Long range predictive control for nonlinear Boiler-Turbine dynamics
Publish place: 11th Iranian Student Conference on Electrical Engieering
Publish Year: 1387
Type: Conference paper
Language: English
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Document National Code:
ISCEE11_149
Index date: 5 March 2008
Long range predictive control for nonlinear Boiler-Turbine dynamics abstract
Electric power companies pay attention to the load following capability and economical operation of a thermal power plant. However, conventional PID controllers embedded in DCSs cannot always provide the optimum solution for such subjects. To cope with these problems, we discuss a model predictive control system. Prior to study of the advanced control system, we develop a nonlinear system model considering the characteristics of power plant dynamics. This article applying feedback linearization technique to model predictive control of superheater steam pressure and power output of a boiler-turbine generation unit. The simulation results show the improvement can be achieved in control with predictive control system, and these improvements in control can be maintained for large changes in operating conditions.
Long range predictive control for nonlinear Boiler-Turbine dynamics Keywords:
operating conditions. Keywords: Boiler-Turbine , Model Predictive Control (MPC) , feedback linearization , nonlinearity
Long range predictive control for nonlinear Boiler-Turbine dynamics authors
Kaveh Hoshmandi
shahid Abbaspour University of Technology, Tehran, Iran
Mohsen Montazeri
shahid Abbaspour University of Technology, Tehran, Iran
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