Reliability/cost evaluation with pev and wind generation system

C. X. Wu, C. Y. Chung, F. S. Wen, D. Y. Du

Research output: Journal article publicationJournal articleAcademic researchpeer-review

31 Citations (Scopus)


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.

Original languageEnglish
Article number6672040
Pages (from-to)273-281
Number of pages9
JournalIEEE Transactions on Sustainable Energy
Issue number1
Publication statusPublished - Jan 2014


  • Monte Carlo simulation (MCS)
  • Optimization
  • Plug-in electric vehicle (PEV)
  • Reliability/cost evaluation
  • Wind generation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment


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