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Modeling anti-islanding protection devices for photovoltaic systems

Author

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  • Xu, Mei
  • Melnik, Roderick V.N.
  • Borup, Uffe

Abstract

Applications of grid-connected photovoltaic systems are rapidly expanding, providing a viable technology for renewable energy resources. Such systems are utility interactive and one of the major difficulties in their efficient use is related to islanding phenomena connected with a possibility of supplying surplus power back to the utility grid. In detecting and preventing such situations, anti-islanding protection devices play a paramount role. In this paper, we analyze the existing techniques in order to identify a methodology with an optimum combination of characteristics. We implement the chosen methodologies in SIMULINK. Major attention is given to the phase jump detection method (PJD), and to the slip mode frequency shift method (SMS) for which we provide a detailed description of our SIMULINK implementations and their evaluations performed on the basis of their non-detection zones. We develop an experimental iterative scheme to validate the results of computational experiments obtained with the developed models, and report the results of several computational tests.

Suggested Citation

  • Xu, Mei & Melnik, Roderick V.N. & Borup, Uffe, 2004. "Modeling anti-islanding protection devices for photovoltaic systems," Renewable Energy, Elsevier, vol. 29(15), pages 2195-2216.
  • Handle: RePEc:eee:renene:v:29:y:2004:i:15:p:2195-2216
    DOI: 10.1016/j.renene.2004.04.005
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    Citations

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    Cited by:

    1. Issaadi, Wassila & Khireddine, Abdelkrim & Issaadi, Salim, 2016. "Management of a base station of a mobile network using a photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1570-1590.
    2. Chayawatto, Nattapong & Kirtikara, Krissanapong & Monyakul, Veerapol & Jivacate, Chiya & Chenvidhya, Dhirayut, 2009. "DC–AC switching converter modelings of a PV grid-connected system under islanding phenomena," Renewable Energy, Elsevier, vol. 34(12), pages 2536-2544.
    3. Ben Salah, Chokri & Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Multi-criteria fuzzy algorithm for energy management of a domestic photovoltaic panel," Renewable Energy, Elsevier, vol. 33(5), pages 993-1001.
    4. Sallem, Souhir & Chaabene, Maher & Kamoun, M.B.A., 2009. "Energy management algorithm for an optimum control of a photovoltaic water pumping system," Applied Energy, Elsevier, vol. 86(12), pages 2671-2680, December.
    5. Chen, Cheng-Chuan & Chang, Hong-Chan & Kuo, Cheng-Chien & Lin, Chien-Chin, 2013. "Programmable energy source emulator for photovoltaic panels considering partial shadow effect," Energy, Elsevier, vol. 54(C), pages 174-183.
    6. Chaabene, Maher & Ammar, Mohsen Ben & Elhajjaji, Ahmed, 2007. "Fuzzy approach for optimal energy-management of a domestic photovoltaic panel," Applied Energy, Elsevier, vol. 84(10), pages 992-1001, October.
    7. 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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