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Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation

Peizhe Xin Ying Liu Nan Yang Xuankun Song Yu Huang

全球能源互联网（英文）2020，Vol.3Issue(3)：247-258,12.

Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation

Peizhe Xin ¹Ying Liu ¹Nan Yang ²Xuankun Song ³Yu Huang¹

作者信息

1. State Grid Economic and Technological Research Institute Co. Ltd., State Grid Office District, North District of Future Science and Technology City, North Seven Changping District, Beijing 102209, P. R. China
2. Department of Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University, Yichang, Hubei Province 443000, P. R. China
3. Stevens Institute of Technology, Hoboken, NJ 07030, USA
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摘要

关键词

Moving average method/Signal decomposition/Wind power fluctuation characteristics/Kernel density estimation/Constrained order optimization

Key words

Moving average method/Signal decomposition/Wind power fluctuation characteristics/Kernel density estimation/Constrained order optimization

引用本文复制引用

Peizhe Xin,Ying Liu,Nan Yang,Xuankun Song,Yu Huang..Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation[J].全球能源互联网（英文）,2020,3(3):247-258,12.

基金项目

This work was supported by Science and Technology project of the State Grid Corporation of China "Research on Active Development Planning Technology and Comprehensive Benefit Analysis Method for Regional Smart Grid Comprehensive Demonstration Zone," and National Natural Science Foundation of China (51607104). （51607104）

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ISSN：2096-5117

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