A study on conditions analysis of power plant based on data mining

Author

Liu BaoLing ; He Jun ; Liu Guangming

Author_Institution

Dept. of Electr. & Electron. Eng., Nanchang Inst. of Technol., Nanchang, China

Volume

3

fYear

2010

fDate

6-7 March 2010

Firstpage

161

Lastpage

165

Abstract

At present the target value of operating tends to be the design value , but in fact the optimal value is different in various operation condition. This paper explores a way of working conditions analysis based on improved k-means and the massive data in the DCS and SIS, to carry out security and economic analysis for guiding the operators. The experiment results illustrate that the way can identify and analysis the working conditions very well.

Keywords

data mining; distributed control; information systems; power engineering computing; power generation economics; power plants; power system security; conditions analysis; data mining; distributed control system; economic analysis; k-means; power plant; security; supervisory information system; Automatic control; Clustering algorithms; Data engineering; Data mining; Design engineering; Distributed control; Employee welfare; Optimal control; Power generation; Robotics and automation; conditions analysis; data mining; improved kmeans; supervisory information system (SIS);

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on

Conference_Location

Wuhan

ISSN

1948-3414

Print_ISBN

978-1-4244-5192-0

Electronic_ISBN

1948-3414

Type

conf

DOI

10.1109/CAR.2010.5456654

Filename

5456654