scholarly journals Intelligent maximum power extraction control for wind energy conversion systems based on online Q-learning with function approximation

2014 ◽  
Author(s):  
Chun Wei ◽  
Zhe Zhang ◽  
Wei Qiao ◽  
Liyan Qu
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Function Approximation ◽  
Maximum Power ◽  
Q Learning ◽  
Power Extraction ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Energy Conversion Systems

A sensorless fuzzy-based maximum power point tracker for micro and small wind energy conversion systems

2012 ◽  
Vol 13 (5) ◽  
Author(s):  
Lucio Ippolito
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Maximum Power ◽  
Power Extraction ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Variable Speed Wind Turbine ◽  
Energy Conversion Systems ◽  
Power Point ◽  
Takagi Sugeno

Abstract This paper deals with a small wind energy conversion system (WECS), equipped with a variable-speed wind turbine and a fuzzy Takagi-Sugeno-Kang (TSK) wind estimator is proposed for the maximum power extraction. Using the estimated wind speed, which is usually obtained employing anemometers, a fuzzy-based control system is able to determine and regulate rotor speed for the maximum power extraction. The adoption of a sensorless strategy, especially for small size wind generation systems, leads to lower costs and improved reliability of the overall system.

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