• DocumentCode
    570357
  • Title

    Multi-time scales coordination scheduling of wind power integrated system

  • Author

    Wang, Kui ; Zhang, Buhan ; Wu, Xiaoshan ; Zhai, Jiajun ; Shao, Wen ; Duan, Yao

  • Author_Institution
    Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Coordination method between long-term and short-time generation scheduling of wind power integrated system are proposed. Long-term scheduling mainly solves unit maintenance scheduling and energy allocation among weeks, and short-term scheduling decides unit commitment and hourly power output. In order to cope with the high uncertainty of wind power and load demand, dynamic rolling generation scheduling are implemented weekly based on the updated load and wind power prediction results. A modified IEEE 118-bus system is applied to test the proposed model.
  • Keywords
    load forecasting; power generation scheduling; wind power; wind power plants; IEEE 118-bus system; dynamic rolling generation scheduling; energy allocation; load demand; multitime scale coordination scheduling; power generation scheduling; unit commitment; unit maintenance scheduling; wind power; wind power integrated system; Dynamic scheduling; Indexes; Maintenance engineering; Power systems; Wind farms; Wind power generation; long-term scheduling; multi-time scales coordination; short-term scheduling; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303174
  • Filename
    6303174