• DocumentCode
    2531932
  • Title

    Generation scheduling for wind power generation by storage battery system and meteorological forecast

  • Author

    Tanabe ; Sato, T. ; Tanikawa, R. ; Aoki, I. ; Funabashi, T. ; Yokoyama, R.

  • Author_Institution
    MEIDENSHA Corp., Tokyo
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Ministry of Economy, Trade, and Industry in Japan published a target to install 3 GW wind power generation to be connected to grids by 2010. However, as outputs from wind power generation fluctuate time to time and wind power resources are available only in specific areas, deterioration of the quality of utilitypsilas power supply has become an important issue to be solved. As a countermeasure for the problem, the government began to subsidize wind power generators for storage battery systems, which enable them to make fluctuations of wind power outputs smooth. Also, an electric power company has announced technical-requirements to connect such systems to the grid. One of the requirements is to stabilize fluctuating outputs of wind power generation within a prescribed level, and the other is to operate wind power generation according to a submitted generation schedule. This paper presents two types of control systems to meet these requirements. Each control system was verified to be practical by simulations based on an actual network and data. Necessary capacities of the storage battery to fulfill two technical-requirements are determined respectively. In addition, the validity of the proposed control schemes and usefulness of storage batteries to realize the scheduled generation of wind farms are described.
  • Keywords
    battery storage plants; load forecasting; power generation scheduling; wind power plants; electric power company; generation scheduling; meteorological forecast; storage battery system; wind farms; wind power generation; wind power outputs; Batteries; Economic forecasting; Job shop scheduling; Meteorology; Power generation; Weather forecasting; Wind energy; Wind energy generation; Wind forecasting; Wind power generation; Generation scheduling; Meteorological forecast; Output power estimation; Sodium sulfur battery; Storage battery system; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596116
  • Filename
    4596116