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

机译:两种数据集对风电相关性的研究与比较

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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受到极大挑战。考虑到风的随机性和地理分布的风电场的耦合关系,本文将基于风速数据集和风能输出数据集进行基于copula的风能空间相关性研究时的分析方法和结果进行了比较。结合几种修订标准,提出了一种新颖的方法来选择系镜类型并判断拟合优度。在案例研究中,重点突出并比较了使用两个数据集的copula模型和典型场景。研究结果明确了使用不同数据集的优缺点。

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