The flexible operation of combined cycle power plants (CCPPs) has recently become more and more important. Therefore an efficient, fast and highly predictable power plant start up is necessary. Model predictive control for power plant start up can be used to determine optimized setpoints for all relevant control variables (e.g. gas turbine load and steam turbine control valves) resulting in a fast plant startup while keeping all constraints. This paper presents the set up of a model predictive controller, its modeling particularities and solutions to the real time capability problem. The developed controller prototype was successfully tested online on a real plant. The measurement results, which are also presented in the paper, prove the large benefit of this technology within, the scope of power plant start up. Modeling details are not within the scope of this paper, which rather focuses on the overall controller setup and the online applicability.
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