Realization of State-Estimation-Based DFIG Wind Turbine Control Design in Hybrid Power Systems Using Stochastic Filtering Approaches

IEEE Transactions on Industrial Informatics

Volumn 12, Issue 3, 2016, Pages 1084-1092

  Yu, Shenglong ^a   Fernando, Tyrone ^a   Iu, Herbert Ho Ching ^a   Emami, Kianoush ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Doubly Fed Induction Generator; Dynamic State Estimation; Extended Kalman Filter; Particle Filter; PMU; Unscented Kalman Filter

Indexed keywords

COMPLEX NETWORKS; CONTROLLERS; ELECTRIC FAULT CURRENTS; ELECTRIC POWER SYSTEM CONTROL; ESTIMATION; EXTENDED KALMAN FILTERS; KALMAN FILTERS; MONTE CARLO METHODS; NONLINEAR FILTERING; PHASOR MEASUREMENT UNITS; STATE ESTIMATION; STOCHASTIC SYSTEMS; UNITS OF MEASUREMENT; WIND POWER; WIND TURBINES;

DOUBLY FED INDUCTION GENERATOR (DFIG); DOUBLY FED INDUCTION GENERATORS; DYNAMIC STATE ESTIMATION; MATHEMATICAL ALGORITHMS; PARTICLE FILTER; POWER SYSTEM NETWORKS; STOCHASTIC FILTERING; UNSCENTED KALMAN FILTER;

ASYNCHRONOUS GENERATORS;

EID: 84976271089     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2016.2549940     Document Type: Article

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