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- W2378839384 abstract "To model the fluctuation characteristics of wind power is the basis for solving wind power integration problems. Considering the correlation and smoothing effect of wind power, the paper studies statistical models of wind power fluctuations in different spatial and temporal scales. It first uses hypothesis testing to analyze the distribution model of wind power fluctuations based on measured data, verifying that the combined Gaussian distribution model has higher fitting precision than normal distribution. The paper then establishes the combined Gaussian distribution model and the confidence interval model for the probability density distribution of wind power variation pattern, and studies the law about the scale influence on parameters. Then the evaluation index of smoothing effect which can reflect the effect of wind-farm aggregation on smoothing wind power fluctuations is defined. And the relationship between such index and the correlation coefficient modeled as the linear function reflects the growth and decline relationship between smoothing effect and correlation. The paper proposes the statistical methods for evaluating large-scale wind power fluctuation and smoothing effect and correlation, which improves the accuracy of the fluctuation models and the integrality of indices." @default.
- W2378839384 created "2016-06-24" @default.
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- W2378839384 date "2012-01-01" @default.
- W2378839384 modified "2023-09-28" @default.
- W2378839384 title "Research on statistical modeling of large-scale wind farms output fluctuations in different spacial and temporal scales" @default.
- W2378839384 hasPublicationYear "2012" @default.
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