Denoising and detrending of measured oscillatory signal in power system

• Autorzy: Yang D. , Rehtanz C. , Li Y. , Liu Q. , Görner K.

Warianty tytułu

PL

Usuwanie szumu i trendu w zmierzonym sygnale okresowym systemu WAMS

• Języki publikacji: EN

Abstrakty

EN

This paper presents a novel method for denoising and detrending of oscillatory signal measured from wide area measurement system (WAMS) using empirical mode decomposition (EMD) and time-frequency analysis. First of all, the measured signal is decomposed into a set of intrinsic mode functions (IMFs) by EMD. Next, the IMFs are divided into three parts based on their time and frequency distributions. Then, the noise and higher frequency components, trend components and meaningful oscillation modes are identified respectively. The proposed method are validated by the actual measured signal from WAProtector and the estimated trend is confirmed by comparing with the sliding linear trend estimated method and other nonlinear trend estimated methods.

PL

W artykule zaprezentowano nową metodę usuwania szumu z sygnału okresowego w systemach WAMS. W pierwszej kolejności przeprowadza się dekompozycję sygnału na funkcje, które następnie dzielone są na trzy części w zależności od rozkładu czasowoczęstotliwościowego.

Słowa kluczowe

EN

empirical mode decomposition; intrinsic mode functions; signal energy; frequency distribution estimated trend

PL

szum; trend; WAMS

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 3b
• Strony: 135--139
• Opis fizyczny: Bibliogr. 12 poz., schem., wykr.

Twórcy

autor

Yang D.

autor

Rehtanz C.

autor

Li Y.

autor

Liu Q.

autor

Görner K.

• Institute of Power Systems and Power Economics, Emil-Figge-Str. 70, 44227 Dortmund, Germany,

Bibliografia

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• [6] Zhou N, Trudnowski D, Pierre J. W. et al.An Algorithm for Removing Trends from Power-System Oscillation Data. Proceedings of IEEE power Engineering Society General Meeting, 2008.
• [7] Messina A R. Inter-area oscillations in power systems a nonlinear and non-stationary perspective. Berlin, Springer Press, 2009.
• [8] Mu G, Shi K, An J, et al. Signal energy method based on EMD and its application to research of low frequency oscillation. Proceedings of the CSEE, 28(2008), No.19, 36-41. (in chinese)
• [9] Flandrin P, Rilling G, Gonçalvés P. Empirical mode decomposition as a filter bank. IEEE Signal Process. Lett, 11(2004), No.2, 112-114.
• [10] Flandrin P, Gonçalvés P, Rilling G. Detrending and denosing with empirical mode decompositions. Proceedings of the European Signal Processing Conference (EUSIPCO '04), Aalborg,Denmark ,2004.
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• [12] Matlab User's Guide, version 7.0.4.365, The MathWorks, Inc., Jan 2005.