Smart City Gnosys

Smart city article details

Title	Decentralized Charging Coordination Of Electric Vehicles Under Feeder Capacity Constraints
ID_Doc	17635
Authors	Martinez-Piazuelo J.; Quijano N.; Ocampo-Martinez C.
Year	2022
Published	IEEE Transactions on Control of Network Systems, 9, 4
DOI	http://dx.doi.org/10.1109/TCNS.2021.3128498
Abstract	As an envisioned technology for future smart city networks, this article 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. © 2014 IEEE.
Author Keywords	Decentralized charging coordination; electric vehicles; payoff dynamics models; population games; primal-dual gradient dynamics

Similar Articles

Id	Similarity	Authors	Title	Published
1879	0.878	Modarresi J.; Ahmadian A.; Diabat A.; Elkamel A.	A Game Theory Based Scheduling Approach For Charging Coordination Of Multiple Electric Vehicles Aggregators In Smart Cities	Energy, 313 (2024)
17670	0.874	Ghavami M.; Haeri M.; Kebriaei H.	Decentralized Pricing Mechanism For Traffic And Charging Station Management Of Evs In Smart Cities	IEEE Transactions on Intelligent Transportation Systems, 25, 6 (2024)
32353	0.87	Dey S.; Xu H.	Intelligent Distributed Charging Control For Large Scale Electric Vehicles: A Multi-Cluster Mean Field Game Approach	ACM International Conference Proceeding Series (2023)
38094	0.865	Pok P.J.; Yeo H.; Woo S.	Multi-Agent Game-Theoretic Modelling Of Electric Vehicle Charging Behavior And Pricing Optimization In Dynamic Ecosystems	Procedia Computer Science, 257 (2025)
36544	0.864	Zhou Z.; Xu H.	Mean Field Game-Based Decentralized Optimal Charging Control For Large-Scale Of Electric Vehicles	IFAC-PapersOnLine, 55, 15 (2022)
38088	0.859	Bachiri K.; Yahyaouy A.; Gualous H.; Malek M.; Bennani Y.; Makany P.; Rogovschi N.	Multi-Agent Ddpg Based Electric Vehicles Charging Station Recommendation	Energies, 16, 16 (2023)
40628	0.852	Fernandez V.; Pérez V.	Optimization Of Electric Vehicle Charging Control In A Demand-Side Management Context: A Model Predictive Control Approach	Applied Sciences (Switzerland), 14, 19 (2024)
7054	0.851	Chavhan S.; Gupta D.; Alkhayyat A.; Alharbi M.; Rodrigues J.J.P.C.	Ai-Empowered Game Theoretic-Enabled Dynamic Electric Vehicles Charging Price Scheme In Smart City	IEEE Systems Journal, 17, 4 (2023)
49243	0.851	Wu O.Q.; Yücel Ş.; Zhou Y.	Smart Charging Of Electric Vehicles: An Innovative Business Model For Utility Firms	Manufacturing and Service Operations Management, 24, 5 (2022)
42903	0.85	Souto L.; Taylor P.C.; Damree S.	Preemptive Electric Vehicle Charging Strategy In Active Power Distribution Networks	IEEE Power and Energy Society General Meeting (2024)