DocumentCode
106111
Title
Reliability/Cost Evaluation With PEV and Wind Generation System
Author
Wu, C.X. ; Chung, C.Y. ; Wen, F.S. ; Du, D.Y.
Author_Institution
Sch. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Volume
5
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
273
Lastpage
281
Abstract
Plug-in electric vehicles (PEVs) and renewable generation by wind turbine (WT) have drawn great attention in recent years. This paper proposes a reliability cost evaluation model to decide the optimized wind generation capacity in an isolated distribution network with PEVs. Randomness of both the EV charging/discharging process and wind generation is considered. An EV is used for the storage of energy that can be discharged to the distribution network when demand exceeds generation. The total cost that includes customer interruption cost and annual generation cost is optimized. Carbon emission cost of conventional generation is also included in the generation cost. Monte Carlo simulation is employed to simulate wind speed and WT/load point outage, PEV numbers charging/discharging, etc. The smallest duration of customer interruption time is 1 min. The distribution system for the IEEE Roy Billinton test system is employed to demonstrate the mathematical model proposed in this paper. The least total cost and WT capacity vary under different circumstances.
Keywords
Monte Carlo methods; distribution networks; environmental economics; hybrid electric vehicles; reliability; wind turbines; EV charging-discharging process; IEEE Roy Billinton test system; Monte Carlo simulation; PEV; WT capacity; annual generation cost; carbon emission cost; customer interruption cost; isolated distribution network; mathematical model; plug-in electric vehicle; reliability-cost evaluation method; wind generation system; wind turbine; Batteries; Interrupters; Maintenance engineering; Power generation; Power system reliability; Reliability; Wind speed; Monte Carlo simulation (MCS); optimization; plug-in electric vehicle (PEV); reliability/cost evaluation; wind generation;
fLanguage
English
Journal_Title
Sustainable Energy, IEEE Transactions on
Publisher
ieee
ISSN
1949-3029
Type
jour
DOI
10.1109/TSTE.2013.2281515
Filename
6672040
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