Predictive Control of Variable Speed Wind Energy Conversion System with Multi Objective Criterions

Abstract

The paper presents an improved predictive direct rotor current control of a variable speed wind energy conversion system. The conversion chain uses a Doubly Fed Induction Generator DFIG whereas the control method is based on Finite States Space Model Predictive Control FS-MPC of the converter. The proposed control method selects the optimal switching state of the inverter that minimizes the error between orthogonal rotor current components predictions to their computed values. The optimal voltage vector that minimizes a cost function is then applied to the output of the power converter. Once the proposed predictive strategy is validated, multi-level converters well suited for high power application are then used to improve and highlight the obtained results. The proposed predictive control strategy uses only one sample time prediction and it is intuitive since it is very simple for implementation, avoids the cascade structure of several linear controllers and provides best performance.