Title :
The research and application of data mining in power plant operation optimization
Author :
Li, Jian-qiang ; Liu, Ji-zhen ; Niu, Cheng-Lin ; Zhang, Luan-Ying
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
As the development of electric industry, more and more real-time data are sent to database by DAS and DCS and large amounts of data are accumulated. Abundantly valuable knowledge exists in the history data and it is hard to find and summarize them in traditional way. This paper proposes the operation optimization based on data mining in power plant. The basic structure of the operation optimization based on data mining is established and the fuzzy association rule mining is introduced to find the optimization target value from quantitative values of the equipments in power plant industry process. Based on the history data of a 300MW unit, the optimal values of the operating parameters are found out by data mining techniques. The optimal values are provided to the operators to guide the operation online and the excellent performance is achieved in the power plant.
Keywords :
data mining; fuzzy control; fuzzy logic; fuzzy systems; power plants; power station control; 300 MW; DAS; DCS; data mining; database; electric industry; fuzzy association rules; operating parameter; optimal values; power plant operation optimization; real-time data; Association rules; Chemical industry; Data mining; Databases; Distributed control; History; Industrial control; Machine learning; Mining industry; Power generation; Data mining; fuzzy association rules; operation optimization; optimization value;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527208
