PROJECT TITLE :

Advanced fuzzy power extraction control of wind energy conversion system for power quality improvement in a grid tied hybrid generation system

ABSTRACT:

This paper introduces an intelligent extraction of optimum power and its dispatch by using Fuzzy Logic from a grid tied hybrid generation system comprising of a permanent magnet synchronous generator primarily based wind turbine and an occasional concentration photovoltaic generator. For photovoltaic generator, maximum power purpose tracking control is implemented using fuzzy logic below varying solar irradiance. Power extracted from wind turbine is designed as a fuzzy perform of the dc link voltage error, its rate of modification and error in the direct axis current of the inverter. This reduces high frequency oscillations in the wind extracted power. Such an extraction is taken into account as a novelty of this paper. A failure mode and impact analysis is done for power converters and doable mitigation schemes are steered for various faults. A one:1 delta wye-grounded transformer is used at the inverter output to eliminate the triplet harmonics. Any, dynamic performances of each fuzzy proportional-derivative and integral (PD+I) controller and classical proportional integral (PI) controller, to manage the inverter currents, are compared. The proposed method leads to an enhanced power dispatch and improvement in distortions and oscillations within the converter currents. This also reduces the likelihood of failures in the converter switches and other passive components.