Model based simulation application – coal power plant
By M Simon, S Tangwe and E Meyer, Fort Hare Institute of Technology
Published in the October 2014 issue of Electricity+Control (pages 26 – 30)
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Modelling and simulation to forecast the true dynamics of the behaviour of a coal thermal power plant is crucial. The building and development of accurate models to predict the generated and sent out power of a Benson coal power plant in correlation to the input parameters (air heater temperature, main stream super-heater temperature, high pressure heater temperature, cold and hot well condenser pressure, mass of coal burnt and temperature and auxiliary power) are of paramount importance in achieving the objective of this study. Furthermore the derived mathematical models were embedded in the mathematical blocks in the Simulink environment and were imported from the Simulink library.
The multiple linear regression models of the generated and sent out power were embedded in the mathematical blocks which were later masked and converted to a single mathematical block using the ‘create sub-system command’ contained in the Simulink. This sub-system embodied the mathematical models was coupled to the input parameters (source blocks were used for the input parameters and each source was a sequence interpolated block exported from the Simulink library) and the desired outputs (sink blocks were used for the outputs and each sink was a scope block). The simulation application is more user friendly than the graphical user interface and is easy to simulate. By using the simulation application, we can predict the response(s) of the plant with a significant confidence which can lead to proper control and optimisation of the real power plant.
- A simulation application was designed and built into the Simulink environment to compute generated and sent out power profiles of Eskom’s Benson coal power plant in correlation to the input parameters.
- Modelling and simulation to forecast the true dynamics of the behaviour of a coal thermal power plant are crucial.
- By using the simulation application plant responses can be predicted with confidence.