Title :
An algorithm for removing trends from power-system oscillation data
Author :
Zhou, N. ; Trudnowski, D. ; Pierre, J.W. ; Sarawgi, S. ; Bhatt, N.
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA
Abstract :
When analyzing the electromechanical dynamic properties of power-system field-measurement data using signal processing techniques, it is often useful to identify and remove the slow trends within the data. This paper proposes an iterative non-linear trend identification algorithm. The proposed method adapts the upper and lower envelope idea proposed by empirical mode decomposition (EMD) method to identify the trend. The comparison with conventional trend identification methods are made with simulation data. Also, the proposed algorithm is applied to a field measurement data set to evaluate its performance.
Keywords :
iterative methods; oscillations; power system measurement; signal processing; electromechanical dynamic properties; empirical mode decomposition; iterative nonlinear trend identification algorithm; power-system field-measurement data; power-system oscillation data; signal processing techniques; Algorithm design and analysis; Iterative algorithms; Phasor measurement units; Power generation; Power system dynamics; Power system simulation; Signal analysis; Signal processing; Signal processing algorithms; Signal to noise ratio; Detrend; Power-system oscillations; empirical mode decomposition (EMD); identification; non-linear; non-stationary; preprocessing;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596294
