Title :
Integrated nonlinear model of 300 MW power unit for system dynamic performance studies
Author :
Liu, Chang-Liang ; Wei-Ping Liang ; Ma, Jing-Yi ; Ma, Ge-Feng
Author_Institution :
Dept. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
A set of integrated nonlinear dynamic model of 300 MW power unit is set up in MATLAB/SIMULINK with modularization method. The inputs of the model are control signals with 0-1, and the outputs are process variables with engineering unit. To establish the model, the power unit is divided into many parts, the dynamic model of every part is set up and SIMULINK S-functions are designed. According to the characteristics of thermal process, a kind of improved genetic algorithm is introduced to identify the model parameters with operating data of power plant. It is shown by simulation results that the model can reflect the dynamic characteristics factually and can be used to test control system easily.
Keywords :
control engineering computing; genetic algorithms; mathematics computing; nonlinear control systems; power engineering computing; power system control; 300 MW; MATLAB; SIMULINK; genetic algorithm; integrated nonlinear model; power plant; power unit; thermal process; Genetic algorithms; MATLAB; Mathematical model; Nonlinear dynamical systems; Power engineering and energy; Power generation; Power system modeling; Signal processing; System testing; Thermal variables control;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380709
