Optimal Design of Charging Station for Electric Vehicles Integrated with Renewable DG

DOI

10.2991/iceea-18.2018.19How to use a DOI?

Keywords

Electric Vehicle (EV); charging station; renewable DG; optimal design

Abstract

Electric vehicles (EVs) began to play an essential role in the public transportation system. It is a necessary part of developing and driving the economies of many countries in the future. EVs uses electric power to drive the mechanisms and other systems which must be stored electrical energy for use to drive the car move from one place to another one. However, the batteries of electric vehicles must be recharged, which requires the charging station to follow the distance traveled. Charging station and power sources for charging are an essential factor for the use of electric vehicles. This article is the study of the charging station for electric vehicles that use power sources from distribution systems and hybrid renewable energy system. In this study, photovoltaic (PV) and wind energy were the renewable energy sources to generate the electricity for charging the electric vehicles. The IEEE 33 bus system was modified and was used to simulate, and the Artificial Bee Colony (ABC) algorithm is an artificial intelligence technique to solve the problem. The simulation results show that the connection of hybrid renewable energy system to the distribution system for recharge electric vehicles provide electrical systems more reliable while being used during peak load times.

Copyright

© 2018, 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  - Terapong Boonraksa
AU  - Elifuraha Reuben Mmary
AU  - Boonruang Marungsri
PY  - 2018/03
DA  - 2018/03
TI  - Optimal Design of Charging Station for Electric Vehicles Integrated with Renewable DG
BT  - Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SP  - 82
EP  - 85
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.19
DO  - 10.2991/iceea-18.2018.19
ID  - Boonraksa2018/03
ER  -