• DocumentCode
    690645
  • Title

    The value of using chance-constrained optimal power flows for generation re-dispatch under uncertainty with detailed security constraints

  • Author

    Hamon, Catherine ; Perninge, Magnus ; Soder, Lennart

  • Author_Institution
    Electr. Power Syst., R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The uncertainty faced in the operation of power systems increases as larger amounts of intermittent sources, such as wind and solar power, are being installed. Traditionally, an optimal generation re-dispatch is obtained by solving security-constrained optimal power flows (SCOPF). The resulting system operation is then optimal for given values of the uncertain parameters. New methods have been developed to consider the uncertainty directly in the generation re-dispatch optimization problem. Chance-constrained optimal power flows (CCOPF) are such methods. In this paper, SCOPF and CCOPF are compared and the benefits of using CCOPF for power systems operation under uncertainty are discussed. The discussion is illustrated by a case study in the IEEE 39 bus system, in which the generation re-dispatch obtained by CCOPF is shown to always be cheaper than that obtained by SCOPF.
  • Keywords
    load flow; optimisation; power generation dispatch; IEEE 39 bus system; chance-constrained optimal power flows; detailed security constraints; generation re-dispatch optimization problem; intermittent sources; optimal generation re-dispatch; power systems operation; security-constrained optimal power flows; solar power; system operation; uncertain parameters; wind power; Approximation methods; Generators; Probabilistic logic; Probability distribution; Production; Uncertainty; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837148
  • Filename
    6837148