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Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter

Author

Listed:
  • Eyad Radwan

    (Department of Electrical Engineering, Faculty of Engineering, Applied Science Private University, Amman 11931, Jordan)

  • Mutasim Nour

    (School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK)

  • Emad Awada

    (Department of Electrical Engineering, Faculty of Engineering, Applied Science Private University, Amman 11931, Jordan)

  • Ali Baniyounes

    (Department of Electrical Engineering, Faculty of Engineering, Applied Science Private University, Amman 11931, Jordan)

Abstract

This paper presents a control scheme for a photovoltaic (PV) system that uses a single-phase grid-connected inverter with low-voltage ride-through (LVRT) capability. In this scheme, two PI regulators are used to adjust the power angle and voltage modulation index of the inverter; therefore, controlling the inverter’s active and reactive output power, respectively. A fuzzy logic controller (FLC) is also implemented to manage the inverter’s operation during the LVRT operation. The FLC adjusts (or de-rates) the inverter’s reference active and reactive power commands based on the grid voltage sag and the power available from the PV system. Therefore, the inverter operation has been divided into two modes: (i) Maximum power point tracking (MPPT) during the normal operating conditions of the grid, and (ii) LVRT support when the grid is operating under faulty conditions. In the LVRT mode, the de-rating of the inverter active output power allows for injection of some reactive power, hence providing voltage support to the grid and enhancing the utilization factor of the inverter’s capacity. The proposed system was modelled and simulated using MATLAB Simulink. The simulation results showed good system performance in response to changes in reference power command, and in adjusting the amount of active and reactive power injected into the grid.

Suggested Citation

  • Eyad Radwan & Mutasim Nour & Emad Awada & Ali Baniyounes, 2019. "Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter," Energies, MDPI, vol. 12(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4796-:d:298633
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    Citations

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    Cited by:

    1. Miaomiao Ma & Xiangjie Liu & Kwang Y. Lee, 2020. "Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control," Energies, MDPI, vol. 13(6), pages 1-16, March.
    2. Roy Chaoming Hsu & Tzu-Hao Lin & Po-Cheng Su, 2022. "Dynamic Energy Management for Perpetual Operation of Energy Harvesting Wireless Sensor Node Using Fuzzy Q-Learning," Energies, MDPI, vol. 15(9), pages 1-22, April.
    3. Hossein Khoun Jahan & Reyhaneh Eskandari & Tohid Rahimi & Rasoul Shalchi Alishah & Lei Ding & Kent Bertilsson & Mehran Sabahi & Frede Blaabjerg, 2021. "A Limited Common-Mode Current Switched-Capacitor Multilevel Inverter Topology and Its Performance and Lifetime Evaluation in Grid-Connected Photovoltaic Applications," Energies, MDPI, vol. 14(7), pages 1-18, March.

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