• DocumentCode
    157551
  • Title

    Study on reliability improvement possibilities assuming probabilistic wind generation

  • Author

    Lvovs, Aleksandrs ; Priedite, Ilze

  • Author_Institution
    Inst. of Phys. Energetics, Riga, Latvia
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wind power integration and economics is important topic for stakeholders, end users and regulatory institutions. New approaches for estimation customer costs of utility and reliability that takes into account time-variable loads and outage costs are proposed and illustrated in the paper. The developed approaches were implemented in case studies using information about wind resource in Latvia. In the case study there have been estimated changes of reliability level for customers due to wind generation installation, and due to some other reliability improvement activities related with usage of different types of power lines. Changes of reliability level affect customer costs of reliability. Analysing positive effect of wind generators on network reliability and on reduction of customer costs of reliability, there has been also taken into account economic benefit that get household users by installing wind generators - such users don´t pay for electricity produced by wind generator.
  • Keywords
    cost reduction; power cables; power generation economics; power generation reliability; probability; wind power plants; estimation customer cost reduction; network reliability; outage costs; power lines; probabilistic wind generation; regulatory institutions; time-variable loads; wind generators; wind power economics; wind power integration; wind resource; Generators; Interrupters; Power supplies; Power system reliability; Reliability; Wind power generation; Wind speed; cost benefit analysis; power distribution lines; power system economics; power system reliability; wind energy integration;
  • 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.2014.6960604
  • Filename
    6960604