• 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