• DocumentCode
    2310483
  • Title

    Power quality problem classification using support vector machine

  • Author

    Susukh, Jatumeth ; Premrudeepreechacharn, Suttichai ; Kasirawat, Tirapong

  • Author_Institution
    Provincial Electr. Authority (PEA), Chiang Mai, Thailand
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    This paper presents a classification method for power quality problems in electrical power systems. To improve the electric power quality, sources of disturbances must be known and controlled. Power quality disturbance waveform recognition is often troublesome because it involves a broad range of disturbance categories or classes. This is a study of power quality problem classification using support vector machine. After training support vector machine, the parameter of support vector machine is obtained for using to classify the power quality problems. The support vector machine is able to classify 4 types for power quality problems correctly.
  • Keywords
    power supply quality; power system analysis computing; support vector machines; electrical power systems; power quality disturbance waveform recognition; power quality problem classification; support vector machine; Frequency; Harmonic distortion; Monitoring; Neural networks; Power quality; Power system harmonics; Power systems; Support vector machine classification; Support vector machines; Voltage fluctuations; Power quality; Support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5136965
  • Filename
    5136965