Study on Load Modeling of Thermal Power Unit Based on Wavelet Neural Networks

Author

Zhang, Jun ; Niu, Peifeng ; Guan, Xinping

Author_Institution

Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3028

Lastpage

3032

Abstract

Thermal power unit is a complex object with multi-variables. It is difficult to build its nonlinear mathematic model in all usual way. This paper presents a study method on load modeling of a thermal power unit by a kind of multi-input-multi-output continual WNN (wavelet neural networks) model. Both theory analysis and application results show that the learning accuracy and the generalization capability of this wavelet network are satisfying. WNN can approach the model of a thermal power unit very well

Keywords

generalisation (artificial intelligence); learning (artificial intelligence); neural nets; power engineering computing; thermal power stations; wavelet transforms; load modeling; nonlinear mathematic model; process modeling; thermal power unit; wavelet analysis; wavelet neural networks; Automation; Electronic mail; Intelligent control; Load modeling; Mathematical model; Mathematics; Neural networks; Thermal loading; Wavelet analysis; load model; neural network; process modeling; thermal power unit; wavelet analysis; wavelet neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712922

Filename

1712922