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Probabilistic Optimal Power Flow Considering the Dependence of Multiple Wind Farms Using Pair Diffusive Kernel Copula

Tianyao Ji Yantai Lin Yuzi Jiang Mengshi Li Qing-Hua Wu

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(5)：1641-1654,14.

中国电机工程学会电力与能源系统学报（英文版）2023，Vol.9Issue(5)：1641-1654,14.DOI:10.17775/CSEEJPES.2020.07010

Probabilistic Optimal Power Flow Considering the Dependence of Multiple Wind Farms Using Pair Diffusive Kernel Copula

Tianyao Ji ¹Yantai Lin ¹Yuzi Jiang ¹Mengshi Li ¹Qing-Hua Wu¹

作者信息

1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China
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摘要

关键词

Bivariate diffusive kernel copula/correlated wind speeds/pair diffusive kernel copula/probabilistic optimal power flow/quasi-Monte Carlo/Rosenblatt transformation

Key words

Bivariate diffusive kernel copula/correlated wind speeds/pair diffusive kernel copula/probabilistic optimal power flow/quasi-Monte Carlo/Rosenblatt transformation

引用本文复制引用

Tianyao Ji,Yantai Lin,Yuzi Jiang,Mengshi Li,Qing-Hua Wu..Probabilistic Optimal Power Flow Considering the Dependence of Multiple Wind Farms Using Pair Diffusive Kernel Copula[J].中国电机工程学会电力与能源系统学报（英文版）,2023,9(5):1641-1654,14.

基金项目

This work is supported by Key-Area Research and Development Program of Guangdong Province(No.2020B010166004)and the National Natural Science Foundation of China(No.52077081). （No.2020B010166004）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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