DocumentCode :
3605977
Title :
Simultaneous Planning of PEV Charging Stations and DGs Considering Financial, Technical,and Environmental Effects
Author :
Pazouki, Samaneh ; Mohsenzadeh, Amin ; Ardalan, Shahab ; Haghifam, Mahmoud-Reza
Author_Institution :
Young Res. & Elite Club, Islamic Azad Univ., Tehran, Iran
Volume :
38
Issue :
3
fYear :
2015
Firstpage :
238
Lastpage :
245
Abstract :
The growing demand for plug-in electric vehicles (PEVs) in the world has driven researchers to pay extra attention to charging stations (CSs) in order to meet supplying needs. Lower emission, convenient charging experience, high performance, and energy security are considered as the significant benefits of the mentioned technology. Despite the aforementioned advantages, inappropriate place and size of CSs have brought new challenges for electric distribution systems. Prominent features of distributed generations (DGs) make this technology appropriate for compensating relevant problems of CSs installation. In this paper, simultaneous optimal planning (placing and sizing) of CSs and DGs is presented to address new challenges. In addition, financial (investment costs), technical (system reliability, power loss, and voltage profile), and environmental (CO2 emission) issues are considered in the proposed objective function. A genetic algorithm is used to solve the optimization problem. Furthermore, the simulation study is carried out on a 33-bus radial distribution network. The simulation results show the effects of installation of CSs in the presence/absence of DGs on total costs, reliability, loss, voltage profile, and emission. Moreover, the effects of increasing PEV´s availability are evaluated on the aforementioned terms in the electric distribution network.
Keywords :
distributed power generation; electric vehicles; energy security; environmental factors; genetic algorithms; power distribution reliability; power generation economics; power generation planning; 33-bus radial distribution network; DG planning; PEV charging station planning; distributed generation; electric distribution system reliability; energy security; environmental effects; financial effects; genetic algorithm; optimization problem; plug-in electric vehicle; technical effects; Biological cells; Cascading style sheets; Charging stations; Genetic algorithms; Investment; Planning; Reliability; Distributed generation (DG); electric distribution network; emission; optimal placing and sizing; plug-in electric vehicles (PEVs) charging station (CS); power loss; reliability; voltage penalty;
fLanguage :
English
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
Publisher :
ieee
ISSN :
0840-8688
Type :
jour
DOI :
10.1109/CJECE.2015.2436811
Filename :
7270415
Link To Document :
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