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Enhanced Power Quality in Single-Phase Grid-Connected Photovoltaic Systems: An Experimental Study

Author

Listed:
  • Abdellah Benabdelkader

    (Smart Grids & Renewable Energies Laboratory, Faculty of Technology, University of Tahri Mohammed Bechar, Bechar 08000, Algeria)

  • Azeddine Draou

    (Department of Electrical Engineering, College of Engineering, Islamic University of Madinah, Madinah 42351, Saudi Arabia)

  • Abdulrahman AlKassem

    (Department of Electrical Engineering, College of Engineering, Islamic University of Madinah, Madinah 42351, Saudi Arabia)

  • Toufik Toumi

    (Smart Grids & Renewable Energies Laboratory, Faculty of Technology, University of Tahri Mohammed Bechar, Bechar 08000, Algeria)

  • Mouloud Denai

    (School of Physics, Engineering & Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

  • Othmane Abdelkhalek

    (Smart Grids & Renewable Energies Laboratory, Faculty of Technology, University of Tahri Mohammed Bechar, Bechar 08000, Algeria)

  • Marwa Ben Slimene

    (Department of Computer Science and Engineering, College of Computer Science and Engineering, University of Ha’il, Ha’il 55436, Saudi Arabia
    SIME Laboratory, ENSIT, University of Tunis, 05 Ave Taha Hussein, Tunis 1008, Tunisia)

Abstract

The main aim of the research work presented in this paper consists of proposing an effective control scheme for a grid-connected single-phase photovoltaic (PV) system to enhance not only the power quality at the point of common coupling (PCC) but also to operate with a maximum power point tracking (MPPT) controller. Moreover, an orthogonal signal generator (OSG) module for effective grid synchronization, a current reference generation controller, and a PWM generating block have also been designed and included in this paper. The proposed control strategy allows the MPPT controller to switch to faulty mode and maintains the voltage according to network requirements using an adaptive neuro-fuzzy inference system (ANFIS)-based control whenever a fault occurs at the PCC. The performance of the analyzed control strategy, which is based on the static compensation of the DC-link voltage fluctuations in a grid-connected inverter powered by PV, is further explored through simulations in MATLAB, and the results are included in this paper. Moreover, the control scheme is implemented experimentally using a dSPACE DS 1104 control board and then assessed on a small laboratory-scale single-phase PV system that is subjected to some fault scenarios. The simulation and experimental results have shown improved power quality and robustness against grid fluctuations, resulting in better dynamic performance.

Suggested Citation

  • Abdellah Benabdelkader & Azeddine Draou & Abdulrahman AlKassem & Toufik Toumi & Mouloud Denai & Othmane Abdelkhalek & Marwa Ben Slimene, 2023. "Enhanced Power Quality in Single-Phase Grid-Connected Photovoltaic Systems: An Experimental Study," Energies, MDPI, vol. 16(10), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4240-:d:1152712
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    References listed on IDEAS

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    1. Amini Toosi, Hashem & Del Pero, Claudio & Leonforte, Fabrizio & Lavagna, Monica & Aste, Niccolò, 2023. "Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization," Applied Energy, Elsevier, vol. 334(C).
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    Cited by:

    1. Gerardo de J. Martínez-Figueroa & Santiago Bogarra & Felipe Córcoles, 2023. "Smart Switching in Single-Phase Grid-Connected Photovoltaic Power Systems for Inrush Current Elimination," Energies, MDPI, vol. 16(20), pages 1-19, October.

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