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• W3110857656 abstract "The wind power ramp event includes large fluctuations in wind power within a short period of time. To maintain grid stability, defining, identifying, and predicting the wind power ramp event is inevitable. Therefore, a comprehensive assessment method of wind power ramp events that combines the generalized information of the source, grid, and load sides is proposed. In this method, we put forward a channel self-selected multi-layer coefficient correction model (CSMCC) and wind power ramp threshold, according to the allowable value of a grid frequency change. Additionally, the availability of data-driven modeling methods is verified by performing autocorrelation analysis. Finally, the comprehensive evaluation method, which combines the back propagation (BP) neural network, supports the vector machine and CSMCC model is proved to be effective. This paper has a certain reference significance for basic research on large-scale wind power safety and efficient utilization." @default.
• W3110857656 created "2020-12-21" @default.
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• W3110857656 date "2020-12-09" @default.
• W3110857656 modified "2023-09-24" @default.
• W3110857656 title "An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load" @default.
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• W3110857656 doi "https://doi.org/10.3390/en13246503" @default.
• W3110857656 hasPublicationYear "2020" @default.
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