• DocumentCode
    2911982
  • Title

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

  • Author

    Faisal, M.F. ; Mohamed, A.

  • Author_Institution
    Tenaga Nasional Berhad, Petaling Jaya, Malaysia
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    966
  • Lastpage
    970
  • 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%.
  • Keywords
    data analysis; fault diagnosis; partial discharges; power cables; power engineering computing; power supply quality; power system management; power system measurement; software tools; S-PQDA software tool; incipient faults; online PQ monitoring system; partial discharges; power cable compartment; power management system; power quality diagnosis software; power utility; smart power quality data analyzer; Feature extraction; Graphical user interfaces; Monitoring; Power quality; Signal processing; Substations; Voltage fluctuations; artificial intelligence; incipient faults; power quality; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference (IEMDC), 2011 IEEE International
  • Conference_Location
    Niagara Falls, ON
  • Print_ISBN
    978-1-4577-0060-6
  • Type

    conf

  • DOI
    10.1109/IEMDC.2011.5994947
  • Filename
    5994947