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A Low-Order System Frequency Response Model for DFIG Distributed Wind Power Generation Systems Based on Small Signal Analysis

Author

Listed:
  • Rui Quan

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
    Research Center for Renewable Energy Generation Engineering of Ministry of Eduction, Hohai University, Nanjing 210098, China)

  • Wenxia Pan

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
    Research Center for Renewable Energy Generation Engineering of Ministry of Eduction, Hohai University, Nanjing 210098, China)

Abstract

Integrating large amounts of wind power into power systems brings a large influence on the dynamic frequency response characteristic (DFRC). The traditional low-order system frequency response (SFR) model is no longer applicable at the current time. Based on the small signal analysis theory, a set of novel low-order SFR models for doubly-fed induction generator (DFIG) distributed wind power generation systems (DWPGS) are derived under low, medium, and high wind speed conditions, respectively. Time-domain simulations have been conducted on PSCAD/EMTDC, and the novel SFR model is tested and evaluated on a real system. The simulation results from the novel model agree with those from the detailed model. The novel SFR model can also directly show the impact of the initial wind speed and auxiliary frequency controller (AFC) parameters on DFRC, but not on the detailed model.

Suggested Citation

  • Rui Quan & Wenxia Pan, 2017. "A Low-Order System Frequency Response Model for DFIG Distributed Wind Power Generation Systems Based on Small Signal Analysis," Energies, MDPI, vol. 10(5), pages 1-15, May.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:657-:d:97995
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    References listed on IDEAS

    as
    1. Wenying Liu & Rundong Ge & Quancheng Lv & Huiyong Li & Jiangbei Ge, 2015. "Research on a Small Signal Stability Region Boundary Model of the Interconnected Power System with Large-Scale Wind Power," Energies, MDPI, vol. 8(4), pages 1-25, March.
    2. Christina N. Papadimitriou & Nicholas A. Vovos, 2010. "Transient Response Improvement of Microgrids Exploiting the Inertia of a Doubly-Fed Induction Generator (DFIG)," Energies, MDPI, vol. 3(6), pages 1-18, June.
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