• DocumentCode
    2018651
  • Title

    Active power economic dispatch of wind farm cluster based on integer linear programming

  • Author

    Li Lin ; Chenchen Zhu ; Qian Wang ; Jie Zeng

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with, Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The existing active power control methods which take single wind farm as a unit and regulate it independently cannot satisfy the complex control demand of large-scale wind power base. Therefore, wind farms are unitized as wind farm cluster (WFC) as a whole in this paper. An active power economic dispatch model of WFC considering short-term wind power prediction is proposed, which aims at maximizing the active power output of WFC while minimizing tie line power loss. As this dispatch model is a complicated integer programming problem with nonlinear constraints, it is transferred to the integer linear programming (ILP) problem and solved by commercial MILP solvers under the general algebraic modeling system (GAMS). Simulation results of an actual WFC in Northeast China proved the method to be effective and feasible.
  • Keywords
    integer programming; linear programming; power control; power system control; power system economics; wind power plants; Northeast China; active power control methods; active power economic dispatch model; active power output; commercial MILP solvers; complex control demand; general algebraic modeling system; integer linear programming; large-scale wind power base; nonlinear constraints; short-term wind power prediction; tie line power loss; wind farm cluster; Dispatching; Economics; Power control; Power grids; Real-time systems; Wind farms; Wind power generation; Active power; Economic dispatch; Integer Linear Programming; Short-term wind power prediction; Wind farm cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652205
  • Filename
    6652205