• DocumentCode
    64348
  • Title

    Joint Voltage and Phase Unbalance Detector for Three Phase Power Systems

  • Author

    Sun, Ming ; Demirtas, Sefa ; Sahinoglu, Zafer

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
  • Volume
    20
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    This letter develops a fast detection algorithm for voltage and phase unbalance in three phase power systems. It is suitable for real time applications since the required observation length is one cycle. It is shown to successfully detect small unbalance conditions at low SNRs. Its detection performance is shown to outperform traditional detectors that rely on changes in only a subset of positive, negative and zero sequence voltages. Unbalance detection is formulated as a hypothesis test under a framework of detection theory and solved by applying a generalized likelihood ratio test (GLRT). We first obtain an approximate maximum likelihood estimate (MLE) of the system frequency and then use it to substitute the true unknown frequency in the GLRT. A closed form expression is provided to detect unbalance conditions. Theoretical derivations are supported by simulations.
  • Keywords
    maximum likelihood estimation; power systems; detection theory; fast detection algorithm; generalized likelihood ratio test; hypothesis test; maximum likelihood estimate; negative sequence voltages; phase unbalance detector; positive sequence voltages; three phase power systems; unbalance detection; voltage unbalance detector; zero sequence voltages; Detectors; Frequency estimation; Maximum likelihood estimation; Noise; Power system stability; Synchronization; Vectors; Frequency estimation; GLRT; phase unbalance; three-phase power systems; utility grid; voltage unbalance;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2226717
  • Filename
    6341798