou, Bowen
  • Yao, Feng
  • Littler, Tim
  • Zhang, Huaguang

Abstract

The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in transport technology and power electronics and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. It is widely acknowledged that inappropriate provision and dispatch of EV charging can lead to negative impacts on power system infrastructure. This paper considers EV requirements and proposes a module which uses owner participation, through mobile phone apps and on-board diagnostics II (OBD-II), for scheduled vehicle charging. A multi-EV reference and single-EV real-time response (MRS2R) online algorithm is proposed to calculate the maximum and minimum adjustable limits of necessary capacity, which forms part of decision-making support in power system dispatch. The proposed EV dispatch module is evaluated in a case study and the influence of the mobile app, EV dispatch trending and commercial impact is explored.

Suggested Citation

  • Zhou, Bowen & Yao, Feng & Littler, Tim & Zhang, Huaguang, 2016. "An electric vehicle dispatch module for demand-side energy participation," Applied Energy, Elsevier, vol. 177(C), pages 464-474.
    • Handle: RePEc:eee:appene:v:177:y:2016:i:c:p:464-474
    DOI: 10.1016/j.apenergy.2016.05.120
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    Cited by:

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    6. Lin, Haiyang & Liu, Yiling & Sun, Qie & Xiong, Rui & Li, Hailong & Wennersten, Ronald, 2018. "The impact of electric vehicle penetration and charging patterns on the management of energy hub – A multi-agent system simulation," Applied Energy, Elsevier, vol. 230(C), pages 189-206.
    7. Jia, Hongjie & Li, Xiaomeng & Mu, Yunfei & Xu, Chen & Jiang, Yilang & Yu, Xiaodan & Wu, Jianzhong & Dong, Chaoyu, 2018. "Coordinated control for EV aggregators and power plants in frequency regulation considering time-varying delays," Applied Energy, Elsevier, vol. 210(C), pages 1363-1376.
    8. Diaz, Cesar & Ruiz, Fredy & Patino, Diego, 2017. "Modeling and control of water booster pressure systems as flexible loads for demand response," Applied Energy, Elsevier, vol. 204(C), pages 106-116.
    9. Laihyuk Park & Yongwoon Jang & Hyoungchel Bae & Juho Lee & Chang Yun Park & Sungrae Cho, 2017. "Automated Energy Scheduling Algorithms for Residential Demand Response Systems," Energies, MDPI, vol. 10(9), pages 1-17, September.
    10. Tohid Harighi & Sanjeevikumar Padmanaban & Ramazan Bayindir & Eklas Hossain & Jens Bo Holm-Nielsen, 2019. "Electric Vehicle Charge Stations Location Analysis and Determination—Ankara (Turkey) Case Study," Energies, MDPI, vol. 12(18), pages 1-22, September.
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