This paper presents the application of MINLP (mixed-integer nonlinear programming)
approach for scheduling of a CHP (combined heat and power) plant in the day-ahead …

Due to their numerous advantages, combined cycle power plants (CCPPs) have become an
important technology for power generation. The part played by CCPPs on the power …

With the widespread availability of model predictive control (MPC), nonlinear MPC provides
a natural extension to include nonlinear models for trajectory tracking and dynamic …

Flexible natural gas combined cycles will play a fundamental role in future electric markets.
Stresses in thick-walled components and gas turbine load ramps are arguably the main …

In this paper, two different advanced control approaches for a pressurized solid oxide fuel
cell (SOFC) hybrid system are investigated and compared against traditional proportional …

A nonlinear model predictive control (NMPC) scheme is applied to a 166 MW a heavy-duty
gas turbine power plant for frequency and temperature control. This scheme is compared to …

This paper presents a model predictive controller (MPC) operating a solid oxide fuel cell
(SOFC) gas turbine hybrid plant at end-of-life performance condition. Its performance was …

Real-time (RT) modeling is a recognized approach to monitor advanced systems and to
improve control capabilities. Applications of RT models are commonly used in the …

The current flexibility of the energy market requires operating steam turbines that have
challenging operation requirements such as variable steam conditions and higher number …

The paper proposes a Nonlinear Model Predictive Control strategy for the control of steam
turbines rotor thermal stresses, which exploits the approximation of the turbine rotor as an …