2020 IEEE Conference on Control Technology and Applications (CCTA) 2020
DOI: 10.1109/ccta41146.2020.9206272
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Coordinated Charging of Large Electric Vehicle Fleet in a Charging Station With Limited Transformer Power

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Cited by 2 publications
(4 citation statements)
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“…The main contribution of this paper, compared to the previously investigated literature, is to propose an optimal EV fleet charging management system that takes into account the power dependence of charger efficiencies, and which extends our previous work [20] (which is significantly improved upon) to the case of bidirectional charging. In detail, the contributions highlighting the proposed strategy are to…”
Section: Introductionmentioning
confidence: 86%
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“…The main contribution of this paper, compared to the previously investigated literature, is to propose an optimal EV fleet charging management system that takes into account the power dependence of charger efficiencies, and which extends our previous work [20] (which is significantly improved upon) to the case of bidirectional charging. In detail, the contributions highlighting the proposed strategy are to…”
Section: Introductionmentioning
confidence: 86%
“…Others, such as [1,[12][13][14][15][16] use the optimization approach to find the optimal charging power. Other methods based on fuzzy logic, deep reinforcement learning, and priority models have been used in [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…The authors in [15] formulated the smart charging approach as an optimization problem, aiming at minimizing the EVs charging cost considering the day-ahead electricity price, the battery degradation cost and uncertainties in EVs arrival and departure time. In [16] a coordinated charging strategy has been proposed to manage the EV fleet charging considering the charging infrustructure and the EV' users satisfaction.…”
Section: Related Workmentioning
confidence: 99%
“…In the literature various charging strategies have been proposed. Nevertheless, all of them use a constant sampling period or fixed time step defined before starting the optimization [8][9][10][11][12][13][14][15][16]. In the event of a fluctuation of energy prices of a few seconds within a long planning optimization window, the charging scheduling will cause an important issue with a huge number of steps.…”
Section: Related Workmentioning
confidence: 99%