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Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes

Author

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  • Gustavo Gontijo

    (Electrical Engineering Department, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering/Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro—RJ 21941-901, Brazil)

  • Matheus Soares

    (Electrical Engineering Department, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering/Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro—RJ 21941-901, Brazil)

  • Thiago Tricarico

    (Electrical Engineering Department, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering/Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro—RJ 21941-901, Brazil)

  • Robson Dias

    (Electrical Engineering Department, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering/Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro—RJ 21941-901, Brazil)

  • Mauricio Aredes

    (Electrical Engineering Department, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering/Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro—RJ 21941-901, Brazil)

  • Josep Guerrero

    (Department of Energy Technology, Aalborg University, 9100 Aalborg, Denmark)

Abstract

This paper presents an analysis of a new application of different direct matrix converter topologies used as power interfaces in AC, DC, and hybrid microgrids, with model predictive current control. Such a combination of a converter and control strategy leads to a high power quality microgrid voltage, even with a low power quality main grid voltage and even during the connection and disconnection of a variety of loads and generation sources to the microgrids. These robust systems are suitable for applications in which sensitive loads are to be supplied and these loads are connected close to distributed-generation sources with inherent intermittent behavior. The authors also propose the use of new direct matrix converter configurations with a reduced number of switches in order to achieve reduced cost, reduced failure rate, and higher reliability, which are very desirable in microgrids. Finally, the authors also introduce new hybrid direct matrix converter topologies that provide interesting options for the islanded operation of the microgrids with the use of a battery system. In other words, the proposed hybrid direct matrix converters result in flexible hybrid microgrid configurations integrating DC and AC devices with high power quality and high power supply reliability.

Suggested Citation

  • Gustavo Gontijo & Matheus Soares & Thiago Tricarico & Robson Dias & Mauricio Aredes & Josep Guerrero, 2019. "Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes," Energies, MDPI, vol. 12(17), pages 1-28, August.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3302-:d:261373
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    Citations

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    Cited by:

    1. Tomasz Sieńko & Jerzy Szczepanik & Claudia Martis, 2020. "Reactive Power Transfer via Matrix Converter Controlled by the “One Periodical” Algorithm," Energies, MDPI, vol. 13(3), pages 1-14, February.
    2. Zahra Malekjamshidi & Mohammad Jafari & Jianguo Zhu & Marco Rivera, 2020. "Design, Implementation, and Stability Analysis of a Space Vector Modulated Direct Matrix Converter for Power Flow Control in a More Reliable and Sustainable Microgrid," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    3. Gustavo Gontijo & Songda Wang & Tamas Kerekes & Remus Teodorescu, 2020. "New AC–AC Modular Multilevel Converter Solution for Medium-Voltage Machine-Drive Applications: Modular Multilevel Series Converter," Energies, MDPI, vol. 13(14), pages 1-48, July.
    4. Bowei Zou & Yougui Guo & Xi Xiao & Bowen Yang & Xiao Wang & Mingzhang Shi & Yulin Tu, 2020. "Performance Improvement of Matrix Converter Direct Torque Control System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    5. Sergio Toledo & Edgar Maqueda & Marco Rivera & Raúl Gregor & Pat Wheeler & Carlos Romero, 2020. "Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems," Energies, MDPI, vol. 13(10), pages 1-13, May.
    6. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    7. Jerzy Szczepanik & Tomasz Sieńko, 2021. "Intuitive Multiphase Matrix Converter Control Procedures Applied to Power-System Phase Shifters," Energies, MDPI, vol. 14(15), pages 1-18, July.
    8. Xue Lin & Lixia Sun & Ping Ju & Hongyu Li, 2019. "Stochastic Control for Intra-Region Probability Maximization of Multi-Machine Power Systems Based on the Quasi-Generalized Hamiltonian Theory," Energies, MDPI, vol. 13(1), pages 1-16, December.

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