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• W2027435451 abstract "In the process of connected wind generation with the power grid, the classification and recognition of power quality disturbance signals which are researched by the scholars at home and abroad are always the hot issues in Power System. A new method using Fractional Fourier Transform (FRFT) with Wavelet Entropy is presented for recognizing the signals of PQ disturbance based on the characteristics of power quality (PQ) signals. FRFT have better time-frequency aggregation and can choose better domain instead of and make PQ disturbance recognize more accurately with wavelet entropy. Simulation results demonstrate its effectiveness." @default.
• W2027435451 created "2016-06-24" @default.
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• W2027435451 creator A5065850116 @default.
• W2027435451 date "2011-10-01" @default.
• W2027435451 modified "2023-09-23" @default.
• W2027435451 title "Power Quality Disturbance Research of Grid-Connected Wind Generation Based on Fractional Fourier Transform with Wavelet Entropy" @default.
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• W2027435451 doi "https://doi.org/10.4028/www.scientific.net/amm.130-134.1600" @default.
• W2027435451 hasPublicationYear "2011" @default.
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