Application of SVD method for signal parameters estimation in systems with DFIG

Signal parameters estimation is an important prerequisite for assessment of power quality (PQ) indices. Nowadays, large amounts of measured data need to be automatically processed for appropriate and useful data mining in PQ. Especially, modern wind generators are often seen as sources of PQ disturb...

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Bibliographic Details
Main Authors: Janik, P., Ruczewski, P., Waclawek, Z., Lobos, T., Schostan, S., Schulz, D.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Current measurement
Data mining
DFIG
Generators
Harmonic analysis
Mathematical model
Power harmonic filters
Power Quality
Reactive power
SVD method
Wind Turbines
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Summary:Signal parameters estimation is an important prerequisite for assessment of power quality (PQ) indices. Nowadays, large amounts of measured data need to be automatically processed for appropriate and useful data mining in PQ. Especially, modern wind generators are often seen as sources of PQ disturbances, which should be constantly supervised. The authors propose an application of modified singular value decomposition (SVD) method for signal parameters estimation. Results of the proposed method are compared with broadly used Fourier Transform. A mechanical model of doubly fed induction generator (DFIG) operating in various conditions was chosen as a source of disturbed signals. Research results verify the usefulness of SVD based method. Additionally, the dependence between operating mode of a DFIG and generated disturbance parameters was observed.
ISSN:2158-2246
DOI:10.1109/HSI.2008.4581523