IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v40y2014icp311-317.html
   My bibliography  Save this article

Overview of anti-islanding US patents for grid-connected inverters

Author

Listed:
  • Guo, Xiaoqiang
  • Xu, David
  • Wu, Bin

Abstract

Recent rapid interest in renewable energy generation, especially high penetration of the grid-connected photovoltaic system, is imposing new challenges to the anti-islanding protection. In practice, there is a potential risk of failure for anti-islanding protection due to the interaction between different islanding detection algorithms. It is of great importance to identify which kind of islanding detection methods are used in field applications for further analysis of this interaction problem. Although many anti-islanding detection methods have been reported in the last decades, most of them have been presented and discussed from the academic point of view, and they are very interesting, but complicated to implement and might not be practical for real applications. Therefore, the objective of this paper is to provide a comprehensive review of relevant international patents to find out the potential anti-islanding algorithms in real applications, which would be useful for the further investigations of interaction between different anti-islanding algorithms in a real distributed grid.

Suggested Citation

  • Guo, Xiaoqiang & Xu, David & Wu, Bin, 2014. "Overview of anti-islanding US patents for grid-connected inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 311-317.
  • Handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:311-317
    DOI: 10.1016/j.rser.2014.07.190
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211400642X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2014.07.190?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Karegar, H. Kazemi & Sobhani, B., 2012. "Wavelet transform method for islanding detection of wind turbines," Renewable Energy, Elsevier, vol. 38(1), pages 94-106.
    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. Hasan, Rasedul & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Grid-connected isolated PV microinverters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1065-1080.
    2. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    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. 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.

    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. 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.
    2. 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.
    3. 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.

    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:eee:rensus:v:40:y:2014:i:c:p:311-317. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.