Removal of nuisance signals in electric grid disturbance data

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141626
DOIs
Publication statusPublished - Jan 2020
Event2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 - Cape Town, South Africa
Duration: 29 Jan 202031 Jan 2020

Publication series

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

Conference

Conference2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020
CountrySouth Africa
CityCape Town
Period29.01.202031.01.2020

Keywords

  • Decaying DC offset
  • Digital Fault Recorders (DFRs)
  • Electrical Grid
  • Intelligent Electronic Devices (IEDs)
  • Interharmonics
  • Signal processing

Fingerprint Dive into the research topics of 'Removal of nuisance signals in electric grid disturbance data'. Together they form a unique fingerprint.

Cite this