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Energies 2017, 10(5), 657; doi:10.3390/en10050657

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

1,2
and
1,2,*
1
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
2
Research Center for Renewable Energy Generation Engineering of Ministry of Eduction, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 26 March 2017 / Revised: 1 May 2017 / Accepted: 2 May 2017 / Published: 9 May 2017
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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 The traditional low-order system frequency response (SFR) model is no longer applicable at the current time.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. View Full-Text
Keywords: dynamic frequency response characteristic; low-order; small signal analysis; distributed wind power generation systems; auxiliary frequency controller dynamic frequency response characteristic; low-order; small signal analysis; distributed wind power generation systems; auxiliary frequency controller
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Quan, R.; Pan, W. A Low-Order System Frequency Response Model for DFIG Distributed Wind Power Generation Systems Based on Small Signal Analysis. Energies 2017, 10, 657.

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