Decentralized charging coordination of electric vehicles using multi-population games
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
This paper addresses the decentralized charging coordination of a fleet of plug-in electric vehicles (PEVs). In particular, we cast the charging coordination task as a constrained multi-objective optimization problem, and we solve it using a novel receding horizon decentralized optimization method based on multi-population games. Our proposed method is able to coordinate the charging process of arbitrary fleets of PEVs, while satisfying hard operational constraints over the system’s variables. Our theoretical developments are illustrated through numerical simulations of various PEV-fleets of different sizes.
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CitationMartinez-Piazuelo, J.; Quijano, N.; Ocampo-Martinez, C. Decentralized charging coordination of electric vehicles using multi-population games. A: IEEE Conference on Decision and Control. "IEEE Conference on Decision and Control 2020 (CDC20)". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 506-511. DOI 10.1109/CDC42340.2020.9304437.
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