Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network
The large-scale integration of offshore wind power into the power grid has brought serious challenges to the power system power quality. Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcup...
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Veröffentlicht in: | PloS one 2024-12, Vol.19 (12), p.e0314720 |
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Sprache: | eng |
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