• DocumentCode
    694916
  • Title

    Active load and loss allocation in transmission line with line outage condition via Cuckoo search optimization technique

  • Author

    Rahman, Nur Atiqah Abdul ; Rahman, Titik Khawa Abdul ; Zakaria, Z.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA Shah Alam, Shah Alam, Malaysia
  • fYear
    2013
  • fDate
    16-17 Dec. 2013
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    The introduction of deregulation in transmission system has give the opportunity for the end user to choose the supplier which lead to the importance of active load and loss allocation in transmission line. Due to the nonlinear character of power flow, it is crucial to allocate the losses and active load. Thus, this paper will propose a technique to allocate both active load and losses in transmission line via Cuckoo Search (CS) Optimization Technique. Cuckoo Search is a very simple technique that did not entail complex mathematical procedure but gives a better performance in terms of accuracy and computational time. The active load and transmission loss will be treated as an optimization problem. In this paper, IEEE-30 bus system is used as test system and a comparative study is conducted with Genetic Algorithm technique. In addition, the proposed method is also tested in line outage condition.
  • Keywords
    genetic algorithms; load flow; power transmission lines; search problems; Cuckoo search optimization technique; IEEE-30 bus system; active load and loss allocation; genetic algorithm technique; line outage condition; power flow; transmission line; Generators; Linear programming; Load flow; Optimization; Power transmission lines; Propagation losses; Resource management; Active load allocation; Cuckoo Search; Transmission Loss Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development (SCOReD), 2013 IEEE Student Conference on
  • Conference_Location
    Putrajaya
  • Type

    conf

  • DOI
    10.1109/SCOReD.2013.7002555
  • Filename
    7002555