Cost minimization control for smart electric car parks

Xiaoke Su; Hong Yue

doi:na

Cost minimization control for smart electric car parks

Xiaoke Su, Hong Yue

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

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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 language	English
Number of pages	6
DOIs	https://doi.org/na https://doi.org/10.23919/IConAC.2018.8749011
Publication status	Published - 6 Sep 2018
Event	The 24th International Conference on Automation and Computing (ICAC'18) - Newcastle University, Newcastle, United Kingdom Duration: 6 Sep 2018 → 7 Sep 2018 http://www.cacsuk.co.uk/index.php/conferences

Conference

Conference	The 24th International Conference on Automation and Computing (ICAC'18)
Abbreviated title	ICAC'18
Country/Territory	United Kingdom
City	Newcastle
Period	6/09/18 → 7/09/18
Internet address	http://www.cacsuk.co.uk/index.php/conferences

Keywords

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

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Su-Yue-ICAC2018-Cost-minimization-control-for-smart-electric-car-parksAccepted author manuscript, 285 KB

Cite this

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AB - 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.

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Cost minimization control for smart electric car parks

Abstract

Conference

Keywords

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Cite this