• DocumentCode
    2041521
  • Title

    General average model of D-PMSG and its application with virtual inertia control

  • Author

    Li Xu ; Gang Wang ; Lijun Fu ; You Wu ; Qiaoming Shi

  • Author_Institution
    Nat. Key Lab. for Vessel Integrated Power, Naval Univ. of Eng., Wuhan, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    802
  • Lastpage
    807
  • Abstract
    In order to study the dynamic characteristics of multi-machine coordinated virtual inertial control, it is necessary to develop a simplified model of wind turbine generator system(WTGS). This paper presents a general average model (GA model) of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG) which ignores the dynamic influence of converter switch. And a detailed implementation method of virtual inertia control using the GA model has been proposed. According to the results of simulation and experimental test, the proposed GA model of D-PMSG has the same dynamic characteristics with the detailed simulation model and significantly improves the simulation speed of the system, which lays the foundation for multi-machine coordinated virtual inertial control research.
  • Keywords
    inertial systems; maximum power point trackers; permanent magnet generators; power convertors; power generation control; synchronous generators; wind turbines; D-PMSG; GA model; MPPT control; WTGS; converter switch; directly-driven wind turbine; dynamic characteristics; general average model; multimachine coordinated virtual inertial control; permanent magnet synchronous generator; virtual inertia control; wind turbine generator system; Frequency control; Generators; Load modeling; Mathematical model; Rotors; Wind speed; Wind turbines; D-PMSG; general average model; simulation speed; virtual inertia control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237588
  • Filename
    7237588