Performance Enhancement of a Wind-driven Fully Superconducting Generator by Fuzzy logic Control

Abstract

In this paper, fuzzy logic (FL) controllers are designed to enhance the performance of a direct-driven fully superconducting generator (FSG) incorporated in a wind energy conversion system (WECS) over various operational scenarios. The under study system consists of a grid connected FSG through back-to-back voltage source converters integrated with capacitor banks. The studied system is simulated and tested using Simulink environment. The output power from the wind turbine is limited via a pitch angle control. Completely decoupled controllers, designed by PSO algorithm, are applied to both generator side and grid side converters. FL controllers' effectiveness is examined under different operating conditions and various disturbances. Comparative results show significant improvements in the system performance and superior operation of the WECS with FL controllers over its performance with PI controller.