Long range predictive control for nonlinear Boiler-Turbine dynamics

Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ISCEE11_149

تاریخ نمایه سازی: 15 اسفند 1386

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.

Keywords:

operating conditions. Keywords: Boiler-Turbine , Model Predictive Control (MPC) , feedback linearization , nonlinearity

Authors

Kaveh Hoshmandi

shahid Abbaspour University of Technology, Tehran, Iran

Mohsen Montazeri

shahid Abbaspour University of Technology, Tehran, Iran

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