Modeling of Boiler Steam System in a Thermal Power Plant Based on Generalized Regression Neural Network
Keywords:
Generalized regression neural network (GRNN), Modeling, Validation, Drum, Superheater, Reheater, AttemperatorAbstract
In thermal power plants, boiler models have been used widely in evaluating logic configurations, performing system tuning, applying control theory, etc. Furthermore, proper plant models are needed to design accurate controllers. Sometimes, mathematical models can not exactly describe a power plant due to time-varying, nonlinearity, uncertainties, and complexity of the thermal power plants. In this case, a neural network can be a useful method to estimate such systems. In this paper, the models of boiler steam systems in a thermal power plant are developed by using a generalized regression neural network (GRNN). The models of the superheater, reheater, attemperator, and drum are designed by using GRNN, the models are trained and validated with the real data obtained in a 540 MW power plant. The validation results showed that the proposed models agree with the actual outputs of the drum boiler well.
References
Halauca C, and Lazar C. 2009 European Control Conference (ECC), August 23–26, 2009: Dynamic Simulation Model for a Steam Drum Boiler System. 2009, Computer and Automation Research Institute of the Hungarian Academy of Science, Budapest, 3480–3485. https://doi.org/10.23919/ECC.2009.7074938
Smrekar J, Pandit D, Fast M, et al., 2010, Prediction of Power Output of a Coal-Fired Power Plant by Artificial Neural Network. Neural Computing and Applications, 19: 725–740. https://doi.org/10.1007/s00521-009-0331-6
Oko E, Wang M, Zhang J, 2015, Neural Network Approach for Predicting Drum Pressure and Level in Coal-Fired Subcritical Power Plant. Fuel, 151: 139–145. https://doi.org/10.1016/j.fuel.2015.01.091
Selvi BST, Kalpana D, Thyagarajan T. 2017 Trends in Industrial Measurement and Automation (TIMA), January 6–8, 2017: Modeling and Prediction of Boiler Drum in a Thermal Power Plant. 2017, Chennai, 1–6. https://doi.org/10.1109/TIMA.2017.8064820
Li Y, Tian Y, Chen W. 2011 International Conference on Electronics, Communications and Control (ICECC), September 9–11, 2011: sEMG Pattern Recognition Based on GRNN and Adaboost. 2011, Ningbo, 1661–1664. https://doi.org/10.1109/ICECC.2011.6066678
Iacob M, Andreescu G-D. 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), October 5–7, 2011: Drum-Boiler Control System Employing Shrink and Swell Effect Remission in Thermal Power Plants. 2011, Budapest, 1–8.
Chakraborty SK, Manna N, Dey S, 2014, Importance of Three-Elements Boiler Drum Level Control and Its Installation in Power Plant. International Journal of Instrumentation and Control System, 4(2): 1–12. https://doi.org/10.5121/ijics.2014.4201
