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
Link To Document :
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