• DocumentCode
    2055434
  • Title

    Robust optimization with box set for reactive power optimization in wind power integrated system

  • Author

    Yuwei Yang ; Renjun Zhou ; Xiaohong Ran

  • Author_Institution
    Power Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The character of reactive power in wind power integrated system affects active power losses and voltage level of the entire system. For the influence from the randomness of wind speed to entire system power flow, a reactive power optimization model based on Robust Optimization (RO) is presented firstly. With minimizing power losses as an objective, the uncertainty of the wind speed is taken as a random variable and demonstrated in a "box" uncertainty set for transforming the uncertain constraints into the certain form. The duality theorem is utilized to simplify the model to be general linear programming ones. IEEE30-node system is used as an example to test the model and method. The results show that the random wind speed is quantitated effectively, power losses are reduced, and even the voltage of entire system can be restricted within regular range. The reactive power optimization method with RO is simple, feasible and significant.
  • Keywords
    linear programming; reactive power; wind power plants; IEEE 30-node system; active power loss; box set; box uncertainty set; duality theorem; linear programming; random variable; reactive power optimization model; robust optimization; voltage level; wind power integrated system; wind speed uncertainty; Mathematical model; Optimization; Reactive power; Uncertainty; Wind farms; Wind power generation; Wind speed; Robust Optimization (RO); box uncertainty set; duality theorem; power losses; reactive power optimization; the randomness of wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345174
  • Filename
    6345174