Real-Time Monitoring of Long-Term Voltage Stability via Local Linear Regression

被引：0
|
作者：
Li, Shiyang [1 ]
Ajjarapu, Venkataramana [1 ]
机构：
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA USA
来源：
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词：
TREE;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A novel approach for real-time monitoring of long-term voltage stability using local linear regression and adaptive training database is proposed in this paper. Comparing to previous methods, the proposed local predictive regression model could properly balance the simplicity/transparency and accuracy, and it is also adaptive to the changes of system and operating conditions. The approach is tested on IEEE 30-bus system. Preliminary results show that it can be successfully employed in online voltage stability monitoring.
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页数：5
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