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Application of fuzzy models in thermal power control systems is considered.
Finally, this newly-built MLP-based MPC is applied to the thermal power control of a Su-NSSS, whose implementation is given by forming a cascaded feedback control loop with the currently existing Su-NSSS power-level control in the inner loop for stabilization and with this new MPC in the outer loop for optimization.
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The purpose of this study is to analyze comparatively the performance of nine thermal power plants under control governmental bodies in Turkey, from energetic and exergetic viewpoint.
Results show that both the adopted control strategies can assure an efficient control of the thermal power while guaranteeing an effective control of lead and steam temperatures as well.
The mechanism, thermal management, and the power control electronics of the LED streetlight become very simple.
During the past decades, Markov jump linear systems (MJLSs) have been received extensive interests in many engineering fields, such as energy system, solar thermal power generation system, networked control system, manufacturing system, financial market system [1, 2].
Moreover, the larger amount of the steam stored in steam chest and reheater of thermal power plant delays the control valve motion to increase the mechanical power output after the load perturbation.
Finally, an additional simplified control is introduced, showing that it can effectively reduce thermal power consumption compared to conventional control strategies.
It is generally accepted that CO2 emissions from point sources – such as thermal power plants – can be controlled by gas-liquid absorption where the process is intensified significantly by introducing a reactant into solvent.
For most of the time, the thermal power plant is under the coordinated control mode, and the principle and strategy of the two coordinated control are analyzed, and the engineering realization scheme is given.
This paper proposes a novel method of performance assessment for load control system of thermal power unit.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com