Planning of electric vehicle charging infrastructure

Dharmakeerthi, C. H., Mithulananthan, N. and Saha, T. K. (2013). Planning of electric vehicle charging infrastructure. In: 2013 IEEE Power and Energy Society General Meeting (PES): Proceedings. PES-GM 2013: IEEE Power and Energy Society General Meeting 2013, Vancouver, BC, Canada, (1-5). 22-25 July, 2013. doi:10.1109/PESMG.2013.6672085


Author Dharmakeerthi, C. H.
Mithulananthan, N.
Saha, T. K.
Title of paper Planning of electric vehicle charging infrastructure
Conference name PES-GM 2013: IEEE Power and Energy Society General Meeting 2013
Conference location Vancouver, BC, Canada
Conference dates 22-25 July, 2013
Proceedings title 2013 IEEE Power and Energy Society General Meeting (PES): Proceedings
Journal name Proceedings of the IEEE Power & Energy Society General Meeting
Place of Publication Piscataway, NJ, USA
Publisher Institute of Electrical and Electronic Engineers
Publication Year 2013
Sub-type Fully published paper
DOI 10.1109/PESMG.2013.6672085
ISBN 9781479913039
ISSN 1944-9925
Start page 1
End page 5
Total pages 5
Collection year 2014
Language eng
Formatted Abstract/Summary
The Electric Vehicle (EV) has become the sustainable alternative to fossil fuel driven automobiles. As a result, a new type of load is being seen on power systems. Hence, provision of an EV charging infrastructure has become a new challenge for power system engineers worldwide. It has been identified that the voltage dependent nature of EV load may lead to voltage instabilities in the system. Furthermore, significant load integration into the distribution system may overload the system components, increase power system losses and may violate system constraints. Despite these factors EV consumers should be provided with convenient and reliable charging facilities. Hence, the identification of a charging infrastructure which satisfies requirements of both the EV customer and the power system is of primary importance. A particle swarm optimization (PSO) based approach is considered here for planning of EV charging infrastructure.
Keyword Charging infrastructure planning
Electric vehicle
Particle swarm optimization
Voltage dependent loads
Voltage stability
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Presented at ETCC Combo Session as Paper GM0040.

 
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Created: Fri, 11 Oct 2013, 17:58:12 EST by Champa Hemamali Dharmakeerthi on behalf of School of Information Technol and Elec Engineering