Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors

Felipe S. Guedes; Nady Rocha; Alvaro M. Maciel; Alfeu J. Sguarezi Filho

doi:10.18618/REP.2023.1.0025

Authors

Felipe S. Guedes Post-Graduate Program in Electrical Engineering (PPGEE), Federal University of Paraíba (UFPB), João Pessoa – PB, Brazil
Nady Rocha Electrical Engineering Department (DEE), Federal University of Paraíba (UFPB), João Pessoa – PB, Brazil
Alvaro M. Maciel Academic Unit III, Electrical Engineering, Federal Institute of Paraíba (IFPB), João Pessoa – PB, Brazil
Alfeu J. Sguarezi Filho Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andre – SP, Brazil

DOI:

https://doi.org/10.18618/REP.2023.1.0025

Keywords:

Direct power control (DPC), Doubly-fed induction generator (DFIG), Finite control set model-based predictive control (FCS-MPC), Rotor side converter (RSC)

Abstract

This paper proposes a Simplified Finite-Set Model Predictive Power Controller (MPPC) to improve the performance of the Doubly-Fed Induction Generator (DFIG). The MPPC is implemented to regulate the stator active and reactive powers of DFIG, minimizing the error between them and their references, with an optimized null vector selection and a reduced number of active vectors, to decrease the computational burden. This reduction is applied in a two-level converter, reducing the test to 4 or 2 active vectors. Simulations and laboratory experiments were performed, showing results for a 0.56 kW DFIG. Finally, it was verified that the proposed system can maintain the stator powers at a reference.

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Author Biographies

Felipe S. Guedes, Post-Graduate Program in Electrical Engineering (PPGEE), Federal University of Paraíba (UFPB), João Pessoa – PB, Brazil

was born in Patos, Paraíba, Brazil, in 1996. He received the B.S. degree in electrical engineering from the Federal Institute of Paraíba, Brazil, in 2019. Since 2020, he is working in M.S. degreeing electrical engineering in Federal University of Paraíba, João Pessoa, Brazil. His research interests include power electronics, electrical drives and renewable energy source.

Nady Rocha, Electrical Engineering Department (DEE), Federal University of Paraíba (UFPB), João Pessoa – PB, Brazil

was born in São Gabriel, Bahia, Brazil, in 1982. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Federal University of Campina Grande, Campina Grande, Brazil, in 2006, 2008, and 2010, respectively. Since 2011, he has been with the Department of Electrical Engineering, Federal University of Paraíba, João Pessoa, where he is currently an Associate Professor of Electrical Engineering. His research interests include power electronics, renewable energy sources and electrical drives.

Alvaro M. Maciel , Academic Unit III, Electrical Engineering, Federal Institute of Paraíba (IFPB), João Pessoa – PB, Brazil

was born in Patos, Paraíba, Brazil, in 1982. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Federal University of Campina Grande, Campina Grande, Brazil, in 2008, 2009, and 2015, respectively. Since 2015, he has been with the Course of Electrical Engineering (linked at Academic Unity 3), Federal Institute of Paraíba, João Pessoa, Brazil, where he is currently a Professor of electrical engineering. His research interests include power electronics, renewable energy sources, and electrical drives.

Alfeu J. Sguarezi Filho, Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andre – SP, Brazil

received the master’s and Ph.D. degrees from the University of Campinas, Campinas, Brazil, in 2007 and 2010, respectively. He is currently a Professor with the Federal University of ABC, Santo André, Brazil, teaching in the areas of electrical machines, power electronics, and electrical drives. His current research interests include machine drives, wind and photovoltaic energies, doubly fed induction generators, power control, and electrical power systems.

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