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Research on Model Method Based on Data for the Complex Thermal System

Author: LiuGang
Tutor: FuZhongGuang
School: North China Electric Power University (Beijing)
Course: Thermal Power Engineering
Keywords: Complex Thermal System Data model PLS LS-SVM PSO
CLC: TM621.4
Type: Master's thesis
Year: 2009
Downloads: 85
Quote: 0
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Abstract


In this paper,the founditon of model in complex thermal system was the main line, the partial least-squares regression and support vector machines regression method which based on data-driven model were studied,an improved method on gross error detection and correction was put forward;Aimed at the problems occurred in the operation of Power generating units,separately found the main steam flow on-line prediction model based on PLS regression and the mid-point temperature prediction model based on LS-SVM.To resolve the disadvantages of parameter selection method based on grid search,particle swarm optimization algorithm was presented to select the parameters.The simulation results indicated that:the PLS method can deal with the problem of multiplicity effectively,but weakly deal with the problem of strong non-linear,and the PSO-LS-SVM method can solve the model of non-linear,and faster Fast,high-precision.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Thermal systems,thermal network
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