Cost minimization control for smart electric car parks

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Abstract

The high demand side cost of electric vehicles (EVs) affects the wide use of EVs in practice. In this paper, a mathematical model is built to investigate the cost of the demand side by controlling EVs charging and discharging status, so that the demand side cost can be minimised under given tariffs. The battery degradation cost, the driving probability and the vehicleto-grid (V2G) rebates are considered in the model. The most economic charging and discharging strategy for each EV can be determined through global optimisation. Simulation studies demonstrate the cost reduction through optimization.
Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - 6 Sep 2018
EventThe 24th International Conference on Automation and Computing (ICAC'18) - Newcastle University, Newcastle, United Kingdom
Duration: 6 Sep 20187 Sep 2018
http://www.cacsuk.co.uk/index.php/conferences

Conference

ConferenceThe 24th International Conference on Automation and Computing (ICAC'18)
Abbreviated titleICAC'18
CountryUnited Kingdom
CityNewcastle
Period6/09/187/09/18
Internet address

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Keywords

  • electric vehicle (EV)
  • demand side cost
  • battery degradation
  • vehicle-to-grid
  • driving probability
  • optimisation

Cite this

Su, X., & Yue, H. (2018). Cost minimization control for smart electric car parks. Paper presented at The 24th International Conference on Automation and Computing (ICAC'18), Newcastle, United Kingdom. https://doi.org/na