Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28225
Title: Reliability/cost evaluation with pev and wind generation system
Authors: Wu, CX
Chung, CY
Wen, FS
Du, DY
Keywords: Monte Carlo simulation (MCS)
Optimization
Plug-in electric vehicle (PEV)
Reliability/cost evaluation
Wind generation
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on sustainable energy, 2014, v. 5, no. 1, 6672040, p. 273-281 How to cite?
Journal: IEEE transactions on sustainable energy 
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.
URI: http://hdl.handle.net/10397/28225
ISSN: 1949-3029 (print)
1949-3037 (online)
DOI: 10.1109/TSTE.2013.2281515
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