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A review of the islanding detection methods in grid-connected PV inverters

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  • Ku Ahmad, Ku Nurul Edhura
  • Selvaraj, Jeyraj
  • Rahim, Nasrudin Abd

Abstract

Islanding is undesired because it may impair the safety of maintenance service workers and/or damage load equipment through unsynchronized re-closure. In principle, islanding detection is the monitoring of islanding—indicating changes in inverter output parameters or other system parameters. This paper aims to aid design efforts through its comprehensive review of islanding detection methods (comparing their non-detection zones and detection speeds) and anti-islanding standards. As a result, this paper shall provide a handful information and clearer vision for researchers to determine the best method for their product.

Suggested Citation

  • Ku Ahmad, Ku Nurul Edhura & Selvaraj, Jeyraj & Rahim, Nasrudin Abd, 2013. "A review of the islanding detection methods in grid-connected PV inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 756-766.
    • Handle: RePEc:eee:rensus:v:21:y:2013:i:c:p:756-766
    DOI: 10.1016/j.rser.2013.01.018
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    5. Indu Rani, B. & Srikanth, M. & Saravana Ilango, G. & Nagamani, C., 2013. "An active islanding detection technique for current controlled inverter," Renewable Energy, Elsevier, vol. 51(C), pages 189-196.
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    Cited by:

    1. Rampinelli, Giuliano A. & Gasparin, Fabiano P. & Bühler, Alexandre J. & Krenzinger, Arno & Chenlo Romero, Faustino, 2015. "Assessment and mathematical modeling of energy quality parameters of grid connected photovoltaic inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 133-141.
    2. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
    3. Mukul Chankaya & Ikhlaq Hussain & Aijaz Ahmad & Irfan Khan & S.M. Muyeen, 2021. "Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System," Energies, MDPI, vol. 14(5), pages 1-22, March.
    4. Unamuno, Eneko & Barrena, Jon Andoni, 2015. "Hybrid ac/dc microgrids—Part II: Review and classification of control strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1123-1134.
    5. Zeng, Zheng & Shao, Weihua & Chen, Hao & Hu, Borong & Chen, Wensuo & Li, Hui & Ran, Li, 2017. "Changes and challenges of photovoltaic inverter with silicon carbide device," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 624-639.
    6. Li, Canbing & Cao, Chi & Cao, Yijia & Kuang, Yonghong & Zeng, Long & Fang, Baling, 2014. "A review of islanding detection methods for microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 211-220.
    7. Chatterjee, Shantanu & Kumar, Prashant & Chatterjee, Saibal, 2018. "A techno-commercial review on grid connected photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2371-2397.
    8. Bayrak, Gökay & Kabalci, Ersan, 2016. "Implementation of a new remote islanding detection method for wind–solar hybrid power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1-15.
    9. Rampinelli, G.A. & Krenzinger, A. & Chenlo Romero, F., 2014. "Mathematical models for efficiency of inverters used in grid connected photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 578-587.
    10. Guerrero-Rodríguez, N.F. & Rey-Boué, Alexis B. & Bueno, E.J. & Ortiz, Octavio & Reyes-Archundia, Enrique, 2017. "Synchronization algorithms for grid-connected renewable systems: Overview, tests and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 629-643.
    11. Marino Coppola & Pierluigi Guerriero & Adolfo Dannier & Santolo Daliento & Davide Lauria & Andrea Del Pizzo, 2020. "Control of a Fault-Tolerant Photovoltaic Energy Converter in Island Operation," Energies, MDPI, vol. 13(12), pages 1-18, June.
    12. Sultana, W. Razia & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yamuna, S. & Venkatesh, D., 2017. "A review on state of art development of model predictive control for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 391-406.
    13. Manditereza, Patrick Tendayi & Bansal, Ramesh, 2016. "Renewable distributed generation: The hidden challenges – A review from the protection perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1457-1465.
    14. Laghari, J.A. & Mokhlis, H. & Karimi, M. & Bakar, A.H.A. & Mohamad, Hasmaini, 2015. "An islanding detection strategy for distribution network connected with hybrid DG resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 662-676.
    15. Fan, Dongming & Ren, Yi & Feng, Qiang & Liu, Yiliu & Wang, Zili & Lin, Jing, 2021. "Restoration of smart grids: Current status, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    16. Khan, Mohammed Ali & Haque, Ahteshamul & Kurukuru, V.S. Bharath & Saad, Mekhilef, 2022. "Islanding detection techniques for grid-connected photovoltaic systems-A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    17. Unamuno, Eneko & Barrena, Jon Andoni, 2015. "Hybrid ac/dc microgrids—Part I: Review and classification of topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1251-1259.
    18. Shivashankar, S. & Mekhilef, Saad & Mokhlis, Hazlie & Karimi, M., 2016. "Mitigating methods of power fluctuation of photovoltaic (PV) sources – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1170-1184.
    19. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Mohammad A. Abido, 2021. "Islanding Detection Methods for Microgrids: A Comprehensive Review," Mathematics, MDPI, vol. 9(24), pages 1-23, December.
    20. Samet, Haidar & Hashemi, Farid & Ghanbari, Teymoor, 2015. "Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1-18.
    21. Taghi Hosseinzadeh Khonakdari & Mehrdad Ahmadi Kamarposhti, 2021. "Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-18, September.
    22. José Antonio Cebollero & David Cañete & Susana Martín-Arroyo & Miguel García-Gracia & Helder Leite, 2022. "A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes," Energies, MDPI, vol. 15(2), pages 1-30, January.

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