• DocumentCode
    1676655
  • Title

    Transmission network expansion planning software-tools

  • Author

    Simo, A. ; Barbulescu, C. ; Kilyeni, St ; Stoian, A.

  • Author_Institution
    Power Syst. Dept., Politeh. Univ. Timisoara, Timisoara, Romania
  • fYear
    2015
  • Firstpage
    181
  • Lastpage
    186
  • Abstract
    The authors are proposing a software-tool for transmission network expansion planning (TNEP). The developed software-tool is able to be used in case of complex, large scale power systems. It uses a.c. complete power flow mathematical model. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods. Within this field, two methods have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA).
  • Keywords
    artificial intelligence; genetic algorithms; load flow; particle swarm optimisation; power engineering computing; power transmission planning; software tools; GA; PSO; ac complete power flow mathematical model; artificial intelligence methods; genetic algorithms; particle swarm optimization; power flow computing; software-tools development; transmission network expansion planning; Biological cells; Genetic algorithms; Load flow; Planning; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2015.7208195
  • Filename
    7208195