Smart Control of Fleets of Electric Vehicles in Smart and Connected Communities

The increasing deployment of electric vehicles (EVs) across the United States has introduced many new opportunities and challenges with regards to energy management and control. In smart and connected communities (SCCs), where advanced communication infrastructures are in place, optimal coordination...

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Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 10; no. 6; pp. 6883 - 6897
Main Authors: Moghaddass, Ramin, Mohammed, Osama A., Skordilis, Erotokritos, Asfour, Shihab
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Biological system modeling
Charging
Charging stations
Communities
Computer simulation
Coordination
Dynamic scheduling
Electric power systems
Electric vehicle charging
Electric vehicles
Energy management
multi-objective mixed-integer programming
Multiple objective analysis
optimal coordination
Optimization
Production scheduling
Scheduling
Smart & connected communities
smart control
Smart grids
Vehicle dynamics
ISSN:1949-3053, 1949-3061
Online Access:Get full text
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Summary:The increasing deployment of electric vehicles (EVs) across the United States has introduced many new opportunities and challenges with regards to energy management and control. In smart and connected communities (SCCs), where advanced communication infrastructures are in place, optimal coordination of EVs can significantly impact EV owners, power systems, and charging station owners. This paper develops two scheduling frameworks (static and dynamic) for optimal coordination of a fleet of cooperative EVs in a community with many charging stations and potentially different types of chargers (e.g., level 1, level 2, and DC fast). The scheduling problems are formulated as mixed-integer multi-objective optimization models and then multi-objective solution methods are utilized to find the optimal solution for each of the two scheduling frameworks. Numerical experiments simulated based on the State of Florida verify the usefulness of smart charging for better energy management and satisfying key players' objectives and constraints.
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2019.2913587