Stochastic estimation of voltage sags in a large meshed network

被引：95

作者：

Park, Chang-Hyun ^{[1
]}

Jang, Gilsoo

机构：

[1] Korea Univ, Next Generat Power Technol Ctr, Seoul 136701, South Korea

[2] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2007年 / 22卷 / 03期

基金：

欧洲研究理事会;

关键词：

area of vulnerability; power quality; stochastic assessment; voltage sags;

D O I：

10.1109/TPWRD.2006.886795

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：

This paper presents a method for stochastic prediction of voltage sags caused by faults in a power system. The area of vulnerability must be determined to estimate the expected sag frequency (ESF) at a sensitive load site. However, the area of vulnerability is not easy to identify in a large meshed network. In the paper, the residual phase voltage equations for balanced and unbalanced faults are presented, and an efficient method to determine the area of vulnerability in a large meshed network is described. An ESF estimation method based on Information Technology Industry Council (ITIC) curve is also described. The developed method was applied to the IEEE 30-bus test system.

引用

下载

页码：1655 / 1664

页数：10

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