• DocumentCode
    87399
  • Title

    Control Strategies for Wind-Farm-Based Smart Grid System

  • Author

    Howlader, Abdul Motin ; Urasaki, N. ; Saber, Ahmed Yousuf

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan
  • Volume
    50
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    3591
  • Lastpage
    3601
  • Abstract
    To incorporate the abundance of renewable energy into the power system, it is required to reconfigure the energy system. An intelligent power grid such as the smart grid is the solution for future energy demand. Among several renewable sources, the wind energy conversion system (WECS) is the rapidly growing source of energy, which is considered as the backbone of renewable energy and the smart grid. This paper deals with control strategies of distributed wind farms that are connected to smart houses for a smart grid application. A grid-side energy storage system is considered to deliver smooth power to the system. Stable control strategies under the line fault condition are also discussed in this paper. The surplus power of the smart houses is sent back to the power grid, and a house owner can benefit by selling the extra power to the power company. The detailed modeling and control strategies of an intelligent power system are demonstrated in this paper. The effectiveness of the proposed system is verified by the extensive numerical simulation results.
  • Keywords
    power generation control; smart power grids; wind power plants; control strategies; grid-side energy storage system; intelligent power grid; renewable energy; wind energy conversion system; wind-farm-based smart grid system; Circuit faults; Energy storage; Rotors; Smart grids; Voltage control; Wind farms; Wind turbines; Doubly fed induction generator; electric double-layer capacitor (EDLC); fault condition; power smoothing; smart grid; smart house; wind farm;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2304411
  • Filename
    6730939