IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i10p2597-d360634.html
   My bibliography  Save this article

Improved Direct Model Predictive Control for Grid-Connected Power Converters

Author

Listed:
  • Mohamed Abdelrahem

    (Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany
    Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71516, Egypt)

  • José Rodríguez

    (Faculty of Engineering, University Andrés Bello, Santiago 8370146, Chile)

  • Ralph Kennel

    (Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany)

Abstract

This paper proposes a computationally efficient and robust direct model predictive control (DMPC) technique with enhanced steady-state performance for power converters tied to the electric utility. The discrete space vector modulation (DSVM) method is considered in the design of the suggested DMPC, where virtual voltage vectors (VVs) besides the real ones are utilized for improving the steady-state response of the proposed controller. Furthermore, for averting the high computational burden and making the proposed control technique simple, a deadbeat (DB) function is employed for calculating the reference VV based on the required reference current. Subsequently, a discrete-time integral term is combined with this DB function to enhance the robustness of the suggested DMPC technique against variations of the model parameters. Finally, the best virtual or real VV is chosen by a certain quality function, which will be applied to the power converter in the next sample. The suggested technique is verified by simulation results and its performance is compared with the classical DMPC and voltage-oriented control (VOC).

Suggested Citation

  • Mohamed Abdelrahem & José Rodríguez & Ralph Kennel, 2020. "Improved Direct Model Predictive Control for Grid-Connected Power Converters," Energies, MDPI, vol. 13(10), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2597-:d:360634
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/10/2597/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/10/2597/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Abdelrahem & Ralph Kennel, 2016. "Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
    2. Malinowski, M. & Kazmierkowski, M.P. & Trzynadlowski, A., 2003. "Review and comparative study of control techniques for three-phase PWM rectifiers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(3), pages 349-361.
    3. Ahmed Farhan & Mohamed Abdelrahem & Amr Saleh & Adel Shaltout & Ralph Kennel, 2020. "Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation," Energies, MDPI, vol. 13(2), pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Nauman & Wajiha Shireen & Amir Hussain, 2022. "Model-Free Predictive Control and Its Applications," Energies, MDPI, vol. 15(14), pages 1-24, July.
    2. Jaime A. Rohten & David N. Dewar & Pericle Zanchetta & Andrea Formentini & Javier A. Muñoz & Carlos R. Baier & José J. Silva, 2021. "Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency," Energies, MDPI, vol. 14(2), pages 1-16, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanzhe Zhao & Linjie Ren & Zhiming Liao & Guobin Lin, 2021. "A Novel Model Predictive Direct Torque Control Method for Improving Steady-State Performance of the Synchronous Reluctance Motor," Energies, MDPI, vol. 14(8), pages 1-18, April.
    2. Konrad Urbanski & Dariusz Janiszewski, 2021. "Position Estimation at Zero Speed for PMSMs Using Artificial Neural Networks," Energies, MDPI, vol. 14(23), pages 1-17, December.
    3. Quan Zhou & Taotao Xiong & Mubin Wang & Chenmeng Xiang & Qingpeng Xu, 2017. "Diagnosis and Early Warning of Wind Turbine Faults Based on Cluster Analysis Theory and Modified ANFIS," Energies, MDPI, vol. 10(7), pages 1-15, July.
    4. Krzysztof Dmitruk, 2024. "A Simplified Guide to Control Algorithms for Grid Converters in Renewable Energy Systems," Energies, MDPI, vol. 17(18), pages 1-18, September.
    5. Xiangwu Yan & Linlin Yang & Tiecheng Li, 2021. "The LVRT Control Scheme for PMSG-Based Wind Turbine Generator Based on the Coordinated Control of Rotor Overspeed and Supercapacitor Energy Storage," Energies, MDPI, vol. 14(2), pages 1-22, January.
    6. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    7. Naouar, M.W. & Ben Hania, B. & Slama-Belkhodja, I. & Monmasson, E. & Naassani, A.A., 2013. "FPGA-based sliding mode direct control of single phase PWM boost rectifier," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 249-261.
    8. T. Mesbahi & A. Ouari & T. Ghennam & E. M. Berkouk & N. Mesbahi, 2016. "A hybrid wind energy conversion system/active filter for non linear conditions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(1), pages 1-8, December.
    9. Muhammad Zubair Asif Bhatti & Abubakar Siddique & Waseem Aslam & Shahid Atiq & Hussain Sarwar Khan, 2023. "Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids," Energies, MDPI, vol. 16(3), pages 1-22, February.
    10. Maha Zoghlami & Ameni Kadri & Faouzi Bacha, 2018. "Analysis and Application of the Sliding Mode Control Approach in the Variable-Wind Speed Conversion System for the Utility of Grid Connection," Energies, MDPI, vol. 11(4), pages 1-17, March.
    11. Fernando Lino & Jefferson Assis & Darlan A. Fernandes & Rogerio Jacomini & Fabiano F. Costa & Alfeu J. Sguarezi Filho, 2021. "One-Cycle Fourier Finite Position Set PLL," Energies, MDPI, vol. 14(7), pages 1-17, March.
    12. Mostafa Ahmed & Mohamed Abdelrahem & Ralph Kennel, 2020. "Highly Efficient and Robust Grid Connected Photovoltaic System Based Model Predictive Control with Kalman Filtering Capability," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    13. Ibrahim Harbi & Mohamed Abdelrahem & Mostafa Ahmed & Ralph Kennel, 2020. "Reduced-Complexity Model Predictive Control with Online Parameter Assessment for a Grid-Connected Single-Phase Multilevel Inverter," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    14. Zhang, Yongkuang & Zhou, Yu & Chen, Weixing & Zhang, Weidong & Gao, Feng, 2022. "Design, modeling and numerical analysis of a WEC-Glider (WEG)," Renewable Energy, Elsevier, vol. 188(C), pages 911-921.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2597-:d:360634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.