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A review of islanding detection methods for microgrid

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  • Li, Canbing
  • Cao, Chi
  • Cao, Yijia
  • Kuang, Yonghong
  • Zeng, Long
  • Fang, Baling

Abstract

Renewable energy generation is considered as an important approach to solve energy and environment problems in the future. Distributed generation technique is a primary way to utilize renewable energy. Microgrid integrated with different kinds of distributed resources can improve energy efficiency and reduce the negative impact on power grid. Microgrid may operate in grid-connected or islanding mode, running on quite different strategies. Effective islanding detection methods are indispensable to realize optimal operation of microgrid. In this paper, performance indices and critical technique problems are discussed. Islanding detection methods are also classified. The paper aims to discuss the improvement of several performance indices, including non-detection zone (NDZ), detection time, error detection ratio and power quality, to evaluate different detection methods. Effectiveness in multiple-inverter cases is also analyzed. According to the comparison upon the advantages and disadvantages of each method, the applicability is discussed, which may provide a reference for researchers to select islanding detection methods.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:35:y:2014:i:c:p:211-220
    DOI: 10.1016/j.rser.2014.04.026
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    Cited by:

    1. 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.
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    5. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    6. 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).
    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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    10. Patrao, Iván & Figueres, Emilio & Garcerá, Gabriel & González-Medina, Raúl, 2015. "Microgrid architectures for low voltage distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 415-424.
    11. Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman & Forget, Thibault & DeForest, Nicholas & Agarwal, Ankit & Schönbein, Anna, 2016. "Value streams in microgrids: A literature review," Applied Energy, Elsevier, vol. 162(C), pages 980-989.
    12. 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.
    13. Balamurugan, M. & Sahoo, Sarat Kumar & Sukchai, Sukruedee, 2017. "Application of soft computing methods for grid connected PV system: A technological and status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1493-1508.
    14. Aref Pouryekta & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Frede Blaabjerg & Josep M. Guerrero, 2018. "Boundary Detection and Enhancement Strategy for Power System Bus Bar Stabilization—Investigation under Fault Conditions for Islanding Operation," Energies, MDPI, vol. 11(4), pages 1-22, April.
    15. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.
    16. 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.
    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. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi, 2018. "An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network," Energies, MDPI, vol. 11(10), pages 1-31, October.
    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. Babak Arbab-Zavar & Emilio J. Palacios-Garcia & Juan C. Vasquez & Josep M. Guerrero, 2019. "Smart Inverters for Microgrid Applications: A Review," Energies, MDPI, vol. 12(5), pages 1-22, March.

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