• DocumentCode
    570453
  • Title

    Research on energy storage system capacity allocation to improve wind power integration capability

  • Author

    Li, Junhui ; Yan, Gangui ; Xie, Guoqiang ; Mu, Gang ; Feng, Xiaodong ; Liu, Yang ; Cui, Xinzhen ; Ge, Weichun

  • Author_Institution
    Sch. of Electr. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For large-scale wind power access to the grid based on thermal power peaking, the structure of power and peaking capability restrict the accessing of large-scale wind power. Large-scale energy storage system can achieve load space-time translation and improve security and economy of power grid operation. In this paper, considering factors of storage cost, wind power investment cost and wind power revenue, a storage capacity optimal allocation method by using large-scale storage is presented to improve the grid ability of integrating wind power. This method is applied in simulations where a typical power load of a province in 2010 is considered. The results verify the effectiveness and feasibility of the proposed method.
  • Keywords
    energy storage; power grids; wind power; economy improvement; energy storage system capacity allocation; grid ability improvement; large-scale wind power access; load space-time translation; power grid operation; security improvement; storage cost; thermal power peaking; wind power integration capability improvement; wind power investment cost; wind power revenue; Batteries; Educational institutions; Optimization; Power grids; Wind power generation; energy storage configuration; thermal power peaking; wind power integration capacity;
  • 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.2012.6303280
  • Filename
    6303280