DocumentCode :
619816
Title :
Application of the steepest descent approximate linear programming on cyclic cleaning scheduling of boiler
Author :
Liu Pingping ; Ma Xin ; Gao Dong ; Zhang Beike
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
869
Lastpage :
874
Abstract :
Traditional approximate linear programming may exclude the optimal solution out of the boundary condition, which is caused by the subjective choices of initial feasible point, step restriction and reduction coefficient. In this paper, a method called steepest descent-approximate linear programming is presented which redefines the judgment conditions and the way of boundary adjustment based on the purposeful search and rapid convergence from steepest descent method, where the boundary directions are adjusted together by the nonlinear constraint satisfaction degree and the current objective function. Besides absorbing the original advantages of easy implementation and convenient solution from traditional approximate linear programming, the new method can not only eliminate the negative impact which is caused by subjective choices of step restriction and reduction coefficient, but also solve a nonlinear programming problem which only contains linear constraints. The method has been applied in a real thermal power plant, for which a mathematical model for the solution of the cyclic cleaning scheduling problem of boiler system with decaying performance is built and optimized. Moreover, the usefulness of the method shows it achieves remarkable energy saving compared with the original approaches.
Keywords :
approximation theory; boilers; energy conservation; linear programming; nonlinear programming; power system management; scheduling; thermal power stations; boiler; boundary adjustment; boundary condition; cyclic cleaning scheduling; energy saving; nonlinear constraint satisfaction degree; objective function; reduction coefficient; steepest descent approximate linear programming method; steepest descent method; step restriction; thermal power plant; Boilers; Boundary conditions; Cleaning; Linear programming; Programming; Redundancy; Vectors; Cyclic Cleaning Scheduling of Boiler; Nonlinear Programming; Steepest Descent Approximate Linear Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561045
Filename :
6561045
Link To Document :
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