Correlation modeling of power output among multiple wind farms based on scenario D vine Copula method

被引：0
|
作者：
Qiu, Yibin [1 ]
Li, Shihan [1 ]
Liu, Lu [1 ]
Wang, Yong [2 ]
Li, Qi [1 ]
Chen, Weirong [1 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu,610031, China
[2] Luzhou Power Supply Company, State Grid Sichuan Electric Power Company, Luzhou,646000, China
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2019年 / 40卷 / 10期
关键词：
Numerical methods;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
It is of great significance to establish accurately correlation model of multiple wind power output for evaluating wind power system. Focusing on the shortcoming of low precision of current correlation model of multiple wind power,a new scenario D-vine copula method is proposed,which combines the fuzzy C-means clustering,copulas function and D vine structure. The model can more accurately analyze the correlations between multiple wind power output. For validating the fitting accuracy and effectiveness of scenario D vine copula method,the model is verified by the measured output of a three adjacent wind farms in Australia is regarded as samples. The numerical results show the superiority of the proposed method. © 2019, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.
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页码：2960 / 2966
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