Probabilistic load flow computation of a power system containing wind farms using the method of combined cumulants and Gram-Charlier expansion

被引：90

作者：

Yuan, Y. ^{[1
]}

Zhou, J. ^{[1
]}

Ju, P. ^{[1
]}

Feuchtwang, J. ^{[2
]}

机构：

[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Jiangsu, Peoples R China

[2] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

IET RENEWABLE POWER GENERATION | 2011年 / 5卷 / 06期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1049/iet-rpg.2010.0218

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Load flow is highly uncertain with the large-scale integration of wind power. It is unrealistic to adopt traditional deterministic load flow calculation for system planning and operation. A method is proposed in this study combining cumulants and Gram-Charlier expansion to calculate probabilistic load flow (PLF) of power system containing large-scale wind power. It has significantly reduced the computational time compared to Monte Carlo methods while maintaining a high degree of accuracy. The method was found quite suitable for the PLF calculation of power system with large-scale wind power injected.

引用

页码：448 / 454

页数：7

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