IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i5p837-d210662.html
   My bibliography  Save this article

Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Author

Listed:
  • Min-Sung Kim

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Raza Haider

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
    Department of Electrical Engineering, Balochistan University of Engineering and Technology, Khuzdar 89100, Pakistan)

  • Gyu-Jung Cho

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Chul-Hwan Kim

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Chung-Yuen Won

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

  • Jong-Seo Chai

    (Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea)

Abstract

The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:837-:d:210662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/5/837/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/5/837/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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.
    4. Fabio Bignucolo & Alberto Cerretti & Massimiliano Coppo & Andrea Savio & Roberto Turri, 2017. "Impact of Distributed Generation Grid Code Requirements on Islanding Detection in LV Networks," Energies, MDPI, vol. 10(2), pages 1-16, January.
    5. 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.
    6. Velasco, D. & Trujillo, C.L. & Garcerá, G. & Figueres, E., 2010. "Review of anti-islanding techniques in distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(6), pages 1608-1614, August.
    7. Heidari, Mehrdad & Seifossadat, Ghodratollah & Razaz, Morteza, 2013. "Application of decision tree and discrete wavelet transform for an optimized intelligent-based islanding detection method in distributed systems with distributed generations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 525-532.
    8. Llaria, Alvaro & Curea, Octavian & Jiménez, Jaime & Camblong, Haritza, 2011. "Survey on microgrids: Unplanned islanding and related inverter control techniques," Renewable Energy, Elsevier, vol. 36(8), pages 2052-2061.
    9. 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.
    10. Muhammad Saeed Uz Zaman & Syed Basit Ali Bukhari & Khalid Mousa Hazazi & Zunaib Maqsood Haider & Raza Haider & Chul-Hwan Kim, 2018. "Frequency Response Analysis of a Single-Area Power System with a Modified LFC Model Considering Demand Response and Virtual Inertia," Energies, MDPI, vol. 11(4), pages 1-20, March.
    11. 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.
    12. 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.
    13. 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.
    14. Taiying Zheng & Huan Yang & Rongxiang Zhao & Yong Cheol Kang & Vladimir Terzija, 2018. "Design, Evaluation and Implementation of an Islanding Detection Method for a Micro-grid," Energies, MDPI, vol. 11(2), pages 1-24, February.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Faisal Mumtaz & Kashif Imran & Abdullah Abusorrah & Syed Basit Ali Bukhari, 2023. "An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    2. 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.
    3. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    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. Bruno Silva Torres & Luiz Eduardo Borges da Silva & Camila Paes Salomon & Carlos Henrique Valério de Moraes, 2022. "Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks," Energies, MDPI, vol. 15(7), pages 1-28, March.
    6. Md Mainul Islam & Mahmood Nagrial & Jamal Rizk & Ali Hellany, 2021. "General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review," Sustainability, MDPI, vol. 13(16), pages 1-45, August.
    7. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    8. Muhammad Hafeez Mohamed Hariri & Mohd Khairunaz Mat Desa & Syafrudin Masri & Muhammad Ammirrul Atiqi Mohd Zainuri, 2020. "Grid-Connected PV Generation System—Components and Challenges: A Review," Energies, MDPI, vol. 13(17), pages 1-28, August.
    9. Saeid Esmaeili & Amjad Anvari-Moghaddam & Shahram Jadid, 2019. "Optimal Operational Scheduling of Reconfigurable Multi-Microgrids Considering Energy Storage Systems," Energies, MDPI, vol. 12(9), pages 1-23, May.
    10. 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.
    11. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    12. Nitin Kumar Kulkarni & Mohan Khedkar & Chandrashekhar Narayan Bhende & Sunil Kumar Singh, 2022. "Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands," Energies, MDPI, vol. 15(17), pages 1-25, September.
    13. Mohammad Abu Sarhan, 2023. "An Extensive Review and Analysis of Islanding Detection Techniques in DG Systems Connected to Power Grids," Energies, MDPI, vol. 16(9), pages 1-22, April.
    14. Karthikeyan Subramanian & Ashok Kumar Loganathan, 2020. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation," Energies, MDPI, vol. 13(19), pages 1-31, October.
    15. Mezzour Ghita & Benhadou Siham & Medromi Hicham & Mounaam Amine, 2022. "HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring," Energies, MDPI, vol. 15(15), pages 1-38, July.
    16. Krzysztof Dmitruk & Andrzej Sikorski, 2022. "Implementation of the Improved Active Frequency Drift Anti-Islanding Method into the Three-Phase AC/DC Converter with the LCL Grid Filter," Energies, MDPI, vol. 15(4), pages 1-14, February.
    17. da Silva Benedito, Ricardo & Zilles, Roberto & Pinho, João Tavares, 2021. "Overcoming the power factor apparent degradation of loads fed by photovoltaic distributed generators," Renewable Energy, Elsevier, vol. 164(C), pages 1364-1375.
    18. Adriana Mar & Pedro Pereira & João F. Martins, 2019. "A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience," Energies, MDPI, vol. 12(24), pages 1-21, December.
    19. Phylicia Cicilio & David Glennon & Adam Mate & Arthur Barnes & Vishvas Chalishazar & Eduardo Cotilla-Sanchez & Bjorn Vaagensmith & Jake Gentle & Craig Rieger & Richard Wies & Mohammad Heidari Kapourch, 2021. "Resilience in an Evolving Electrical Grid," Energies, MDPI, vol. 14(3), pages 1-25, January.
    20. 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.
    21. 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).
    22. Yasser A. Elshrief & Sameh Abd-Elhaleem & Sulayman Kujabi & Dalal H. Helmi & Belal A. Abozalam & Amin D. Asham, 2022. "Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    23. 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.
    24. Thanh Van Nguyen & Kyeong-Hwa Kim, 2019. "Power Flow Control Strategy and Reliable DC-Link Voltage Restoration for DC Microgrid under Grid Fault Conditions," Sustainability, MDPI, vol. 11(14), pages 1-27, July.
    25. Szymon Barczentewicz & Tomasz Lerch & Andrzej Bień & Krzysztof Duda, 2021. "Laboratory Evaluation of a Phasor-Based Islanding Detection Method," Energies, MDPI, vol. 14(7), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    3. 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.
    4. Md Mainul Islam & Mahmood Nagrial & Jamal Rizk & Ali Hellany, 2021. "General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review," Sustainability, MDPI, vol. 13(16), pages 1-45, August.
    5. 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.
    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. 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.
    8. 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.
    9. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management – part II: System operation, power quality and protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 440-451.
    10. 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).
    11. 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.
    12. 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.
    13. Rosa Anna Mastromauro, 2020. "Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems," Energies, MDPI, vol. 13(13), pages 1-25, July.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Taiying Zheng & Huan Yang & Rongxiang Zhao & Yong Cheol Kang & Vladimir Terzija, 2018. "Design, Evaluation and Implementation of an Islanding Detection Method for a Micro-grid," Energies, MDPI, vol. 11(2), pages 1-24, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:837-:d:210662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.