Comparison of Different Methods in Stochastic Power Flow with Correlated Wind Power Generation

被引：2

作者：

Lin, Chaofan ^{[1
]}

Bie, Zhaohong ^{[1
]}

Zhou, Baorong ^{[2
]}

Wang, Tong ^{[2
]}

Wang, Tao ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, Shaanxi Prov Key Lab Smart Grid, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China

[2] China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 28期

基金：

中国国家自然科学基金;

关键词：

Stochastic power flow; Correlation; Wind power generation; Cumulant Method; Probability; PROBABILISTIC LOAD FLOW;

D O I：

10.1016/j.ifacol.2018.11.679

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As increasing penetration of renewable energy, stochastic power flow method becomes an essential tool to analyze the randomness and variation in power system. Conventional methods cannot count in the correlation between input random variables, which will lead to obvious error in most cases. Consequently, it's necessary to study enhanced methods, and also conduct comparisons among them to provide criteria for method selection. This paper builds up the basic frame of stochastic power flow methods considering correlation and compares them, especially two typical cumulant methods, in aspects of accuracy, efficiency and complexity. Useful conclusions are obtained for further study and application. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：67 / 72

页数：6

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