Title of article :
OPTIMIZING A TYPICAL BIOMASS FUELED POWER PLANT USING GENETIC ALGORITHM AND BINARY PARTICLE SWARM OPTIMIZATION
Author/Authors :
Sedighizadeh، Mostafa نويسنده Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran , , Rafiei، Mojtaba نويسنده Alborz Province Power Distribution Company, Karaj, Iran , , Hakimi، Arshia نويسنده Design Department, Gital Company, Saveh, Iran ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
7
From page :
15
To page :
21
Abstract :
Over thousands tons of animal manures are produced in Iran. The major animal manures producers are located in central regions. Animal manures collection is an autochthonous and important renewable energy sources that in most cases are released in nature by ranchers. In this paper, a typical animal manure producer region (Taleghan) in Iran is considered and optimal location and size of a typical biomass fueled power plant is determined. Genetic algorithm (GA) and Binary particle swarm optimization algorithms are used as the major approaches of determination and effectively these approaches will make possible to determine the optimal location, biomass supply area and power plant size that offer the best profitability for investor.
Journal title :
International Journal on Technical and Physical Problems of Engineering (IJTPE)
Serial Year :
2013
Journal title :
International Journal on Technical and Physical Problems of Engineering (IJTPE)
Record number :
843995
Link To Document :
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