Wind Turbine Power Generation: Response Prediction

Abstract

Abtract: The worldwide interest has been increasing about wind energy for power generation purpose due to continue increase in fuel cost and the need to have clean source of energy. Wind energy may enhance the power generation capabilities and maximize its capacity factor, inurn participate in generating power at lower cost. It has also been notice that renewable power generation through wind energy is also the fast growing energy technology. The optimization of the efficiency of wind turbine is prudent to complete the conventional power sources. Wind Turbine Power Generation (WTPG) is a complex phenomenon to understand since the real process has depends upon the Wind Velocity and the relative turbine dimensions and the outside climatological parameter like Wind Velocity (WV) nature of wind, etc. In this paper an effort has been made to develop a fuzzy logic approach to predict an appropriate WTPG considering the WV, AD and Chord Length of Turbine Blades (CLTB) as input parameters. The complexities of the parameters and the imprecision of linguistic expressions are taken into consideration; the application combining linguistic variable to optimize WTPG under multiple conditions is presented in this study.