• DocumentCode
    3678167
  • Title

    Network flow optimization by Genetic Algorithm and load flow analysis by Newton Raphson method in power system

  • Author

    Md Razuan Hossain;M. Shamim Kaiser;Fahmid Iftekher Ali;Md Monjurul Alam Rizvi

  • Author_Institution
    Department of Electrical Electronic and Communication Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Optimal Power Flow (OPF) problem seeks to find the optimal operation of a electric power system that reduces a cost function of generation of active power that meets the total demand subject to some constraints. In this work, an attempt has been made to solve network flow optimization problem using Genetic Algorithm (GA) and load flow analysis by Newton Raphson method for a IEEE 9 bus system. The numerical analysis has been done in Matlab and results showed that the proposed approach has been used to find the optimal operating point of the power system network.
  • Keywords
    "Biological cells","Accuracy","Cooperative systems"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEEICT.2015.7307388
  • Filename
    7307388