Title :
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
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);
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456654
