Power Optimization for Adaptive Wind Turbine: Case Study on Islanded and Grid Connected

摘要

Wind energy is not commonly used in Indonesia although it has great potential. The main problem of wind power generation is the uncertain level of power that can be generated because of unsteady wind condition. To minimize that problem, this paper will estimate the wind speed using ANN with Levenberg-Marquardt backpropagation method, based on wind speed data from the previous studies. After obtaining the result of wind speed prediction, the value of pitch angle and turbine rotor speed will be established to make output wind turbine optimal. The method of optimization process is GA which the value of blade pitch angle and turbine rotor speed is spread out randomly. This random calculation will provide blade pitch angle and turbine rotor speed parameter when the power output is optimal. The case study in this research is using wind turbine in islanded and grid connected.