• DocumentCode
    11702
  • Title

    Qualification and Quantification of Reserves in Power Systems Under High Wind Generation Penetration Considering Demand Response

  • Author

    Paterakis, Nikolaos G. ; Erdinc, Ozan ; Bakirtzis, Anastasios G. ; Catalao, Joao P. S.

  • Author_Institution
    Dept. of Electromech. Eng., Univ. of Beira Interior, Covilh, Portugal
  • Volume
    6
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    88
  • Lastpage
    103
  • Abstract
    The presence of high levels of renewable energy resources (RES) and especially wind power production poses technical and economic challenges to system operators, which under this fact have to procure more ancillary services (AS) through various balancing mechanisms, in order to maintain the generation-consumption balance and to guarantee the security of the grid. Traditionally, these critical services had been procured only from the generation side, yet the current perception has begun to recognize the demand side as an important asset that can improve the reliability of a power system, offering notable advantages. In this study, a two-stage stochastic programming model, representing the day-ahead market clearing procedure on an hourly basis and the actual minute-to-minute operation of the power system, is developed comprising different services that specifically address various disturbance sources of the normal operation of a power system, namely intra-hour load variation, intra-hour wind variation, as well as generating unit and transmission line outages.
  • Keywords
    demand side management; electric power generation; stochastic programming; wind power; ancillary services; day ahead market clearing procedure; demand response; generating unit outages; high wind generation penetration; intrahour load variation; intrahour wind variation; power systems; renewable energy resources; transmission line outages; two stage stochastic programming model; wind power production; Load modeling; Power systems; Reliability; Spinning; Stochastic processes; Wind farms; Wind power generation; Ancillary services; contingency reserves; demand response; load-following reserves; stochastic programming;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2359688
  • Filename
    6936386