An analytical method to solve the probabilistic load flow considering load demand correlation using the DC load flow

被引：51

作者：

Villanueva, Daniel ^{[1
]}

Feijoo, Andres E. ^{[1
]}

Pazos, Jose L. ^{[1
]}

机构：

[1] Univ Vigo, Dept Enxeneria Elect, Vigo 36310, Spain

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2014年 / 110卷

关键词：

Probabilistic load flow; Load correlation; Gram-Charlier expansion; Cumulants; GRAM-CHARLIER EXPANSION; POWER-FLOW; COMBINED CUMULANTS; COMPUTATION; SYSTEM;

D O I：

10.1016/j.epsr.2014.01.003

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：

Probabilistic load flow (PLF) analyses the probability behaviour of the power injected and demanded in an electrical network, providing cumulative results of the power flowing through its lines. However, the probability behaviour analysis is not complete if the correlation between load demands has not been considered. Environmental or social factors can lead to such correlation. This paper proposes an analytical method to solve the PLF considering load demand correlation. It is based on the use of cumulants and Gram-Charlier expansion. The development proposed in the paper has been proved, the consistency of the method has been checked and the influence of the correlation in the solution of the PLF is shown. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：1 / 8

页数：8

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