• DocumentCode
    3506325
  • Title

    Evolutive algorithm for power flow optimization

  • Author

    Fernández-Comesana, Pablo ; Doval-Gandoy, Jesus ; Freijedo, Francisco D. ; Lopez, Oscar ; Malvar, Jano ; Yepes, Alejandro G. ; Diaz-Dorado, Eloy ; Alvira-Baeza, David

  • Author_Institution
    Electron. Technol. Dept., Univ. of Vigo, Vigo, Spain
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    3323
  • Lastpage
    3328
  • Abstract
    The actual lines have many operation problems like power flow distribution, oscillations, etc. A bad power flow distribution on the network lines appears for example during a fault, in this case is possible that some lines of the network would be overloaded and other lines under their thermal value. A possible solution of the problem is using series compensators to redistribute the power flow, the converters are bypassed until the fault appears and after this, it start to compensate. Evolutive algorithms can solve the problem of the ubication in the network of these converters and to chose the power of it too, minimizing the total installed power to make that power flow redistribution. This paper presents an evolutive algorithm that solves the problem of placing SSSC converters in a network to optimize the power flow across all the lines of those network, minimizing the total installed power when a line of the network falls. The number of converters to be placed and their power will be chosen by the algorithm too.
  • Keywords
    evolutionary computation; load flow; static VAr compensators; evolutive algorithms; placing static synchronous compensator converter; power flow optimization; series compensators; Control systems; Costs; Flexible AC transmission systems; Impedance; Load flow; Logic programming; Power system transients; Power transmission lines; Reactive power control; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5415053
  • Filename
    5415053