Modeling and Optimum Power Control Based DFIG Wind Energy Conversion System

Abstract

This paper proposes the modeling and control of Wind Energy Conversion System (WECS) based on the Double Fed Induction Generator (DFIG). In order to improve the effectiveness of the WECS, two independent control objectives can be stated. Therefore, a control is designed to capture a maximum energy at certain wind speed range and to regulate the stator reactive power, contributing to the compensation of the power factor according to grid requirements. A cascade control structure based on Fuzzy Logic Controller (FLC) has been applied to perform these two main objectives. The control algorithm tracks the maximum power for wind speeds at rated speed of wind turbines and ensures that the power will not go over the rated power for wind speeds over the rated value. Then, the Rotor Side Converter (RSC) is controlled to follow the optimal torque for a given maximum wind power, based on stator flux-oriented vector control. The control algorithm employs fuzzy logic controller to effectively achieve a smooth control of both stator active and reactive powers quantities under fault conditions. Some simulation results are presented to show the effectiveness of the WECS based on DFIG with the proposed control strategy.