Publication

Decentralized charging coordination of electric vehicles under feeder capacity constraints

Journal Article (2022)

Journal

IEEE Transactions on Control of Network Systems

Doc link

https://doi.org/10.1109/TCNS.2021.3128498

File

Download the digital copy of the doc pdf document

Abstract

As an envisioned technology for future smart city networks, this paper studies the real-time decentralized charging coordination of a fleet of plug-in electric vehicles (PEVs) under feeder capacity constraints. In particular, inspired by some ideas in the field of population games and payoff dynamics models, we propose a novel form of continuous-time primal-dual gradient dynamics and develop a real-time control method for the charging coordination of PEVs in smart city networks. The proposed method is able to coordinate the charging profiles of multiple PEVs in a decentralized fashion under a general convex optimization objective, and guarantees the satisfaction of the operational constraints of the PEVs and the feeder lines of the distribution network for all times. The optimality and asymptotic stability of the proposed dynamics are formally proven, and the advantages of the proposed method are illustrated through numerical simulations considering a fleet with several PEVs.

Categories

control theory, optimisation.

Author keywords

game theory

Scientific reference

J.P. Martínez, N. Quijano and C. Ocampo-Martínez. Decentralized charging coordination of electric vehicles under feeder capacity constraints. IEEE Transactions on Control of Network Systems, 2022, to appear.