• DocumentCode
    2595842
  • Title

    Unit commitment considering security-constrained optimal power flow by lagrangian relaxation with genetic algorithm

  • Author

    Poommalee, Weeraya ; Damrongkulkamjorn, Parnjit

  • Author_Institution
    Dept. of Electr. Eng., Kasetsart Univ., Bangkok
  • Volume
    2
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    893
  • Lastpage
    896
  • Abstract
    This paper presents unit commitment considering security-constrained optimal power flow (UC-SCOPF) by using Lagrangian relaxation with genetic algorithm (LRGA). The UC from LRGA is checked with optimal power flow (OPF) to ensure power transmission. Under normal operating state, UC may not satisfy system operating constraints in OPF and hence committed units must be adjusted to take into account those constraints. This paper also considers UC taken into account system contingency, which is called UC-SCOPF. The generation outputs for UC-SCOPF are the outputs at normal operating state that ensure the system security when contingency occurs.
  • Keywords
    genetic algorithms; load flow; power generation dispatch; power generation scheduling; power system security; Lagrangian relaxation; genetic algorithm; power transmission; security-constrained optimal power flow; system contingency; system security; unit commitment; Costs; Genetic algorithms; Genetic engineering; Lagrangian functions; Load flow; Power engineering and energy; Power system security; Power transmission; Power transmission lines; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
  • Conference_Location
    Krabi
  • Print_ISBN
    978-1-4244-2101-5
  • Electronic_ISBN
    978-1-4244-2102-2
  • Type

    conf

  • DOI
    10.1109/ECTICON.2008.4600574
  • Filename
    4600574