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《Power System Engineering》 2003-02
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Use of Data Mining Techniques in Process Control and Optimization of Thermal Power Plant

LU Yong, XU Xiang-dong  
The scale of plant data collected in real-time database by DAS and DCS system in power plant is becoming larger and larger. There are abundant and valuable knowledge hidden behind these data. However, the knowledge discovered from these data through artificial analysis is impractical, hence a method utilizes the data mining technology to serve as a facility for process control and optimization of a power plant is proposed. The basic concept and knowledge of data mining is explained at first, then the application of data mining in two aspects, i.e. dynamic process control and supervisory steady state optimization, which are the most important issue of automatic operation of thermal power equipment is expounded. Finally, a system, which integrated the control and optimization module with the knowledge and rule-base obtained from operation database by data mining method, is proposed.
【Key Words】: data mining knowledge discovery in database multi-model adaptive control steady state optimization
【CateGory Index】: TM621.6
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