• DocumentCode
    75311
  • Title

    A Robust Wind Power Optimization Method for Look-Ahead Power Dispatch

  • Author

    Wenchuan Wu ; Jianhua Chen ; Boming Zhang ; Hongbin Sun

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    5
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    507
  • Lastpage
    515
  • Abstract
    The main purpose of the look-ahead dispatch is to manage operational uncertainties over the next several hours, with benefits for the exploitation of renewable energy resources. This paper describes a robust optimization (RO) model for wind power look-ahead dispatch. The model calculates allowable interval solutions for wind power generation and provides optimal economic solutions for conventional power generation to mitigate the uncertainty inherent to wind power. By introducing the interval values as control targets for wind farms, the method can reduce the curtailment of wind power and the frequency of regulation. Interval wind power look-ahead dispatch is a two-layer RO problem, which can be transformed into a quadratic programming problem using strong duality theory, allowing for a more straightforward solution. The results of numerical simulations using the IEEE RTS system, as well as field tests using a 1.8-GW transmission system, are reported.
  • Keywords
    duality (mathematics); numerical analysis; optimisation; power generation dispatch; renewable energy sources; wind power plants; IEEE RTS system; duality theory; look-ahead power dispatch; numerical simulations; operational uncertainty; optimal economic solutions; quadratic programming; renewable energy resources; robust optimization; robust wind power optimization; transmission system; wind farms; wind power generation; Optimization; Robustness; Schedules; Uncertainty; Wind farms; Wind power generation; Dynamic economic dispatch; robust optimization (RO); wind power dispatch;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2013.2294467
  • Filename
    6722890