Automating Power Quality Disturbance Analysis Using the IPQDA Software Tool

@article{Hasniaty2006AutomatingPQ,
  title={Automating Power Quality Disturbance Analysis Using the IPQDA Software Tool},
  author={Hasniaty and Azah Mohamed and Abrar Hussain},
  journal={2006 4th Student Conference on Research and Development},
  year={2006},
  pages={211-214}
}
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… CONTINUE READING
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Oscillatory [ 3 ] IEEE Recommended Practice for Monitoring Electric Power Quality

  • Aini Hussain, Azah Mohamed, Mohd Hanif Md Saad
  • Intelligent Analysis of Power Quality…
  • 2005

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