DocumentCode :
3696513
Title :
Optimal siting and sizing of electric vehicle public charging stations considering smart distribution network reliability
Author :
Amin Mohsenzadeh;Chengzong Pang;Samaneh Pazouki;Mahmoudreza Haghifam
Author_Institution :
Department of Electrical and Computer Engineering, Wichita State University, USA
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Green House Gases (GHG) emissions due to oilbased fuel cars with Internal Conventional Engines (ICEs) in metropolitan areas is still a challenge. Plug-In Electric Vehicles (PEVs) eventually will become the economical choice for transportation due to their significant advantages of using flexible fuels, convenience, safe charging, high performance and cost saving. However, inappropriate place and size of aggregated PEVs may threaten power system reliability. Therefore, optimal planning of charging stations is required to maintain power system reliability. On the other hand, candidate places for placing charging stations should respect city traffic layout as well as electrical distribution networks. In this paper, an approach to optimal siting and sizing of public charging station considering traffic constraints of city is proposed. The objective function minimizing Energy Not Supplied (ENS) and charging station´s related costs. Candidate places of charging stations are optimally found in 33 bus radial distribution network by Genetic Algorithm. Results reveal optimal location and size of charging stations in order to maintain power system reliability
Keywords :
"Charging stations","Linear programming","Power system reliability","Reliability","Planning","Genetic algorithms","Optimization"
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2015
Type :
conf
DOI :
10.1109/NAPS.2015.7335241
Filename :
7335241
Link To Document :
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