• DocumentCode
    1479453
  • Title

    Dynamic analysis of a grid-connected induction generator driven by a wave-energy turbine through hunting networks

  • Author

    Narayanan, S. S Yegna ; Murthy, Bhagwan K. ; Rao, G. Sridhara

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Madras, India
  • Volume
    14
  • Issue
    1
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    The presence of forced oscillations occurring in a Wells turbine driven grid-connected induction generator enables one to seek a solution by considering the analogy between the dynamics of Wells turbine driven systems with those associated with diesel-engine driven generators or electric motors driving reciprocating compressors, where also such forced oscillations occur, although there they occur in synchronism with shaft-position or speed. This difference is taken into account and the hunting network theory, which has hitherto been applied to the dynamic analysis of motors driving reciprocating compressors, is here applied to analyse the dynamics of a Wells turbine driven grid-connected induction generator. The method enables the generator current, power and slip to be predicted from a knowledge of the shaft-torque harmonics. The result is compared with that obtained through d-q analysis
  • Keywords
    asynchronous generators; hydraulic turbines; machine theory; oscillations; slip (asynchronous machines); turbogenerators; wave power generation; Wells turbine; dynamic analysis; forced oscillations; generator current; generator power; generator slip; grid-connected induction generator; hunting networks; shaft-torque harmonics; wave-energy turbine; Compressors; Fluctuations; Frequency conversion; Induction generators; Mesh generation; Oceans; Power generation; Turbines; Wind energy; Wind energy generation;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.749156
  • Filename
    749156