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author:

Li, G.-X. (Li, G.-X..) [1] | Zhou, W.-J. (Zhou, W.-J..) [2] | Xue, S.-Q. (Xue, S.-Q..) [3] | Jiang, X.-B. (Jiang, X.-B..) [4] (Scholars:江修波)

Indexed by:

Scopus PKU CSCD

Abstract:

Focusing on the signal extraction for dynamic voltage restorer in three-phase three-wire system, an advanced detection method for voltage sag based on unscented Kalman filter is presented combining with mathematical morphology filter. Nonlinear state-space model for fundamental component containing steady-state component and compensation component is established in αβ reference frame. Unscented Kalman filter is used to realize the model and mathematical morphology filter is designed to preprocess the random noise in voltage input signal. The proposed method has the functions of steady-state component estimation, compensation component extraction and decoupling detection for positive/negative sequence component amplitude and phase. Especially, the proposed method has advantages of fast response and high reliability. Simulation results verify the correctness and effectiveness of the proposed method.

Keyword:

Compensation component; Dynamic voltage restorer; Mathematical morphology filter; Steady-state component; Unscented Kalman filtering; Voltage sag

Community:

  • [ 1 ] [Li, G.-X.]School of Electrical Engineering, Wuhan University, Wuhan 430072, China
  • [ 2 ] [Li, G.-X.]Fujian Electric Power Company Limited, Fuzhou 350000, China
  • [ 3 ] [Zhou, W.-J.]School of Electrical Engineering, Wuhan University, Wuhan 430072, China
  • [ 4 ] [Xue, S.-Q.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
  • [ 5 ] [Jiang, X.-B.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • 薛尚青

    [Xue, S.-Q.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

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Source :

Power System Protection and Control

ISSN: 1674-3415

CN: 41-1401/TM

Year: 2013

Issue: 16

Volume: 41

Page: 127-132

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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