• DocumentCode
    2047424
  • Title

    On spinning reserve determination and power generation dispatch optimization for wind power integration systems

  • Author

    Shu Xia ; Ming Zhou ; Gengyin Li ; Yang Liu ; Meng Xiang

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A joint optimization dispatching model of active power and AGC for wind power integration systems is proposed. In the mathematical model, both the probabilistic distributions of load and wind forecast errors are introduced to deal with the uncertainties. To make the optimization results more rational, an approach on spinning reserve determination for wind power integration systems is presented based on a given risk level. To describe the operation state more accurately, a method of multi-scenario is adopted and the actual output of AGC generators will be adjusted according to the AGC unit modification strategy in each scenario. The case studies are carried out on a system with 10 AGC units and a wind farm. Compared to conventional dispatch method, the results show that the proposed optimization model is rational.
  • Keywords
    mathematical analysis; optimisation; power generation dispatch; probability; wind power plants; AGC generators; active power; optimization dispatching model; power generation dispatch optimization; probabilistic distributions; spinning reserve determination; wind power integration systems; Automatic generation control; Generators; Optimization; Spinning; Wind farms; Wind power generation; Wind speed; AGC; joint optimization; multi-objective optimization; spinning reserve; wind power;
  • 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.2012.6344879
  • Filename
    6344879