Removal of nuisance signals in electric grid disturbance data

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

An iterative algorithm for filtering out nuisance signals in recorded fault and disturbance data is presented. The intended application of the algorithm is removal of transient signal components (due to instrument transformers and network transient processes) as well as interharmonics in short-duration digital records of voltage and current signals. Output of the algorithm is a system frequency dynamic phasor which can be used in the automated disturbance data analysis in power systems. Commonly used, the Fourier transform based signal processing algorithms are not able to efficiently filter such components. Due to short lengths of recorded signals, frequency resolution of the Fourier transform based algorithms is not sufficient for this application. To demonstrate practicality and accuracy of the proposed algorithm several simulation experiments are devised and results are presented in the paper.

OriginalspracheEnglisch
Titel2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781728141626
DOIs
PublikationsstatusVeröffentlicht - Jän. 2020
Veranstaltung2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 - Cape Town, Südafrika
Dauer: 29 Jän. 202031 Jän. 2020

Publikationsreihe

Name2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020

Konferenz

Konferenz2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020
Land/GebietSüdafrika
OrtCape Town
Zeitraum29.01.202031.01.2020

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