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
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;
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
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776653
