DocumentCode
2641303
Title
Industrial application of a model predictive control solution for power plant startups
Author
Amato, Fernando Javier D
Author_Institution
Automation and Controls Laboratory, General Electric Global Research, 1 Research Circle, Niskayuna, NY 12309 USA
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
243
Lastpage
248
Abstract
This paper reports on the development and a successful MPC implementation for startups of combined-cycle plants. Minimizing startup times is important for energy utility companies to reduce operating costs due to lower fuel consumption and lower emissions. The new controller regulates the gas turbine loads while keeping the main operating constraints (steam turbine stresses) within their allowable ranges.
Keywords
Constraint optimization; Costs; Fuels; Industrial control; Power generation; Power generation economics; Predictive control; Predictive models; Stress control; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location
Munich, Germany
Print_ISBN
0-7803-9797-5
Electronic_ISBN
0-7803-9797-5
Type
conf
DOI
10.1109/CACSD-CCA-ISIC.2006.4776653
Filename
4776653
Link To Document