• DocumentCode
    1760001
  • Title

    Real Time Parameter Estimation for Power Quality Control and Intelligent Protection of Grid-Connected Power Electronic Converters

  • Author

    Sumner, M. ; Abusorrah, Abdullah ; Thomas, David ; Zanchetta, Pericle

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Nottingham, Nottingham, UK
  • Volume
    5
  • Issue
    4
  • fYear
    2014
  • fDate
    41821
  • Firstpage
    1602
  • Lastpage
    1607
  • Abstract
    This paper presents a method to identify power system impedance in real-time using signals obtained from grid- connected power electronic converters. The proposed impedance estimation has potential applications in renewable/distributed energy systems, STATCOM, and solid state substations. The method uses wavelets to analyze transients associated with small disturbances imposed by power converters and determine the net impedance back to the source. A data capture period of 5 ms is applied to an accurate impedance estimation which provides the possibility of ultra fast fault detection (i.e., within a half cycle). The paper describes how the proposed method would enhance the distributed generation operation during faults.
  • Keywords
    distributed power generation; power control; power convertors; power supply quality; power system parameter estimation; power system protection; static VAr compensators; STATCOM; distributed energy systems; distributed generation operation; grid-connected power electronic converters; intelligent protection; power quality control; power system impedance identification; real time parameter estimation; renewable energy systems; solid state substations; Circuit faults; Continuous wavelet transforms; Estimation; Frequency measurement; Impedance; Impedance measurement; Fault location; STATCOM; impedance measurement; power quality; protection;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2298495
  • Filename
    6807521