• DocumentCode
    3237133
  • Title

    An assessment of wind speed stochastic model for the UK

  • Author

    Dizqah, Arash M. ; Maheri, Alireza ; Busawon, Krishna

  • Author_Institution
    Sch. of Comput., Eng. & Inf. Sci., Northumbria Univ., Newcastle upon Tyne, UK
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    623
  • Lastpage
    627
  • Abstract
    Hybrid Renewable Energy System (HRES) can effectively supply sustainable electrical energy in standalone remote areas. However, in order to design a reliable site and a robust controller, uncertainties in sustainable energy resources need to be modeled properly. This paper proposes a stochastic model of hourly wind speed for four locations across the UK. The goodness-of-fit of the proposed model has been evaluated using the Kolmogorov-Smirnov (K-S) test. The proposed model has been employed to simulate the amount of hourly wind speed for a location in the UK.
  • Keywords
    wind power; HRES; K-S test; Kolmogorov-Smirnov test; UK; energy resources; hybrid renewable energy system; robust controller; standalone remote areas; wind speed; wind speed stochastic model assessment; Educational institutions; Mathematical model; Renewable energy resources; Shape; Stochastic processes; Weibull distribution; Wind speed; Hybrid Renewable Energy System; Simulation; Stochastic Modelling; Uncertainty; Wind Speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment Friendly Energies and Applications (EFEA), 2012 2nd International Symposium on
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-1-4673-2909-5
  • Electronic_ISBN
    978-1-4673-2910-1
  • Type

    conf

  • DOI
    10.1109/EFEA.2012.6294031
  • Filename
    6294031