A Review on Electric Vehicles Charging Strategies Concerning Actors Interests

Authors

  • Shahab Sabzi
    Affiliation
    Department of Control Engineering and Information Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary
  • Laszlo Vajta
    Affiliation
    Department of Control Engineering and Information Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary
  • Tayebeh Faghihi
    Affiliation
    Department of Control Engineering and Information Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary
https://doi.org/10.3311/PPee.19625

Abstract

Electric vehicles are becoming increasingly popular in societies and an important part of smart grids. Utility companies should be able to provide them with vital energy as they need electric energy instead of fuel, and this is where new challenges emerge in the network. In order to avoid causing utilities to incur additional energy and economic losses, researchers have proposed smart charging as a way to provide adequate energy to vehicles. When developing a charging schedule for a fleet of EVs, special considerations are made on variables such as energy, cost, and EVs milage. In this review paper, the importance of EVs integration into smart grids is studied, and then different methods to develop EVs charging scheduling are investigated. These methods can vary from optimization algorithms to learning-based, and game theory-based approaches. Then, as the considered system consists of three main actors, including EV users, the utility operator, and aggregators, a systematic review is conducted on these actors, and objectives related to each one are analyzed. Finally, research gaps related to the problem are studied. Researchers can use this review to conduct further research on the integration of EVs into smart grids.

Keywords:

deep learning, electric vehicle, smart grid, optimization, driver behavior, charging

Citation data from Crossref and Scopus

Published Online

2022-05-17

How to Cite

Sabzi, S., Vajta, L., Faghihi, T. “A Review on Electric Vehicles Charging Strategies Concerning Actors Interests”, Periodica Polytechnica Electrical Engineering and Computer Science, 66(2), pp. 148–162, 2022. https://doi.org/10.3311/PPee.19625

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Section

Articles