Title :
Recognizing the Main Steam Temperature System using Genetic Programming with Automatically Defined Functions
Author :
Jiang, Yiheng ; Bai, Yan ; Zhu, Yaochun
Author_Institution :
North China Electr. Power Univ., Beijing
Abstract :
The main steam temperature system is one of the most important systems in the large-scale power plant, and it is difficult to recognize it accurately. A new method is put forward to recognize it, using genetic programming with automatically defined functions. The combined programming with C++ and Matlab is employed to make the recognizing of the MSTS quickly and precisely. The simulation results attest that recognizing the MSTS using GP-ADF is feasible.
Keywords :
genetic algorithms; power engineering computing; steam power stations; C++; Matlab; automatically defined functions; genetic programming; large-scale power plant; main steam temperature system; Automation; Genetic algorithms; Genetic programming; Large-scale systems; Mathematical model; Optimization methods; Power generation; Temperature; Testing; Turbines; Combined Programming with C++ and Matlab; Framework Recognize; Genetic Programming with Automatically Defined Functions; Main Steam Temperature System;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338663
