A dynamic nonlinear model for a real HRSG Boiler based on input-output data

In this study, a dynamic nonlinear model for a drum-HRSG boileris presented. The applied data are obtained from a real combined cycle power plant 'Neka' located in the north of Iran. Thesystem is divided into 2 MISO subsystems of ‘HP’ and ‘LP’ drum, and each subsystem is identifiedby a RBF network having NARX structure. Results indicate a successful model exploitablein model-based controller designs, a model for the use of operators to learn HRSG function and also as an acceptable predictor to follow up the drum-boiler behavior

کلیدواژه ها:

Heat recovery steam engine ، Identification ، Neural Network ، Radial basis function ، HP drum ، LP drum