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.
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页码：1655 / 1664
页数：10
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