Robust Model Predictive Rotor Current Control of a DFIG Connected to a Distorted and Unbalanced Grid Driven by a Direct Matrix Converter

• Published in: IEEE transactions on sustainable energy Vol. 10; no. 3; pp. 1380 - 1392
• Main Authors: Gontijo, Gustavo Figueiredo, Tricarico, Thiago Cardoso, Franca, Bruno Wanderley, da Silva, Leonardo Francisco, van Emmerik, Emanuel Leonardus, Aredes, Mauricio
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer simulation; Control systems; Doubly fed induction generators; Electric industries; Energy conversion efficiency; Harmonic analysis; harmonic distortion; Induction generators; Matrix converters; Microprocessors; Power efficiency; power quality; Power system harmonics; Predictive control; Predictive models; Reliability; Robust control; Rotors; Stators; Wind farms; Wind power
• ISSN: 1949-3029; 1949-3037
• DOI: 10.1109/TSTE.2018.2868406

The doubly fed induction generator (DFIG) has been widely used in the wind power industry due to its technical advantages. However, current research works aim at overcoming some of its drawbacks concerning reliability, efficiency, and power quality. Since the wind farms are usually located at remote places, connected to weak grids, high reliability is required and some power quality issues deserve attention. This paper proposes a lowcomplexity robust control of a DFIG driven by a direct matrix converter based on a model predictive rotor current control. The matrix converter is interesting due to the absence of the bulky and sensitive dc-link capacitors, leading to higher reliability. The predictive control is used to perform speed regulation. Moreover, this combination of a converter and straightforward control is proven to be a robust technique that naturally compensates for stator current issues, which arise due to a low-power-quality grid voltage. Besides, a linear model of the proposed system is presented in order to use the linear-control-theory tools to execute the system control design. A processor-in-the-loop simulation is employed to validate the proposed control.