Optimal Intelligent Control for Wind Turbulence Rejection in WECS Using ANNs and Genetic Fuzzy Approach

摘要: One of the disadvantages in Connection wind energy conversion systems (WECSs) to transmission networks is plentiful turbulence speed. Therefore effects this problem must be controlled. Nowadays, pitch-controlled WECSs are increasingly used for variable speed and pitch turbines. Megawatt class turbines generally turn at farm. Thus turbine operation controlled order maximize efficiency below rated power reduce loading on drive-train. Due random non-linear nature ability Multi-Layer Perceptron (MLP) Radial Basis Function (RBF) Artificial Neural Networks (ANNs) modeling control turbulence, study, widespread changes have been perused using MLP RBF artificial NNs. In addition a new genetic fuzzy system has successfully applied identify disturbance input. output regulated optimal nominal range by angle regulation. Consequently, our proposed approaches aerodynamic torque rang.