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Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems

Author

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  • Ahmed G. Abokhalil

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majmaah 11952, Saudi Arabia
    Electrical Engineering Department, Assiut University, Assiut 71515, Egypt)

  • Ahmed Bilal Awan

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majmaah 11952, Saudi Arabia)

  • Abdel-Rahman Al-Qawasmi

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al Majmaah 11952, Saudi Arabia)

Abstract

Photovoltaic (PV) power grid-connected systems have the advantages of being prompt and reliable supplies of electrical power. Nevertheless, the installation and operation requirements from the grid side have to be fulfilled in order to guarantee the security of the PV system technicians and the efficiency of the power system. Particularly, the potential for “islanding” is one of the dreads that are brought about by PV grid-connected systems. To be able to tackle these concerns, this paper investigates recent islanding detection techniques and topologies for PV systems. Active islanding detection techniques apply regular disturbances to the inverter system and then analyze the output voltage or frequency to investigate the islanding and stability of the grid. If the injected disturbances influence the load voltage or frequency, the controller forces the intermediate inverter to stop sending power to the connected load. In addition, several islanding detection techniques that inject a periodical signal to the reference current that causes a change in the magnitude of inverter output voltage when islanding happens in a three-phase photovoltaic grid-connected system are discussed. The validity of the proposed technique is tested and verified through PSIM software.

Suggested Citation

  • Ahmed G. Abokhalil & Ahmed Bilal Awan & Abdel-Rahman Al-Qawasmi, 2018. "Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems," Sustainability, MDPI, vol. 10(6), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1798-:d:149670
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    References listed on IDEAS

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    Cited by:

    1. Sowmya Ramachandradurai & Narayanan Krishnan & Gulshan Sharma & Pitshou N. Bokoro, 2023. "Islanding Detection with Reduced Non-Detection Zones and Restoration by Reconfiguration," Energies, MDPI, vol. 16(7), pages 1-19, March.
    2. Abdulaziz Almutairi & Ahmed G. Abo-Khalil & Khairy Sayed & Naif Albagami, 2020. "MPPT for a PV Grid-Connected System to Improve Efficiency under Partial Shading Conditions," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    3. Umme Kulsum Jhuma & Shameem Ahmad & Tofael Ahmed, 2022. "A Novel Approach for Secure Hybrid Islanding Detection Considering the Dynamic Behavior of Power and Load in Electrical Distribution Networks," Sustainability, MDPI, vol. 14(19), pages 1-27, October.
    4. Ênio Costa Resende & Henrique Tannús de Moura Carvalho & Luiz Carlos Gomes Freitas, 2022. "Implementation and Critical Analysis of the Active Phase Jump with Positive Feedback Anti-Islanding Algorithm," Energies, MDPI, vol. 15(13), pages 1-27, June.
    5. Sowmya Ramachandradurai & Narayanan Krishnan & Natarajan Prabaharan, 2022. "Unintentional Passive Islanding Detection and Prevention Method with Reduced Non-Detection Zones," Energies, MDPI, vol. 15(9), pages 1-26, April.
    6. Ahmed G. Abo-Khalil & Walied Alharbi & Abdel-Rahman Al-Qawasmi & Mohammad Alobaid & Ibrahim M. Alarifi, 2021. "Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    7. Rosa Anna Mastromauro, 2020. "Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems," Energies, MDPI, vol. 13(13), pages 1-25, July.

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