• DocumentCode
    494989
  • Title

    Optimization of Networks Impedance Identification Based on Hybrid Genetic Algorithm

  • Author

    Liu, Yong-Xin ; Zou, Ping-Hua

  • Author_Institution
    Sch. of Municipal & Environ. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    Based on matrix equations of spatial heating networks hydraulic calculation method, impedance identification equation is proposed which can be transformed into optimization problem solved by hybrid genetic algorithm. Then, impedance identification results of different numbers of operational conditions are quantitative compared by evaluation function values, which can be used to obtain the optimal number of operational conditions when the number of pressure measurement nodes is fixed. For the actual pressure measurement data has error, they are replaced by hydraulic calculation numerical simulation results to obtain more accurate identification comparison results. The above optimal processes are verified in case study and can be applied to actual heating networks.
  • Keywords
    district heating; genetic algorithms; identification; matrix algebra; numerical analysis; pressure measurement; district heating networks; hybrid genetic algorithm; matrix equations; networks impedance identification optimisation; numerical simulation; pressure measurement nodes; spatial heating networks hydraulic calculation method; Computer networks; DH-HEMTs; Genetic algorithms; Heat engines; Heating; Impedance measurement; Nonlinear equations; Numerical simulation; Optimization methods; Pressure measurement; conditions optimization; hybrid genetic algorithm; impedance identification; numerical simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.240
  • Filename
    5168823