Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Optimal Planning for Electric Vehicle Charging Station Considering the Constraint of Battery Capacity

Authors
Ming Zeng, Xiaohui Zhan, Yuanfei Li
Corresponding Author
Ming Zeng
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.86How to use a DOI?
Keywords
electric vehicle; charging station; battery capacity, chaos and harmony search algorithm
Abstract
Planning EV charging stations reasonably is significant to the development of whole EV industry. Taking constraints of charging capacity and investment limitation into account, the optimization model of EV charging station planning with the objective function of minimum annual cost is established. Constraint of service radius is replaced by constraint of battery capacity which takes the factor of EV itself in order to eliminate the possible planning failure. The model is solved by the chaos and harmony search algorithm and the optimal result of the charging stations planning is obtained. Case analysis shows that the method proposed in this paper has a certain practical and scientific, and can provide some reference for the planning of EV charging stations.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.86How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ming Zeng
AU  - Xiaohui Zhan
AU  - Yuanfei Li
PY  - 2016/01
DA  - 2016/01
TI  - Optimal Planning for Electric Vehicle Charging Station Considering the Constraint of Battery Capacity
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 349
EP  - 353
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.86
DO  - https://doi.org/10.2991/icaita-16.2016.86
ID  - Zeng2016/01
ER  -