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

被引：88
|
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
收藏
页码：448 / 454
页数：7
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