• DocumentCode
    135467
  • Title

    Optimal scheduling with dynamic line ratings and intermittent wind power

  • Author

    Banerjee, Biplab ; Jayaweera, Dilan ; Islam, S.M.

  • Author_Institution
    Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion.
  • Keywords
    power generation dispatch; power generation planning; power generation scheduling; stochastic programming; strategic planning; wind power plants; dynamic line ratings; intermittent wind power; latent scheduling capacity; limited transmission capacity; line-thermal rating; medium length lines; network congestion; optimal scheduling; power system; power system strategic planning; risk mitigation; stochastic optimization; stochastic variation; two stage recourse action; unit commitment decisions; wind curtailment; Optimization; Power system dynamics; Stochastic processes; Wind; Wind farms; Wind power generation; intermittent generation; power system optimization; risk of congestion; uncertainties in power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939381
  • Filename
    6939381