Automating power quality disturbance analysis using the IPQDA software tool

Hasniaty, Azah Mohamed, Aini Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Automatic recognition of power quality (PQ) disturbances with regards to PQ monitoring is highly desired by both utilities and commercial customers. This paper presents the development of the Intelligent Power Quality Data Analysis (IPQDA) software tool for the purpose of automatic disturbance classification. The main capabilities of the software include analysis of disturbance waveforms, classification of various types of PQ disturbances and notification of a disturbance. An important feature of the software is that it can automatically send email or short messaging notifications upon identification of a disturbance so as to alert a system operator of a disturbance. In the software development, the two main tasks performed are feature extraction and automatic disturbance classification. Initially, disturbance waveforms are analyzed using the signal processing techniques such as the linear predictive coding and the fast Fourier transform techniques. The feature extraction process of PQ disturbance waveforms is to project a PQ signal into a low-dimension time frequency representation which is deliberately design for maximizing the separability between classes. The unique features of the PQ disturbances are extracted and used in the intelligent analysis too. The second task is to automatically classify the PQ disturbances into different categories of disturbances based on the features extracted from the processed waveform signal The classification task was performed by developing a rule based expert system in Visual Basic. To verify the accuracy of the developed software tool, it has been tested with 500 recorded voltage disturbance signals which are obtained from PQ monitoring at various sites. In this paper, the focus is to highlight on the accuracy of the software in automatically classifying the distinct categories of PQ disturbance types such as voltage sag, swell, notching and transient. In addition, a statistical analysis has also been performed to further validate the results obtained.

Original languageEnglish
Title of host publicationSCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region"
Pages211-214
Number of pages4
DOIs
Publication statusPublished - 2006
Event2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006 - Shah Alam
Duration: 27 Jun 200628 Jun 2006

Other

Other2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006
CityShah Alam
Period27/6/0628/6/06

Fingerprint

Power quality
Feature extraction
Monitoring
Electronic mail
Electric potential
Fast Fourier transforms
Expert systems
Software engineering
Statistical methods
Signal processing

Keywords

  • Expert system
  • Fast fourier transform
  • Linear predictive code
  • Power quality

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Hasniaty, Mohamed, A., & Hussain, A. (2006). Automating power quality disturbance analysis using the IPQDA software tool. In SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region" (pp. 211-214). [4339340] https://doi.org/10.1109/SCORED.2006.4339340

Automating power quality disturbance analysis using the IPQDA software tool. / Hasniaty; Mohamed, Azah; Hussain, Aini.

SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. p. 211-214 4339340.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hasniaty, Mohamed, A & Hussain, A 2006, Automating power quality disturbance analysis using the IPQDA software tool. in SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region"., 4339340, pp. 211-214, 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", SCOReD 2006, Shah Alam, 27/6/06. https://doi.org/10.1109/SCORED.2006.4339340
Hasniaty, Mohamed A, Hussain A. Automating power quality disturbance analysis using the IPQDA software tool. In SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. p. 211-214. 4339340 https://doi.org/10.1109/SCORED.2006.4339340
Hasniaty ; Mohamed, Azah ; Hussain, Aini. / Automating power quality disturbance analysis using the IPQDA software tool. SCOReD 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region". 2006. pp. 211-214
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