Multiple signal processing techniques based power quality disturbance detection, classification, and diagnostic software

Ruben Barros Godoy, Joào Onofre Pereira Pinto, Luigi Galotto

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

14 Scopus citations

Abstract

This work presents the development steps of the software PQMON, which targets power quality analysis applications. The software detects and classifies electric system disturbances. Furthermore, it also makes diagnostics about what is causing such disturbances and suggests line of actions to mitigate them. Among the disturbances that can be detected and analyzed by this software are: harmonics, sag, swell and transients. PQMON is based on multiple signal processing techniques. Wavelet transform is used to detect the occurrence of the disturbances. The techniques used to do such feature extraction are: Fast Fourier Transform, Discrete Fourier Transform, Periodogram, and statistics. Adaptive Artificial Neural Network is also used due to its robustness in extracting features such as fundamental frequency and harmonic amplitudes. The probable causes of the disturbances are contained in a database, and their association to each disturbance is made through a cause-effect relationship algorithm, which is used to diagnose. The software also allows the users to include information about the equipments installed in the system under analysis, resulting in the direct nomination of any installed equipment during the diagnostic phase. In order to prove the effectiveness of software, simulated and real signals were analyzed by PQMON showing its excellent performance.

Original languageEnglish
Title of host publication2007 9th International Conference on Electrical Power Quality and Utilisation, EPQU
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 9th International Conference on Electrical Power Quality and Utilisation, EPQU - Barcelona, Spain
Duration: Oct 9 2007Oct 11 2007

Publication series

Name2007 9th International Conference on Electrical Power Quality and Utilisation, EPQU

Conference

Conference2007 9th International Conference on Electrical Power Quality and Utilisation, EPQU
Country/TerritorySpain
CityBarcelona
Period10/9/0710/11/07

Keywords

  • Artificial neural networks
  • Classification
  • Diagnostic
  • Disturbance of power quality
  • Wavelets

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