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Grid-Connected Converters: A Brief Survey of Topologies, Output Filters, Current Control, and Weak Grids Operation

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  • Guilherme V. Hollweg

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Shahid A. Khan

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Shivam Chaturvedi

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Yaoyu Fan

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Mengqi Wang

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Wencong Su

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

Abstract

Grid-connected converters (GCCs) are used extensively for the integration of DC power sources with AC power sources. However, since it is a complex topic, there are many possibilities for regulating grid-injected currents, as well as different modulation techniques for generating full-bridge PWM voltages. The control techniques are directly related to the type of output filter, as well as to the topology of the converter, since a complex plant can require more sophisticated controllers to keep the system stable, and with good regulation performance. Furthermore, a discussion of the applicability of these converters in weak and very weak grids with high inductance content has recently been growing, which adds a greater degree of complexity to the control structure of the converter. In this brief overview are outlined some topics about topologies, output filters, and control, focusing on the current regulation of grid-connected converters. In addition, a discussion of the main challenges and critical areas in operating on weak and very weak grids is also presented.

Suggested Citation

  • Guilherme V. Hollweg & Shahid A. Khan & Shivam Chaturvedi & Yaoyu Fan & Mengqi Wang & Wencong Su, 2023. "Grid-Connected Converters: A Brief Survey of Topologies, Output Filters, Current Control, and Weak Grids Operation," Energies, MDPI, vol. 16(9), pages 1-31, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3611-:d:1129933
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    References listed on IDEAS

    as
    1. Zhe Wu & Panagiotis D. Christofides, 2019. "Economic Machine-Learning-Based Predictive Control of Nonlinear Systems," Mathematics, MDPI, vol. 7(6), pages 1-20, June.
    2. Yang, Zhimin & Chai, Yi, 2016. "A survey of fault diagnosis for onshore grid-connected converter in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 345-359.
    3. Shuren Wang & Fahad Saeed Alsokhiry & Grain Philip Adam, 2020. "Impact of Submodule Faults on the Performance of Modular Multilevel Converters," Energies, MDPI, vol. 13(16), pages 1-18, August.
    4. Yang, Shiyu & Wan, Man Pun & Chen, Wanyu & Ng, Bing Feng & Dubey, Swapnil, 2020. "Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization," Applied Energy, Elsevier, vol. 271(C).
    5. Noor Hussain & Mashood Nasir & Juan Carlos Vasquez & Josep M. Guerrero, 2020. "Recent Developments and Challenges on AC Microgrids Fault Detection and Protection Systems–A Review," Energies, MDPI, vol. 13(9), pages 1-31, May.
    6. Shivam Chaturvedi & Mengqi Wang & Yaoyu Fan & Deepak Fulwani & Guilherme Vieira Hollweg & Shahid Aziz Khan & Wencong Su, 2023. "Control Methodologies to Mitigate and Regulate Second-Order Ripples in DC–AC Conversions and Microgrids: A Brief Review," Energies, MDPI, vol. 16(2), pages 1-34, January.
    7. Angelo Lunardi & Eliomar R. Conde D. & Renato M. Monaro & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2022. "Robust Predictive Control with Three-Vector Modulation Connected to the Power Grid," Energies, MDPI, vol. 15(6), pages 1-15, March.
    8. Yumeng Tian & Harith R. Wickramasinghe & Zixin Li & Josep Pou & Georgios Konstantinou, 2022. "Review, Classification and Loss Comparison of Modular Multilevel Converter Submodules for HVDC Applications," Energies, MDPI, vol. 15(6), pages 1-32, March.
    9. Muhammad Yasir Ali Khan & Haoming Liu & Zhihao Yang & Xiaoling Yuan, 2020. "A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies," Energies, MDPI, vol. 13(16), pages 1-40, August.
    10. Lucian Mihet-Popa & Sergio Saponara, 2018. "Toward Green Vehicles Digitalization for the Next Generation of Connected and Electrified Transport Systems," Energies, MDPI, vol. 11(11), pages 1-24, November.
    11. Hae-Gwang Jeong & Gwang-Seob Kim & Kyo-Beum Lee, 2013. "Second-Order Harmonic Reduction Technique for Photovoltaic Power Conditioning Systems Using a Proportional-Resonant Controller," Energies, MDPI, vol. 6(1), pages 1-18, January.
    12. Ning Gao & Xin Lin & Weimin Wu & Frede Blaabjerg, 2021. "Grid Current Feedback Active Damping Control Based on Disturbance Observer for Battery Energy Storage Power Conversion System with LCL Filter," Energies, MDPI, vol. 14(5), pages 1-16, March.
    13. Dominic A. Savio & Vimala A. Juliet & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Jens Bo Holm-Nielsen & Frede Blaabjerg, 2019. "Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach," Energies, MDPI, vol. 12(1), pages 1-28, January.
    14. Bouzid, Allal El Moubarek & Chaoui, Hicham & Zerrougui, Mohamed & Ben Elghali, Seifeddine & Benbouzid, Mohamed, 2021. "Robust control based on linear matrix inequalities criterion of single phase distributed electrical energy systems operating in islanded and grid-connected modes," Applied Energy, Elsevier, vol. 292(C).
    15. Pedro C. Bolsi & Edemar O. Prado & Hamiltom C. Sartori & João Manuel Lenz & José Renes Pinheiro, 2022. "LCL Filter Parameter and Hardware Design Methodology for Minimum Volume Considering Capacitor Lifetimes," Energies, MDPI, vol. 15(12), pages 1-20, June.
    16. Harith R. Wickramasinghe & Pingyang Sun & Georgios Konstantinou, 2021. "Interoperability of Modular Multilevel and Alternate Arm Converters in Hybrid HVDC Systems," Energies, MDPI, vol. 14(5), pages 1-18, March.
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