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An active islanding detection technique for current controlled inverter

Author

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  • Indu Rani, B.
  • Srikanth, M.
  • Saravana Ilango, G.
  • Nagamani, C.

Abstract

This paper presents an active islanding detection technique suitable for current controlled inverters. The method is based on reducing the magnitude of the injected current periodically and monitoring the voltage at the point of common coupling (PCC). Under grid failure, the change in voltage at the PCC exceeds the allowable voltage threshold and islanding is detected. The change in the PCC voltage depends on the ratio by which current is reduced and is independent of the magnitude of current. Hence the voltage threshold remains the same irrespective of the loading conditions. A simple control circuit is incorporated into the inverter control to enable islanding detection. The perturbation caused by this method does not affect the zero crossing of the inverter current nor introduce any distortion as in case of other active anti islanding techniques. The performance of the proposed technique applied to a current controlled inverter is simulated in MATLAB/Simulink environment. The feasibility of the technique is ascertained by conducting experimental test on the prototype unit built in the laboratory. The algorithm is implemented on an ALTERA CYCLONE II FPGA board and the results are presented to show that the proposed method can effectively detect the islanding condition regardless of the load conditions.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:51:y:2013:i:c:p:189-196
    DOI: 10.1016/j.renene.2012.09.019
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    References listed on IDEAS

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    1. 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.
    2. Yu, Byunggyu & Matsui, Mikihiko & Jung, Youngseok & Yu, Gwonjong, 2008. "A combined active anti-islanding method for photovoltaic systems," Renewable Energy, Elsevier, vol. 33(5), pages 979-985.
    3. 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.
    4. 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.
    5. Indu Rani, B. & Saravana Ilango, G. & Nagamani, C., 2012. "Power flow management algorithm for photovoltaic systems feeding DC/AC loads," Renewable Energy, Elsevier, vol. 43(C), pages 267-275.
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    Cited by:

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    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Ahmed G. Abokhalil & Ahmed Bilal Awan & Abdel-Rahman Al-Qawasmi, 2018. "Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems," Sustainability, MDPI, vol. 10(6), pages 1-15, May.

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