Probabilistic load flow in systems with wind generation

被引：121
作者：
Usaola, J. [1 ]
机构：
[1] Univ Carlos III Madrid, Dept Ingn Elect, E-28903 Getafe, Spain
来源：
IET GENERATION TRANSMISSION & DISTRIBUTION | 2009年 / 3卷 / 12期
关键词：
OPTIMAL POWER-FLOW; EXPANSIONS; PREDICTION;
D O I：
10.1049/iet-gtd.2009.0039
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind generation, (ii) load and (iii) generation availability in power systems is proposed. Dependence between random variables has been considered. The method is based on the properties of cumulants of random variables. Cornish-Fisher expansion series are used to obtain the cumulative distribution function (CDF) of the output variables. Multimodal CDF are obtained by convolutions, whose number has been minimised in order to decrease the computation requirements.
引用
收藏
页码：1031 / 1041
页数：11
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