Real-coding genetic algorithm-based model identification for bed temperature of 300MW CFB boiler

Author

Hou, Guolian ; Zhang, Yuanyuan ; Zhang, Jianhua

Author_Institution

Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China

fYear

2011

fDate

23-25 May 2011

Firstpage

2019

Lastpage

2025

Abstract

This paper proposed that an improved genetic algorithm based on real-coding, multi-operators cooperation and rank-based selection of crossover and mutation probability. This algorithm has better ability to search the global optimum result, and applies to identify the model of 300MW circulating fluidized bed boiler in order to acquire the accurate transfer function. This study is conducted to highlight the model of bed temperature and its effect factors.

Keywords

boilers; encoding; fluidised beds; genetic algorithms; identification; power generation control; probability; transfer functions; CFB boiler; fluidized bed boiler; fluidized bed temperature; multioperators cooperation; mutation probability; power 300 MW; rank based selection; real coding genetic algorithm based model identification; transfer function; Boilers; Coal; Feeds; Furnaces; Genetic algorithms; Temperature; Transfer functions; 300MW CFB boiler; Real-coding genetic algorithm; bed temperature; transfer function;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968534

Filename

5968534