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Design of a supervisory predictive controller and its application to thermal power plants
Author(s) -
Sáez Doris,
Ordys Andrzej,
Grimble Michael
Publication year - 2005
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.757
Subject(s) - control theory (sociology) , predictive power , model predictive control , thermal power station , supervisory control , control engineering , thermal , controller (irrigation) , power (physics) , engineering , computer science , physics , electrical engineering , control (management) , artificial intelligence , thermodynamics , agronomy , quantum mechanics , biology
Abstract The optimization at supervisory level of thermal power plant controls is investigated. The design of a predictive supervisory controller that optimizes an objective function in order to determine the set‐points for a given regulatory level is described. The objective function includes both an economic criterion and a regulatory criterion. The proposed supervisory controller is applied to the gas turbine of a thermal power plant and it is compared with the control strategy for constant optimum set‐points. Copyright © 2005 John Wiley & Sons, Ltd.