4.7 Article

A chance constraint approach to peak mitigation in electric vehicle charging stations

Journal

AUTOMATICA
Volume 131, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2021.109746

Keywords

Plug-in electric vehicles; EV parking lots; Optimization; Chance constraints; Smart charging; Peak reduction

Funding

  1. Italian Ministry for Research
  2. Program for Research Projects of National Interest (PRIN) [2017YKXYXJ]

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This paper addresses the peak power minimization problem for plug-in charging stations using a chance constraint approach, and provides numerical simulations to evaluate and compare the performance of the proposed method with other techniques.
The increased penetration of plug-in electric vehicles asks for efficient algorithms to be adopted in parking lots equipped with charging units. In this paper, the peak power minimization problem for a plug-in charging station is addressed. A chance constraint approach is adopted in order to minimize the daily peak power, allowing for a tolerance on the charging service customer satisfaction expressing the probability that a vehicle leaves the station violating the agreed level of charge. Numerical simulations are provided to evaluate the performance of the proposed approach as well as to make a comparison with other techniques. (C) 2021 Elsevier Ltd. All rights reserved.

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