Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

EV Charging Station Placement Considering Traffic Flow

Authors
Tianqi Lu, Qiang Ma, Zheng Gu
Corresponding Author
Tianqi Lu
Available Online November 2016.
DOI
10.2991/icimm-16.2016.38How to use a DOI?
Keywords
The flow refueling model; Multi-objective optimization; NSGA-
Abstract

The flow refueling location model is adopted to describe the traffic network considering the shortest and the second shortest paths. Three objective functions of the electric vehicle charging sta-tion placement optimal model are defined to maximize the captured traffic flow, to minimize the in-vestment cost, and to minimize the average voltage deviation. Then, the non-dominated sorting genetic algorithm- is used to solve the multi-objective model. With the example of the IEEE 33-node power distribution network and the 25-node traffic network, the basic characteristics of the presented model and solving method are illustrated.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
10.2991/icimm-16.2016.38How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tianqi Lu
AU  - Qiang Ma
AU  - Zheng Gu
PY  - 2016/11
DA  - 2016/11
TI  - EV Charging Station Placement Considering Traffic Flow
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 186
EP  - 192
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.38
DO  - 10.2991/icimm-16.2016.38
ID  - Lu2016/11
ER  -