DocumentCode
107110
Title
Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles
Author
Abdelsamad, Sherif F. ; Morsi, Walid G. ; Sidhu, Tarlochan S.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Volume
6
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
79
Lastpage
87
Abstract
In this paper, the synergy between wind-based distributed generation (DG) and plug-in electric vehicles (PEVs) is studied. MonteCarlo is used to address the uncertainties associated with wind speed variations and charging of PEVs hence simulating their impact at the distribution system (DS) level considering different DG penetration (up to 35%) and different PEV penetration (up to 50%). The excess in active/reactive power, energy exceeding normal (EEN), unserved energy (UE), and energy losses are investigated in this study. Forty-eight penetration scenarios involving DGs and PEVs are studied in this work and simulated in the IEEE 123-bus radial power distribution test system after modeling its secondary circuit in OpenDSS. The results of the simulation show that 30% wind-based DG penetration may be adequate to supply the active energy needed to charge PEVs. However, this might result in a reverse reactive power flow back to the substation.
Keywords
Monte Carlo methods; distributed power generation; distribution networks; electric vehicles; wind power plants; IEEE 123-bus radial power distribution test system; Monte Carlo method; OpenDSS; PEV; electric energy; energy exceeding normal; energy losses; plug-in electric vehicles; reverse reactive power flow; substation; wind-based distributed generation; Batteries; Clustering algorithms; Electric vehicles; Indexes; Reactive power; Wind speed; Monte Carlo methods; MonteCarlo methods; wind energy; wind power generation;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2014.2356551
Filename
6922582
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