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Wavelet transform method for islanding detection of wind turbines

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  • Karegar, H. Kazemi
  • Sobhani, B.

Abstract

This paper presents a passive islanding detection method for wind turbines. The proposed method is based on voltage measurements and processing of this voltage with a discrete wavelet transform. This method detects the islanding conditions with the analysis of Daubiches wavelets. The studies reported in this paper are based on time-domain simulations using MATLAB, and the feasibility of the proposed method is evaluated with an experimental system. The experimental system parameters are the same as those of the simulated system. The results show that the proposed islanding detection method succeeds in detecting islanding both in the experimental and simulated systems.

Suggested Citation

  • Karegar, H. Kazemi & Sobhani, B., 2012. "Wavelet transform method for islanding detection of wind turbines," Renewable Energy, Elsevier, vol. 38(1), pages 94-106.
    • Handle: RePEc:eee:renene:v:38:y:2012:i:1:p:94-106
    DOI: 10.1016/j.renene.2011.07.002
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    References listed on IDEAS

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    1. Jiayi, Huang & Chuanwen, Jiang & Rong, Xu, 2008. "A review on distributed energy resources and MicroGrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2472-2483, December.
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    1. 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.
    2. 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.
    3. 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.
    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.

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