• DocumentCode
    1837680
  • Title

    Bacterial Foraging Algorithm for security constrained optimal power flow

  • Author

    Vahedi, H. ; Hosseini, S.H. ; Noroozian, R.

  • Author_Institution
    Dept. of Electr. Eng., Zanjan Univ., Zanjan, Iran
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper proposes a novel Bacterial Foraging Algorithm (BFA) for solving optimal power flow (OPF) problems with considering transmission security for practical application. The objective of OPF is to minimize total generation cost, enhance transmission security, reduce transmission loss and improve the bus voltage profile under normal or contingent states. Moreover, the valve-point loading effect of thermal units should be taken into consideration. The effectiveness of the proposed method is demonstrated for a 26-bus and the IEEE 30-bus systems, and it is compared with the PSO-RO algorithm in terms of solution quality and evolutionary computing efficiency.
  • Keywords
    load flow; particle swarm optimisation; power system security; 26-bus systems; 30-bus systems; bacterial foraging algorithm; bus voltage profile; optimal power flow; thermal units; transmission security; valve-point loading effect; Artificial neural networks; Bismuth; Inductors; Radiation detectors; Tin; bacterial foraging algorithm; optimal power flow; optimization methods; security-constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Market (EEM), 2010 7th International Conference on the European
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4244-6838-6
  • Type

    conf

  • DOI
    10.1109/EEM.2010.5558709
  • Filename
    5558709