Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control

نویسندگان

چکیده

The current flexibility of the energy market requires operating steam turbines that have challenging operation requirements such as variable conditions and higher number startups. This article proposes an advanced control system based on Nonlinear Model Predictive Control (NMPC) technique, which allows to speed up start-up increase produced while maintaining rotor stress a constraint variable. A soft sensor for online calculation is presented together with turbine logic. Then, we present how computational cost controller was contained by reducing order formulation optimization problem, adjusting scheduling optimizer routine, tuning parameters itself. performance has been compared respect PI Controller architecture fed results standard pre-calculated curves. evaluated in simulation exploiting actual data from Concentrated Solar Power Plant. NMPC technique shows performance, custom application, encouraging results.

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ژورنال

عنوان ژورنال: Energies

سال: 2021

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en14133998