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000000331 001__ 331
000000331 037__ $$aENY-ARTICLE-2009-263
000000331 041__ $$aeng
000000331 100__ $$aJanik, P$$uWroclaw University of Technology, Poland
000000331 245__ $$aComputation of Spectral Components in System with Wind Generation Unit
000000331 260__ $$c2009-05-10
000000331 300__ $$a6p
000000331 500__ $$a2009 IEEE Bucharest Power Tech Conference, July 2009, Bucharest , Romania
000000331 520__ $$aSignal parameters estimation is an important prerequisite for assessment of power quality (PQ) indices. Nowadays, large amounts of measured data need to be automatically processed for appropriate and useful data mining in PQ. Especially, modern wind generators are often seen as sources of PQ disturbances, which should be constantly supervised. The authors propose an application of modified Singular Value Decomposition (SVD) method for signal parameters estimation. Results of the proposed method are compared with broadly used Fourier Transform. Additionally,, results from Prony method are presented. A mechanical model of doubly fed induction generator (DFIG), operating in various conditions was chosen as a source of disturbed signals. Research results verify the usefulness of SVD based method.
000000331 6531_ $$aPower Quality
000000331 6531_ $$aSVD
000000331 6531_ $$ainterharmonics
000000331 6531_ $$aProny Method
000000331 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000331 700__ $$aRezmer, J$$uWroclaw University of Technology, Poland
000000331 700__ $$aSchegner, P$$uTechnical University of Dresden, Germany
000000331 700__ $$aWaclawek, Z$$uWroclaw University of Technology, Poland
000000331 8560_ $$fleon99@pwr.wroc.pl
000000331 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/331/files/$$zAccess to Fulltext
000000331 909CO $$ooai:zet10.pwr.wroc.pl:331$$pglobal
000000331 980__ $$aARTICLE