• DocumentCode
    3012056
  • Title

    A generalized dynamic and steady state analysis of self excited induction generator (SEIG) based on MATLAB

  • Author

    Murthy, S.S. ; Pinto, A.J.P.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi
  • Volume
    3
  • fYear
    2005
  • fDate
    29-29 Sept. 2005
  • Firstpage
    1933
  • Abstract
    This paper presents a Matlab based generalized algorithm to predict the dynamic and steady state performance of self excited induction generators (SEIG) under any combination of speed, excitation capacitor and loading. The popularity of self excited induction generator and widespread use in stand-alone applications is centered on analysis, control and design suitable for the application. Three different methods, operational equivalent circuit, Newton-Raphson and equivalent impedance method are used for analyzing under any given situation. The excitation capacitors and load combined with the d-q model of the machine, together with the saturation is used to predict the dynamic behavior of the SEIG. The algorithms are implemented as MATLAB user friendly tool boxes resulting in considerable simplification over earlier methods
  • Keywords
    Newton-Raphson method; asynchronous generators; electric machine analysis computing; equivalent circuits; mathematics computing; MATLAB; Newton-Raphson method; dynamic analysis; equivalent impedance method; excitation capacitors; operational equivalent circuit method; self excited induction generator; steady state analysis; Capacitors; Differential equations; Frequency; Induction generators; Induction motors; MATLAB; Mathematical model; Saturation magnetization; Steady-state; Voltage; Dynamic model; Induction Generator; MATLAB toolbox; Stand alone applications; capacitor self excitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    7-5062-7407-8
  • Type

    conf

  • DOI
    10.1109/ICEMS.2005.202898
  • Filename
    1575095