Applications of data mining technique for power system transient stability prediction

被引：5
|
作者：
Xu, T [1 ]
He, RM [1 ]
Wang, P [1 ]
Xu, DJ [1 ]
机构：
[1] N China Elect Power Univ, Dept Elect Power Engn, Beijing 102206, Peoples R China
来源：
PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION, RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1 AND 2 | 2004年
关键词：
transient stability; data market; online analytical processing; data mining;
D O I：
10.1109/DRPT.2004.1338527
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper presents a data mining framework for the historical data of measurement and simulation units. Taking example for transient stability prediction, this paper establishes a data mining flow. The data market of transient stability is built up by all kinds of data sources. The data market is convenient for online analytical processing. At the same time, many model of data mining can be constructed based on the data market. We can acquire more knowledge of the power system transient stability. The IEEE 39-Bus test system is employed to demonstrate the validity of the proposed approach.
引用
收藏
页码：389 / 392
页数：4
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