A three-point estimate method for solving probabilistic power flow problems with correlated random variables

被引：0
作者：
Yang, Huan [1 ]
Zou, Bin [1 ]
机构：
[1] School of Mechatronics and Automation, Shanghai University
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2012年 / 36卷 / 15期
关键词：
Correlation; Probabilistic power flow; Third-order polynomial normal transformation (TPNT); Three-point estimation;
D O I：
10.3969/j.issn.1000-1026.2012.15.009
中图分类号：
学科分类号：
摘要：
The third-order polynomial normal transformation (TPNT) technique was employed to transform a multivariate non-normal dependent random variables group into a multivariate standard normal independent one. Sampling points were obtained in the standard normal independent variable space and transformed into multivariate non-normal dependent ones. Incorporating three-point estimate method with TPNT technique, a TPNT-based three-point estimate method is proposed to solve probabilistic power flow problems with non-normal dependent variables. A case study on a slightly modified IEEE 118-bus system shows that, the proposed method has high accuracy and computational efficiency. It is a qualified tool to discuss the probabilistic power flow problems with non-normal dependent variables.
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收藏
页码：51 / 56
页数：5
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