EV Charging Station Placement Considering Traffic Flow

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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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  -