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http://dx.doi.org/10.9709/JKSS.2020.29.3.009

Development of Thermal Power Boiler System Simulator Using Neural Network Algorithm  

Lee, Jung Hoon (GyeongSang National University ERI, Control & Instrument Engineering)
Publication Information
Journal of the Korea Society for Simulation / v.29, no.3, 2020 , pp. 9-18 More about this Journal
Abstract
The development of a large-scale thermal power plant control simulator consists of water/steam systems, air/combustion systems, pulverizer systems and turbine/generator systems. Modeling is possible for all systems except mechanical turbines/generators. Currently, there have been attempts to develop neural network simulators for some systems of a boiler, but the development of simulator for the whole system has never been completed. In particular, autoTuning, one of the key technology developments of all power generation companies, is a technology that can be achieved only when modeling for all systems with high accuracy is completed. The simulation results show accuracy of 95 to 99% or more of the actual boiler system, so if the field PID controller is fitted to this simulator, it will be available for fault diagnosis or auto-tuning.
Keywords
Thermal Power Plant; Artificial Neural Network; Boiler Systems; Matlab Simulator;
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