• DocumentCode
    482791
  • Title

    Research on dynamic stability of hybrid wind/PV system based on Micro-Grid

  • Author

    Deng, Wei ; Tang, Xisheng ; Qi, Zhiping

  • Author_Institution
    Grad. Univ. of the Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    2627
  • Lastpage
    2632
  • Abstract
    Renewable energy power generation technology, such as wind power and PV system, has developed rapidly nowadays. The wind/PV hybrid system has become a promising power generation form due to the natural complementary character of wind power and PV power. Storage devices are usually equipped in the hybrid system to constitute Micro-grid through appropriate energy management strategies to improve the reliability of the power supply. To investigate the system operating stability, a small-signal model of the hybrid wind/PV system based on micro-grid is proposed and established in this article. The model is applied to (i) small-signal analysis of the hybrid wind/PV system for identifying the reliable operating points, and (ii) design and optimize the system control strategies. The simulation results from the Matlab/Simulink environment show the model is accurate and feasible. The research in this article provides a theoretical foundation and practical method for dynamic stability analysis and control of the hybrid wind/PV system based on micro-gird.
  • Keywords
    hybrid power systems; photovoltaic power systems; power generation control; power generation reliability; power grids; power system dynamic stability; wind power plants; Matlab environment; Simulink environment; dynamic stability analysis; energy management strategies; hybrid wind-PV system control; microgrid; power supply reliability; renewable energy power generation technology; small-signal model; storage devices; Energy management; Energy storage; Mathematical model; Power system modeling; Power system reliability; Renewable energy resources; Stability; Wind energy; Wind energy generation; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771195