A new computation method for probabilistic load flow study

被引:0
|
作者
Zhang, P [1 ]
Lee, ST [1 ]
机构
[1] EPRI, Palo Alto, CA USA
关键词
probabilistic load flow; probability distribution function; power system planning; Cumulants; Gram-Charlier expansion;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new method of computing the probability distribution functions of line flows using combined Cumulants and Gram-Charlier expansion method. This new method significantly reduces the computation burden so that it can be used as a quick screening tool to determine the major investment on reinforcing transmission networks. This allows system planners to perform probabilistic analysis of large-scale power systems within reasonable time frame.
引用
收藏
页码:2038 / 2042
页数:5
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