An Experimental Validation on Adaptive Controllers in Tracking and Smoothening of Wind Power for a Variable-Speed System

Abstract

The ever-increasing demand for conventional energy sources has driven society toward more research and development in alternate energy resources and the importance of a sustainable environment. Among renewable resources, wind energy plays a prominent role as a source of electrical energy and has emerged as one of the leading green energy technologies with an annual average growth rate of 30 % across the globe. Though the impact has a clear vision when compared to previous decades, its aftereffect concerning the quantity and quality of power output receives a significant amount of interest on the wind energy scenario. This article presents an advanced control strategy to extract possible peak power and to explore fluctuation as less controlled output for a permanent magnet synchronous generator–based variable-speed wind turbine system through adaptive peak power tracking controllers. A substantial voltage of ripple magnitude is derived to suppress the double line frequency ripples that exist between the dc-dc and dc-ac converters. The significant harmonic disorders are analyzed using Fast Fourier Transformation, and the elimination of the same is ensured by introducing appropriate harmonic trap filters. The output power is exercised accordingly with the help of a standalone energy storage unit and thereby power management is performed for the proposal. The control strategy ensures the appropriate selection of power source selection controllers, and the analysis reveals the prominent working of a standalone energy storage system in the typical area of requirements. The experimental validation is made with the prototype model from the laboratory experimentation, which is identical to the simulation platform.