• DocumentCode
    2907716
  • Title

    Differential evolutionary algorithms in optimal distributed generation location

  • Author

    Bulac, C. ; Ionescu, F. ; Roscia, M.

  • Author_Institution
    Dept. of Power Syst., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper present an application of Differential Evolutionary Algorithm (DEA) with the purpose of finding the optimal location of a renewable source in a electric power network. In addition, the paper considers also the problem of optimal reactive power dispatch (ORPD), minimizing the active power loss and improving the voltage level. The DEA is used as an optimization technique being highly efficient in constrained parameter optimization problems. The applicability of the method was evaluated on the IEEE 30 bus system. It is important where to place a renewable source, because study shows that if they are connected at non-optimal locations, the system losses may increase.
  • Keywords
    distributed power generation; evolutionary computation; power generation dispatch; reactive power; DEA; IEEE 30 bus system; ORPD problem; active power loss; constrained parameter optimization problems; differential evolutionary algorithms; electric power network; optimal distributed generation location; optimal reactive power dispatch problem; renewable source; system losses; Distributed power generation; Evolutionary computation; Load flow; Optimization; Programming; Reactive power; Differential Evolutionary Algorithm; Minimizing the Active Power Loss; Optimal Reactive Power Dispatch; Renewable source;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on
  • Conference_Location
    Bergamo
  • Print_ISBN
    978-1-4244-7244-4
  • Electronic_ISBN
    978-1-4244-7245-1
  • Type

    conf

  • DOI
    10.1109/ICHQP.2010.5625451
  • Filename
    5625451