Nonlinear Control Based On Fuzzy Logic For A Wind Energy Conversion System Connected To The Grid

This paper presents, analysis, and simulation of a variable-speed wind turbine control. Wind turbine emulator (WTE) based on induction motor (IM) is used to provide a controlled environment for testing the wind energy conversion system (WECS) control. The permanent magnet synchronous generator (PMSG) is driven by the WTE, and it is tied to the grid via back-to-back converters. The aim of the study is threefold: the development of the WTE, extracting the maximum power, and feeding captured power to the grid. However, the methods of maximum power point tracking (MPPT) using Fuzzy logic is used to maximize the wind power captured at different wind speeds. The grid-tied inverter controlled by the fuzzy adaptative PI controller is used for transferring energy to the grid and maintaining DC-Link voltage constant. Simulation results performed on the Matlab/Simulink environment verify the performance of the proposed control strategies applied on WECS tied to the grid. The used approach overcomes the non-linearity constraint of the DC-Link voltage by using a fuzzy adaptative PI controller instead of the classical PI controller. It also provides an optimal energy gain from the MPPT block based on fuzzy logic.