• DocumentCode
    157547
  • Title

    Synthesis of hourly wind power series using the Moving Block Bootstrap method

  • Author

    Usaola, Julio

  • Author_Institution
    Dept. of Electr. Eng., Univ. Carlos III de Madrid, Leganés, Spain
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Reliability studies of power systems will have to include different renewable resources, because of their increasing importance in the generation mix. Wind is now the most developed intermittent renewable source of energy, and wind power series are needed to include it in Monte Carlo based studies. However, to generate correct wind power series for a given power system using ARIMA/GARCH methods is complex because of their nonlinear character and seasonality. In this paper a simpler approach based on the Moving Block Bootstrap method is proposed. This method is easy to implement, and effective if there is enough representative data. The paper describes the features of wind power production in peninsular Spain, proposes a bootstrap method to generate wind power production scenarios and shows the applicability of the method by means of an adequacy study of the IEEE-RTS system adding wind and concentrating solar power.
  • Keywords
    power generation reliability; statistical analysis; wind power; IEEE-RTS system; Monte Carlo based studies; hourly wind power series; moving block bootstrap method; peninsular Spain; power systems; reliability studies; renewable resources; wind power production; Correlation; Production; Reliability; Time series analysis; Wind; Wind energy; Wind power generation; Reliability; moving block bootstrap; wind generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Conference_Location
    Durham
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960602
  • Filename
    6960602