Applications of data mining technique for power system transient stability prediction

Author

Tao, Xu ; Renmu, He ; Peng, Wang ; Dongjie, Xu

Author_Institution

Dept. of Electr. Power Eng., North China Electr. Power Univ., Beijing, China

Volume

1

fYear

2004

fDate

5-8 April 2004

Firstpage

389

Abstract

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.

Keywords

data mining; power engineering computing; power markets; power system transient stability; support vector machines; IEEE 39-Bus test system; data market; data mining technique; online analytical processing; power system transient stability prediction; Data mining; Engines; Power measurement; Power system measurements; Power system modeling; Power system simulation; Power system stability; Power system transients; Predictive models; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8237-4

Type

conf

DOI

10.1109/DRPT.2004.1338527

Filename

1338527