AN ADAPTIVE FUZZY LOGIC CONTROL STRATEGY FOR PERFORMANCE ENHANCEMENT OF A GRID-CONNECTED PMSG-BASED WIND TURBINE

Abstract

Wind power installations are rapidly increasing worldwide, leading to a huge level of permeation into electricity supply networks. Enormous efforts are spent to improve the performance of the wind turbine generator systems. This project proposes a novel adaptive fuzzy logic control strategy for performance improvement of a grid-tied wind generator system. The variable-speed wind turbine driven permanent-magnet synchronous generator is tied to the electricity network by a full-capacity power converter. A cascaded adaptive fuzzy logic control strategy is proposed as the control methodology for the generator- and the grid-side converter/inverter. The adaptive technique depends on continuous mixed -norm algorithm, which on-line updates the scaling factors of the fuzzy logic controllers (FLCs) at a high convergence speed. The effectiveness of the proposed adaptive FLC is compared to that achieved using particle swarm optimization algorithm-based an optimal proportional-integral controller, considering severe grid disturbances. Extensive simulation analyses, which are done using MATLAB/Simulink software, are presented to validate the efficiency of the adaptive fuzzy logic control strategy.

Existing System

In the existing system, robust optimal proportional-integral-derivative controller based on new interval polynomial stability criterion and Lyapunov theorem was used.

Proposed System

This system proposes a novel application of the CMPN algorithm-based adaptive FLCs to enhance the performance of the grid-tied VSWT-PMSG system. A CMPN-based adaptive FLC is used to control the generator-side converter and grid-side inverter under cascaded structure. The CMPN algorithm updates on-line the scaling factors of all FLCs with a high convergence speed. Detailed system modelling and its control schemes are elucidated. The efficacy of the CMPN-based adaptive FLC is compared with that achieved using particle swarm optimization (PSO) technique-based an optimal PI controller, considering severe grid disturbances. Extensive simulation analyses, which are done using MATLAB/Simulink software, are presented to validate the efficiency of the CMPN algorithm. In the converter/inverter control blocks, the proposed adaptive FLCs detect the reference signals from the error and change of error signals.

Architecture

Model system

Schematic block diagram of the proposed adaptive FLC