arrow
返回

Statistical method for on-line voltage collapse proximity estimation

delete2016-11-01
delete1
PRE
AI
F
Fredy A. Sanz *
J
Juan M. Ramírez
J
Johnny Posada
DOI:10.1016/j.ijepes.2016.03.035delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper is aimed to propose a reliable method for estimating the voltage collapse proximity through a model obtained using statistical techniques. In the model building process a database is required, therefore the Voltage Collapse Proximity Index (VCPI) is used to obtain previous readings for different contingencies and loading conditions. This analytical proposal could be combined with existing equipment in the power system control centers for future on-line applications. The proposed method is applied to the IEEE 14-bus test system and the 190-bus Mexican equivalent. Results indicate that the proposed strategy is a reliable choice. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Statistic
Voltage stability
Voltage collapse
Estimation
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

I
International Journal of Electrical Power and Energy Systems
IF:
5
论文数:
1.1W
被引数:
3.1W

机构

U
universidad autonoma de occidente
学者数:
170
论文数: 126
被引数: 0
引用论文

引用论文

err分享
err收藏
Real-Time Monitoring of Short-Term Voltage Stability Using PMU Data基于PMU数据的短期电压稳定性实时监测
err2013-11-01
err143
PREAI
errDasgupta, Sambarta; Paramasivam, Magesh; Vaidya, Umesh; Ajjarapu, Venkataramana
err分享
err收藏
err分享
err收藏
Robust WLS estimator using reweighting techniques for electric energy systems
err2013-11-01
err22
PREAI
errCaro, Eduardo; Minguez, Roberto; Conejo, Antonio J.
err分享
err收藏
学者 查看更多内容