Model Predictive Direct Power Control of Rotor Side Converter for DFIGs Driven by Variable Speed Wind Turbines

Abstract

In this paper, a proposed model predictive controller (MPC) is designed to improve the performance of the doubly fed induction generators (DFIGs) driven by variable speed wind turbines. The application of the MPC aims to improve the response control with respect to the conventional approaches. MPC is implemented to regulate the active and reactive powers of DFIG to minimize the error between them and their references. Furthermore, it is used to compensate inaccuracies and measurement noise. The optimization problem is recast as a Quadratic Program (QP) which is highly robust and efficient. The direct power control technique has been used to control the grid side converter (GSC) in order to control the DC-link voltage and total reactive power. Simulation tests using Matlab/Simulink have been carried out to validate the feasibility of the proposed scheme on a wind power generation system. The performance of the proposed scheme is varied under different operating conditions.