• DocumentCode
    2133
  • Title

    Large Signal Stability Analysis at the Common Coupling Point of a DC Microgrid: A Grid Impedance Estimation Approach Based on a Recursive Method

  • Author

    Sanchez, Santiago ; Molinas, Marta

  • Author_Institution
    Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    122
  • Lastpage
    131
  • Abstract
    The design of microgrids at the level of distribution systems requires a stable behavior for multiple operation states. The tools used to study the stability of such systems require the estimation of the grid impedance. By the use of the grid impedance estimation around an operation point, it is possible to define a space variable-parameter to obtain a qualitative or quantitative measure from the operation to the unstable boundary. This study presents a comparison of the Kalman filter and the recursive least squares method for the estimation of the grid impedance. The grid impedance is estimated by the technique based on two neighbor operation points. The results were validated by a hardware in the loop and an experimental setup. Finally, the estimated values of the grid impedance of a microgrid are used with a large signal stability study of a dc constant power load.
  • Keywords
    Kalman filters; distributed power generation; least squares approximations; DC microgrid; Grid impedance estimation approach; Kalman filter; coupling point; dc constant power load; distribution systems; grid impedance; grid impedance estimation; large signal stability analysis; microgrids design; multiple operation states; recursive least squares method; recursive method; signal stability; space variable-parameter; Equations; Estimation; Impedance; Mathematical model; Microgrids; Power system stability; Stability analysis; Distributed power; impedance estimation; microgrid; power electronic systems; stability;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2014.2359993
  • Filename
    6928441