Zone economic model predictive control of a coal-fired boiler-turbine generating system

•An optimal control scheme with zone tracking for coal-fired boiler-turbine systems.•A detailed economics-oriented control problem formulation and implementation.•Extensive simulations comparing the proposed design and conventional control. In this work, a zone economic model predictive controller i...

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Bibliographic Details
Published inChemical engineering research & design Vol. 153; pp. 246 - 256
Main Authors Zhang, Yi, Decardi-Nelson, Benjamin, Liu, Jianbang, Shen, Jiong, Liu, Jinfeng
Format Journal Article
LanguageEnglish
Published Rugby Elsevier B.V 01.01.2020
Elsevier Science Ltd
Subjects
Boilers
Computer simulation
Constraint modelling
Control systems
Controllers
Economic analysis
Economic models
Electric power generation
Moving horizon estimation
Nonlinear systems
Optimal control
Performance indices
Power plant
Predictive control
Tracking control
Turbines
Power plant
Nonlinear systems
Moving horizon estimation
Optimal control
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Summary:•An optimal control scheme with zone tracking for coal-fired boiler-turbine systems.•A detailed economics-oriented control problem formulation and implementation.•Extensive simulations comparing the proposed design and conventional control. In this work, a zone economic model predictive controller is proposed for the operation of a boiler-turbine generating system. The control objective is to optimize the operating economics while satisfying the power generation demand from the grid. First, the considered boiler-turbine system is introduced and the economic performance indices are formulated. Then, a moving horizon estimator (MHE) is designed to provide state estimates for the controller in virtue of its ability in dealing with nonlinearities and constraints. Subsequently, an economic model predictive control (EMPC) design integrated with a zone tracking objective is proposed for the boiler-turbine generating system. Extensive simulations under different scenarios illustrate the effectiveness of the proposed EMPC design compared with the conventional set-point tracking model predictive control.
ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2019.10.027