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A user-friendly smart charging algorithm based on energy-awareness for different PEV parking scenarios

Reza Razi 1 Khaled Hajar 1 Ahmad Hably 1 Seddik Bacha 2 
2 G2Elab-SYREL - G2Elab-SYstèmes et Réseaux ELectriques
G2ELab - Laboratoire de Génie Electrique de Grenoble
Abstract : Many studies show that collaborations between renewable energy sources especially PV arrays and plug-in electric vehicles can have a positive impact on the utilization of both emerging technologies. In fact, the intermittent nature of renewable sources and the highdemand for PEV charging will address by this partnership. This paper proposes a user-friendly algorithm for the control of PEV charging and discharging, aiming to satisfy all involved parties including user, parking owner and grid operator by considering the health of batteries and costs. First, the predicted input data are used to obtain the optimal position of PEVs through an extended linear optimization method in different scenarios. In this regard, three scenarios including uncontrolled, unidirectional and bidirectional are used and their impact on the battery health and charging cost is specified. Then, based on energy-awareness, the user selects one of those scenarios arbitrary by comparing their results. Finally, the real-time controller compensates the errors based on a traditional rule-based method. This procedure is repeated upon on arrival of each PEV, and the results are considered as input for the next step.
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https://hal.archives-ouvertes.fr/hal-03658913
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Submitted on : Wednesday, May 4, 2022 - 1:07:56 PM
Last modification on : Friday, May 13, 2022 - 2:37:16 PM

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Reza Razi, Khaled Hajar, Ahmad Hably, Seddik Bacha. A user-friendly smart charging algorithm based on energy-awareness for different PEV parking scenarios. MED 2021 - 29th Mediterranean Conference on Control and Automation (MED), Jun 2021, Puglia, Italy. pp.392-397, ⟨10.1109/MED51440.2021.9480287⟩. ⟨hal-03658913⟩

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