Investigation on Direct Power Intelligent Control for Power Ripple Reduction of DFIG Based Wind Energy Conversion System

Abstract

Wind energy is becoming a more viable alternative to commercial electricity production newlineowing to its availability, environmental friendliness, and high power generation newlinecapacity. Due to the increased importance of wind turbine-based generators, the doubly newlinefed induction generator (DFIG) is gaining increased prominence due to its maximum newlinepower extraction capability, variable speed generator operation, and strong reactive newlinepower control and resistive capability during low and high voltage fault ride through. newlineThis thesis describes a grid-connected variable speed wind energy conversion system newlinethat utilizes a doubly-fed induction generator in combination with back-to-back power newlineelectronics converters. The power converters and their controllers regulate the newlineperformance of the generator both during normal and faults. It offers a lower cost newlinesolution than the full system power rated converter because the power electronic newlineconverter is rated only about one-third of the nominal power.The conventional techniques of maximum power point tracking have model newlinedependency, slow convergence rate and lower system efficiency. In this work, an newlineattempt has been made to overcome the drawbacks of existing techniques and proposes newlinethe Adaptive-Neuro Fuzzy Inference System based maximum power point tracking newlinecontroller. Contd.....