A New Point Estimate Method for Probabilistic Load Flow With Correlated Variables Including Wind Farms

被引：0
|
作者：
Chen, Can [1 ]
Wu, Wenchuan [1 ]
Zhang, Boming [1 ]
Singh, Chanan
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION | 2014年
关键词：
probabilistic load flow; Nataf transformation; point estimate method; wind power; POWER-FLOW;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a novel probabilistic load flow (PLF) method that combines Nataf transformation with Zhao's point estimate method (PEM) is proposed. The new method can deal with correlated non-normal input random variables (RVs) in PLF evaluation with improved accuracy and less computation time than existing methods. The proposed method is applied to a modified IEEE 118-bus test system with wind farms. A comparison with Monte Carlo Simulation (MCS) using correlated variables is presented. In the end, the sensitivity analysis considering different correlation coefficients of wind speed is shown.
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页数：5
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