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Study and Comparison of Wind Power Correlation Using Two Types of Dataset

机译:使用两种数据集的风电相关研究与比较

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With the integration of large-scale wind farms, stability and economy of power grid are greatly challenged. Considering the stochastic characteristics of wind and the coupling relationship of geographically distributed wind farms, this paper presents the comparison of analysis methods and results when using wind speed dataset and wind power output dataset in wind power spatial correlation research based on copula. Combined with several revised criteria, a novel method is proposed to select copula type and judge goodness of fit. In the case study, copula models and typical scenarios using the two datasets are highlighted and compared. Study results clarified the advantages and disadvantages of using different datasets.
机译:随着大型风电场的整合,电网的稳定性和经济性极大地受到挑战。考虑到地理分布式风电场的风速和耦合关系的随机特征,本文介绍了基于Copula风电空间相关研究中的风速数据集和风力输出数据集的分析方法和结果的比较。结合若干修订标准,提出了一种新的方法来选择拷贝型和判断合适的良性。在案例研究中,突出显示使用两个数据集的Copula模型和典型方案。研究结果阐明了使用不同数据集的优缺点。

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