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Islanding Fault Detection in Microgrids—A Survey

Author

Listed:
  • Mehdi Hosseinzadeh

    (Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130-4899, USA)

  • Farzad Rajaei Salmasi

    (School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 14395-515, Iran)

Abstract

This paper provides an overview of islanding fault detection in microgrids. Islanding fault is a condition in which the microgrid gets disconnected from the microgrid unintentionally due to any fault in the utility grid. This paper surveys the extensive literature concerning the development of islanding fault detection techniques which can be classified into remote and local techniques, where the local techniques can be further classified as passive, active, and hybrid. Various detection methods in each class are studied, and advantages and disadvantages of each method are discussed. A comprehensive list of references is used to conduct this survey, and opportunities and directions for future research are highlighted.

Suggested Citation

  • Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3479-:d:380749
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    References listed on IDEAS

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    1. Jiayi, Huang & Chuanwen, Jiang & Rong, Xu, 2008. "A review on distributed energy resources and MicroGrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2472-2483, December.
    2. 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.
    3. Thanh Son Tran & Duc Tuyen Nguyen & Goro FUJITA, 2018. "Islanding Detection Method Based on Injecting Perturbation Signal and Rate of Change of Output Power in DC Grid-Connected Photovoltaic System," Energies, MDPI, vol. 11(5), pages 1-18, May.
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    7. Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G., 2010. "Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing," Applied Energy, Elsevier, vol. 87(11), pages 3591-3605, November.
    8. Dejian Yang & Moses Kang & Eduard Muljadi & Wenzhong Gao & Junhee Hong & Jaeseok Choi & Yong Cheol Kang, 2017. "Short-Term Frequency Response of a DFIG-Based Wind Turbine Generator for Rapid Frequency Stabilization," Energies, MDPI, vol. 10(11), pages 1-14, November.
    9. Furqan Asghar & Muhammad Talha & Sung Ho Kim, 2017. "Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid," Energies, MDPI, vol. 10(6), pages 1-20, May.
    10. Dionisis Voglitsis & Fotis Valsamas & Nick Rigogiannis & Nick Papanikolaou, 2018. "On the Injection of Sub/Inter-Harmonic Current Components for Active Anti-Islanding Purposes," Energies, MDPI, vol. 11(9), pages 1-19, August.
    11. 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.
    12. Khamis, Aziah & Shareef, Hussain & Bizkevelci, Erdal & Khatib, Tamer, 2013. "A review of islanding detection techniques for renewable distributed generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 483-493.
    13. Chao Huang & Longpeng Cao & Nanxin Peng & Sijia Li & Jing Zhang & Long Wang & Xiong Luo & Jenq-Haur Wang, 2018. "Day-Ahead Forecasting of Hourly Photovoltaic Power Based on Robust Multilayer Perception," Sustainability, MDPI, vol. 10(12), pages 1-8, December.
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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. Wenbin Su & Hongbo Wei & Penghua Guo & Ruizhe Guo, 2021. "Remote Monitoring and Fault Diagnosis of Ocean Current Energy Hydraulic Transmission and Control Power Generation System," Energies, MDPI, vol. 14(13), pages 1-18, July.
    3. Milosz Krysik & Krzysztof Piotrowski & Krzysztof Turchan, 2022. "Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter," Energies, MDPI, vol. 15(2), pages 1-20, January.
    4. Mazaher Karimi & Mohammad Farshad & Qiteng Hong & Hannu Laaksonen & Kimmo Kauhaniemi, 2020. "An Islanding Detection Technique for Inverter-Based Distributed Generation in Microgrids," Energies, MDPI, vol. 14(1), pages 1-18, December.
    5. 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.
    6. Varaha Satra Bharath Kurukuru & Ahteshamul Haque & Mohammed Ali Khan & Subham Sahoo & Azra Malik & Frede Blaabjerg, 2021. "A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 14(15), pages 1-35, August.
    7. 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).
    8. Jong Ju Kim & June Ho Park, 2021. "A Novel Structure of a Power System Stabilizer for Microgrids," Energies, MDPI, vol. 14(4), pages 1-33, February.
    9. 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.
    10. Jorge De La Cruz & Eduardo Gómez-Luna & Majid Ali & Juan C. Vasquez & Josep M. Guerrero, 2023. "Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends," Energies, MDPI, vol. 16(5), pages 1-37, February.
    11. 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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