Design of intelligent controllers for wind generation system with sensorless maximum wind energy control

Energy Conversion and Management

Volumn 52, Issue 2, 2011, Pages 1086-1096

  Lin, Whei Min ^a   Hong, Chih Ming ^a   Cheng, Fu Sheng ^b  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^b CHENG SHIU UNIVERSITY   (Taiwan)

Author keywords

Induction generator; Model reference adaptive system; Recurrent fuzzy neural network; Sensorless control; Wind turbine

Indexed keywords

ELECTRIC POWER; GRID-CONNECTED; HIGH EFFICIENCY; HIGH RELIABILITY; INDUCTION GENERATOR; INTELLIGENT CONTROLLERS; LEARNING CAPABILITIES; LEARNING RATES; LIGHT WEIGHT; MECHANICAL SENSORS; MODEL REFERENCE ADAPTIVE SYSTEM; MODIFIED PARTICLE SWARM OPTIMIZATION; ONLINE TRAINING; OUTPUT MAXIMIZATION; PERFORMANCE MODEL; POSITION SENSORS; POWER APPLICATIONS; RECURRENT FUZZY NEURAL NETWORK; ROTOR SPEED; SENSOR LESS CONTROL; SENSORLESS; STAND -ALONE; VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS; VECTOR CONTROLS; WIND ENERGY; WIND GENERATION SYSTEM; WIND SPEED;

ADAPTIVE SYSTEMS; ASYNCHRONOUS GENERATORS; CONTROLLERS; ENERGY CONVERSION; FUZZY NEURAL NETWORKS; MODEL REFERENCE ADAPTIVE CONTROL; OBSERVABILITY; PARTICLE SWARM OPTIMIZATION (PSO); SENSORS; VARIABLE SPEED DRIVES; WIND POWER; WIND TURBINES;

ADAPTIVE CONTROL SYSTEMS;

EID: 78649323737     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2010.09.003     Document Type: Article

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