Load Distribution of Thermal Power Plant Based on Adaptive Genetic Algorithm

Author

Xin, Meng ; Junru, Gao ; Lei, Li

Author_Institution

Hebei Univ. of Eng., Handan, China

Volume

2

fYear

2009

fDate

25-27 Dec. 2009

Firstpage

15

Lastpage

18

Abstract

Power plant is a huge industry to consume the resources. The annual coal consumption is more than half of the country´s consumption. It is very considerable to achieve a reasonable distribution of the load and the application of science and the prospects for economic dispatch in the power plant. In this paper, the writer established the mathematical model of load to optimize the distribution of thermal power unit and fitted coal consumption curve by using MATLAB program. The writer wrote a program of adaptive genetic algorithm by MATLAB and got results. Comparing the results with the basic genetic algorithm, the writer got the optimum program and verified the superiority of adaptive genetic algorithm in the load distribution of Power Systems.

Keywords

coal; genetic algorithms; power generation dispatch; steam power stations; MATLAB program; adaptive genetic algorithm; annual coal consumption; economic dispatch; optimum program; resource consumption; thermal power plant load distribution; Application software; Fuel economy; Genetic algorithms; MATLAB; Mathematical model; Optimization methods; Power generation; Power generation economics; Thermal loading; Thermal management; Adaptive Genetic Algorithm; Coal Consumption Curve; Load Distribution; Power Plant;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on

Conference_Location

Chongqing

Print_ISBN

978-0-7695-3930-0

Electronic_ISBN

978-1-4244-5423-5

Type

conf

DOI

10.1109/IFCSTA.2009.126

Filename

5385016