DocumentCode
3317255
Title
Analysis of Operation Optimization of Gas Pipelines Based on Adaptive Genetic Algorithm
Author
Li, Changjun ; Jia, Wenlong ; Yang, Yi ; Wu, Xia
Author_Institution
Sch. of Pet. Eng., Southwest Pet. Univ., Chengdu, China
fYear
2010
fDate
23-25 July 2010
Firstpage
1
Lastpage
6
Abstract
A variety of processes are utilized for gas transmission. It is important to optimize the operation conditions of these processes to promote efficiency. The operation efficiency of pipeline systems is combined with the purchase and sale prices of gas, the quantity bought and sold of gas and the management costs. Aimed at the maximum operation efficiency, an operation optimization model of gas pipelines is established with consideration of quantity input (output) constraints of each node, operation pressure constraints of pipelines, compressor constraints, valve constraints and hydraulic constraints of the pipeline system. The model adapts to all kinds of pipeline structures and it is solved by the method of adaptive genetic algorithm because of its non-linear form. Based on this, a computer program is developed to optimize the operation conditions of gas trunk lines, gas gathering and distribution network. Finally, an application example is given.
Keywords
genetic algorithms; pipelines; production management; adaptive genetic algorithm; compressor constraints; distribution network; gas gathering; gas pipelines; gas trunk lines; hydraulic constraints; maximum operation efficiency; operation optimization; operation pressure constraints; quantity input constraints; valve constraints; Algorithm design and analysis; Application software; Computer networks; Constraint optimization; Costs; Distributed computing; Genetic algorithms; Marketing and sales; Pipelines; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location
Ternopil
Print_ISBN
978-1-4244-6972-7
Electronic_ISBN
978-1-4244-6974-1
Type
conf
DOI
10.1109/IEEC.2010.5533276
Filename
5533276
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