Joint Planning of a Distribution System and a Charging Network for Electric Vehicles
Publication: Journal of Energy Engineering
Volume 147, Issue 1
Abstract
The spatial-temporal distribution of electric vehicle (EV) charging loads can be improved by implementing optimized charging scheduling, and by the joint planning of a distribution network (DN) and a charging network of EVs. In this paper, such a joint planning scheme was studied and modeled as two-level optimization model. In the upper level of the optimization, a joint planning model of a DN and a charging network of EVs with distributed photovoltaic (PV) systems and/or energy storage (ES) units is constructed to minimize the total cost. Then the optimized results of the DN and the EV charging network construction plan are used as the inputs of the lower-level operation model. In the lower-level operation optimization, an optimal charging scheduling approach is proposed to minimize the sum of the DN’s operation cost and the traffic congestion cost. The spatial-temporal distribution of the charging demand, under an optimized charging strategy, is used as feedback for the upper-level optimization model, which effectively can reduce the scale of the DN and the charging network construction. The proposed joint planning model was demonstrated through applications in a city in China.
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Data Availability Statement
Topological data for the distribution system and traffic system of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work is jointly supported by National Natural Science Foundation of China (U1910216), and a science and technology project of the China Southern Power Grid Company Limited (No. 090000KK52170127).
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Information
Published In
Journal of Energy Engineering
Volume 147 • Issue 1 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jul 27, 2020
Accepted: Sep 1, 2020
Published online: Nov 27, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 27, 2021
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