Extending the modeling framework for wind generation systems: RLS-based paradigm for performance under high turbulence inflow

IEEE Transactions on Energy Conversion

Volumn 24, Issue 1, 2009, Pages 211-221

  Muhando, Endusa Billy ^a   Senjyu, Tomonobu ^a   Kinjo, Hiroshi ^a   Funabashi, Toshihisa ^b  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

^b MEIDENSHA CORPORATION   (Japan)

Author keywords

Aerodynamic power; Drivetrain torsional torque; Pitch control; Recursive least squares (RLSs); Self tuning regulator (STR); State estimation; Turbine modeling; Turbulence

Indexed keywords

AERODYNAMICS; CURVE FITTING; ELECTRIC UTILITIES; ENGINES; LEAST SQUARES APPROXIMATIONS; NONLINEAR EQUATIONS; PROPORTIONAL CONTROL SYSTEMS; RECURSIVE FUNCTIONS; STATE ESTIMATION; STOCHASTIC MODELS; TECHNOLOGICAL FORECASTING; TIMING CIRCUITS; TUNING; TURBINES; TURBULENCE; VOLTAGE CONTROL;

AERODYNAMIC POWER; DRIVETRAIN TORSIONAL TORQUE; PITCH CONTROL; RECURSIVE LEAST SQUARES (RLSS); SELF-TUNING REGULATOR (STR);

WIND POWER;

EID: 61649092017     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2008.2008897     Document Type: Article

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