• DocumentCode
    3249493
  • Title

    Reliability evaluation of integrated wind/diesel/storage systems for remote locations

  • Author

    Li, W.Y. ; Bagen, B.

  • Author_Institution
    Electr. Power Coll., Inner Mongolia Univ. of Technol., Huhhot, China
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    791
  • Lastpage
    795
  • Abstract
    One of the most promising applications for wind energy is its use in electric power systems for remote isolated locations. Currently most remote and isolated communities depend on conventional diesel fuel for their electricity supply. Diesel generations in these locations are expensive mainly due to the escalating fuel costs. The associated maintenance costs and transportation costs are also relatively high in many areas. On the other hand, the wind speed in those remote areas is usually fairly high and hence wind energy has huge potential. Wind energy based systems have no fuel cost and can, therefore, be included in these conventional small isolated systems in order to replace the costly diesel fuel by renewable energy. Wind power generation is, however, intermittent in nature, and therefore, energy storage systems are often considered to smooth out the fluctuations and improve the supply continuity. The energy available for storage, and the stored energy that can be used at any time is highly dependent on the system operating constraints. In this paper, some of these important constraints are incorporated in a sequential Monte Carlo Simulation technique for the adequacy evaluation of integrated wind/diesel/storage systems for remote locations. The impact of wind and energy storage on integrated wind/diesel/storage system reliability performance is examined. Potential problems associated with utilization of wind energy and energy storage in small isolated systems are also discussed.
  • Keywords
    Monte Carlo methods; diesel-electric power stations; electricity supply industry; energy storage; petroleum; power generation reliability; wind power plants; Monte Carlo simulation technique; diesel fuel; diesel generation; electric power system; electricity supply; energy storage; reliability evaluation; remote location; renewable energy; wind power generation; wind-diesel-storage system; Costs; Energy storage; Fuels; Potential energy; Power system reliability; Renewable energy resources; Transportation; Wind energy; Wind energy generation; Wind speed; Diesel Generator; Energy storage; Monte Carlo Simulation; Reliability Evaluation; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528425
  • Filename
    5528425