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- W4285192642 abstract "This paper presents wavelet and fractional fourier transform based adaptive protection in low X/R microgrid architecture to analyse fault coefficients through wavelet analysis and fractional fourier transform under islanded and grid connected modes of operation. This approach can be extended for island detection and fault nature classification during different modes of microgrid operation. Its efficacy in the real time scenario is tested under the shunt faults during different modes of microgrid operation. Different phase faults, and earth faults are simulated both in islanded and grid connected modes using Matlab/Simulink software. The waveforms wavelet coefficients of fault current in Iq attributes in each mode are detected based on fractional fourier transform. The proposed adaptive protection technique reduces the separate analysis of transients for real time applications and is found out to be more accurate and robust in comparison to other approaches. The simulation results reveal that there are specific distinguishable changes in the fault current contribution for different types of faults in microgrid operation. Accordingly, intelligent adaptive protection scheme is proposed for fault detection, and island detection to ensure secure and reliable performance of protective relay for microgrid structures." @default.
- W4285192642 created "2022-07-14" @default.
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- W4285192642 date "2022-01-01" @default.
- W4285192642 modified "2023-10-14" @default.
- W4285192642 title "Adaptive protection of microgrid through abrupt change analysis and fractional fourier transform" @default.
- W4285192642 doi "https://doi.org/10.1049/icp.2022.0979" @default.
- W4285192642 hasPublicationYear "2022" @default.
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