Application of intelligent control techniques for the control and the observation of an integrated PMSG in a wind system.

Abstract

This research project deals with the development of advanced control strategies for a permanent magnet synchronous generator (PMSG) based Variable Speed Wind Turbine (VSWT). Two modes of operation have been considered: the isolated mode, and the grid-connected mode with battery energy storage. Conventional and fuzzy Maximum Power Point Tracking (MPPT) control strategies have been studied for the switch mode rectifier based standalone VSWT. A power management control strategy for a grid-connected system along with battery energy storage is developed. The main features are to catch the maximum power from the wind by generating an efficient duty cycle, ensure a constant DC-link voltage, maintain the amplitude and frequency of the grid, and balance the power flow within the system irrespective of fluctuating wind conditions and load demand. The developed control strategies have been validated via extensive computer simulations employing the Matlab Simpower Systems tool. The proposed Fuzzy Maximum Aerodynamic Power Tracking (FMAPT) control strategy has a higher overall control efficiency. The Fuzzy-PI (F-PI) controller gives more elevated output energy and presents a good transient performance and insensitivity to wind fluctuations and load variation than when considering the PI and Adaptive Fuzzy Logic Controller-PI (AFLC-PI).