Integrating the S-PQDA software tool in the utility power quality management system

M. F. Faisal, Azah Mohamed

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

Abstract

This paper presents a smart power quality data a analyzer (S-PQDA) or power quality diagnosis software (PQDS) tool that performs power quality (PQ) diagnosis on the PQ disturbance data recorded by an online PQ monitoring system. The software tool enables power utility engineers to perform automatic PQ disturbance detection, classification and diagnosis of the disturbances. The PQDS also assists the power utility engineers in identifying the existence of incipient faults due to partial discharges in the cable compartment. The overall accuracy of the software in performing PQ diagnosis is 96.4%.

Original languageEnglish
Title of host publication2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011
Pages966-970
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011 - Niagara Falls, ON
Duration: 15 May 201118 May 2011

Other

Other2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011
CityNiagara Falls, ON
Period15/5/1118/5/11

Fingerprint

Quality management
Power quality
Engineers
Partial discharges
Cables
Monitoring

Keywords

  • artificial intelligence
  • incipient faults
  • power quality
  • signal processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Faisal, M. F., & Mohamed, A. (2011). Integrating the S-PQDA software tool in the utility power quality management system. In 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011 (pp. 966-970). [5994947] https://doi.org/10.1109/IEMDC.2011.5994947

Integrating the S-PQDA software tool in the utility power quality management system. / Faisal, M. F.; Mohamed, Azah.

2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011. 2011. p. 966-970 5994947.

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

Faisal, MF & Mohamed, A 2011, Integrating the S-PQDA software tool in the utility power quality management system. in 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011., 5994947, pp. 966-970, 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011, Niagara Falls, ON, 15/5/11. https://doi.org/10.1109/IEMDC.2011.5994947
Faisal MF, Mohamed A. Integrating the S-PQDA software tool in the utility power quality management system. In 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011. 2011. p. 966-970. 5994947 https://doi.org/10.1109/IEMDC.2011.5994947
Faisal, M. F. ; Mohamed, Azah. / Integrating the S-PQDA software tool in the utility power quality management system. 2011 IEEE International Electric Machines and Drives Conference, IEMDC 2011. 2011. pp. 966-970
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