Optimal estimation and control of WECS via a Genetic Neuro Fuzzy Approach

摘要: Abstract Megawatt class wind turbines generally turn at variable speed in farm. Thus turbine operation must be controlled order to maximize the conversion efficiency below rated power and reduce loading on drive train. In addition, researchers particularly employ pitch control of blades manage energy captured throughout above speed. this study, fuzzy rules have been successfully extracted from Neural Network (NN) using a new Genetic Fuzzy System (GFS). Rule Extraction network Algorithm (FRENGA) rejects disturbance Wind Energy Conversion Systems (WECS) input with angel generation. Consequently, our proposed approach has regulated output aerodynamic torque nominal range. Results indicate that genetic rule extraction system outperforms one best earliest methods controlling during fluctuation.