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Passive Fault-Tolerant Control Strategies for Power Converter in a Hybrid Microgrid

Author

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  • Saeedreza Jadidi

    (Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada)

  • Hamed Badihi

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing 211106, China)

  • Youmin Zhang

    (Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada)

Abstract

Control of AC/DC pulse-width modulation (PWM) power electronic converter, referred to as “AC/DC PWM converter”, is vital to the efficient regulation of power flow between AC and DC parts of a hybrid microgrid. Given the importance of such converters in AC/DC microgrids, this paper investigates the design of fault-tolerant control for AC/DC PWM converters in the presence of microgrid faults. In particular, two novel fault-tolerant schemes based on fuzzy logic and model predictive control are proposed and implemented in an advanced hybrid microgrid benchmark in MATLAB/Simulink environment. The considered hybrid microgrid consists of dynamic loads and distributed energy resources including solar photovoltaic arrays, wind turbines, and battery energy storage systems. The proposed schemes especially target the fault effects due to common power-loss malfunctions in solar photovoltaic arrays in the presence of microgrid uncertainties and disturbances. The effectiveness of proposed fault-tolerant control schemes is demonstrated and compared under realistic fault scenarios in the hybrid microgrid benchmark.

Suggested Citation

  • Saeedreza Jadidi & Hamed Badihi & Youmin Zhang, 2020. "Passive Fault-Tolerant Control Strategies for Power Converter in a Hybrid Microgrid," Energies, MDPI, vol. 13(21), pages 1-28, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5625-:d:435676
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    References listed on IDEAS

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    1. Guilbert, Damien & Gaillard, Arnaud & N'Diaye, Abdoul & Djerdir, Abdesslem, 2016. "Power switch failures tolerance and remedial strategies of a 4-leg floating interleaved DC/DC boost converter for photovoltaic/fuel cell applications," Renewable Energy, Elsevier, vol. 90(C), pages 14-27.
    2. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.
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    4. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    5. Prodan, Ionela & Zio, Enrico & Stoican, Florin, 2015. "Fault tolerant predictive control design for reliable microgrid energy management under uncertainties," Energy, Elsevier, vol. 91(C), pages 20-34.
    6. Tingting Pei & Xiaohong Hao, 2019. "A Fault Detection Method for Photovoltaic Systems Based on Voltage and Current Observation and Evaluation," Energies, MDPI, vol. 12(9), pages 1-16, May.
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    Cited by:

    1. Mehdi Hosseinzadeh, 2022. "Fault-Tolerant Control for Microgrids—Recent Developments and Future Directions," Energies, MDPI, vol. 15(22), pages 1-5, November.
    2. Saeedreza Jadidi & Hamed Badihi & Youmin Zhang, 2021. "Fault-Tolerant Cooperative Control of Large-Scale Wind Farms and Wind Farm Clusters," Energies, MDPI, vol. 14(21), pages 1-29, November.
    3. Luis D. Murillo-Soto & Carlos Meza, 2021. "Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach," Energies, MDPI, vol. 14(9), pages 1-19, April.
    4. Mandisi Gwabavu & Atanda Raji, 2021. "Dynamic Control of Integrated Wind Farm Battery Energy Storage Systems for Grid Connection," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    5. Rolf Egert & Tim Grube & Florian Volk & Max Mühlhäuser, 2021. "Holonic System Model for Resilient Energy Grid Operation," Energies, MDPI, vol. 14(14), pages 1-22, July.
    6. Mpho Sam Nkambule & Ali N. Hasan & Ahmed Ali & Thokozani Shongwe, 2022. "A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement," Energies, MDPI, vol. 15(15), pages 1-31, August.

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