Authors: Nagamantri uday kumar, k Durga rao, Dr. T Srinivasa rao
Abstract: This paper discuss about the renewable power generation system. Among different sources wind is one of the momentous renewable sources for generating the electric power throughout the world. The toughest task in wind system is to covert the wind energy to load or grid. Hence, power electronic advancements are required for conversion purpose, which contains grid and generator side converters. In this study, suggested the maximum power point tracking (MPPT) approach is implanted for regulating the generator side converter. Moreover, artificial neural network (ANN) method is used with hill climbing search MPPT algorithm for enhancing the speed and accuracy of the system. Likewise, in this work, sliding mode control (SMC) is presented for mitigating the speed at various circumstances, which is performs efficiently rather than other control approaches. The simulation results reveal the greatest performance with proposed control schemes in terms of speed control and accuracy.