Probabilistic load flow with versatile non-Gaussian power injections

被引：26

作者：

Carmona-Delgado, Cristina ^{[1
]}

Romero-Ramos, Esther ^{[1
]}

Riquelme-Santos, Jesus ^{[1
]}

机构：

[1] Univ Seville, Dept Elect Engn, Seville 41092, Spain

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2015年 / 119卷

关键词：

Probabilistic load flow; Gaussian Mixture Model; Probabilistic density function; Monte Carlo simulation; EXPANSION;

D O I：

10.1016/j.epsr.2014.10.006

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 probabilistic load flow distinguished by the versatility in the way in which input data can be provided is presented. The main contribution of the proposal involves taking advantage of the data available as well as completing any missing information. This enables the proposal to be applied at any voltage level, even in medium-voltage networks where there is a glaring lack of systematic data collection. The use of the Gaussian Mixture Model is also a key feature of the proposed solution, and determinant in the final solution. Not only does the detailed and thorough analysis through numerous tests demonstrate the good performance of the proposed procedure, but it also confirms the accuracy of the results. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：266 / 277

页数：12

共 23 条

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