Development of Simulation Software for Coal-Fired Power Units Based on Matlab/Simulink
Modelling and simulation is an important method in the study and design of power units. Because of the complexity of coal-fired power units, it is necessary to develop a kind of simulation software which can reflect the dynamic characteristic comprehensively. Generally, the professional simulation software of coal-fired power unit such as simulator made by professional company is very expensive and complex. In recent years, Matlab/Simulink has been applied to many research fields successfully, such as control, communication, modelling etc. In this paper, a simulation algorithm library of boiler system was built on Matlab/Simulink. The algorithm was developed with CMEX S-function, mask interface, MS-Function, Memory block, masked block and so on. Simulation model of a 1025t/h boiler system was constructed by the organic combination of algorithm in library. It is shown by simulation results that the algorithm library is comprehensive and universal; the dynamic characteristic of coal-fired power unit model is consistent with objects. The model can easily be applied to study control systems of power units because of the advantage of Matlab/Simulink.
KeywordsPower Unit Steam Flow Boiler System Steam Bubble Reheat Steam
Unable to display preview. Download preview PDF.
- 2.Astrom, K.J., Bell, R.D., Bell.: Dynamic Models for Boiler-Turbine-Alternator Units: Data Logs and Parameter Estimation for a 160 MW Units. Dep. Automatic Contr. Lund Institute Technol., Lund. Sweden, Rep. pp. 131–137 (1987)Google Scholar
- 3.Pellegrinetti, G., Bentsman, J.: Nonlinear Control Oriented Boiler Modelling-A Benchmark Problem for Controller Design. IEEE Trans. Control Syst. Technol. 4(1) (1996)Google Scholar
- 4.Liu, C.L.: The Research and Application of Dynamic Model of Thrmal Process in Lager Scale Power Unit.Biao Ding: The doctoral dissertation of North China Electric Power University (2001)Google Scholar
- 6.McCain, T.M.: Matlab as a Development Environment for FPGA Design. 607–610 (2005)Google Scholar