• DocumentCode
    267606
  • Title

    Operational strategies for predictive dispatch of control reserves in view of stochastic generation

  • Author

    Delikaraoglou, Stefanos ; Heussen, Kai ; Pinson, Pierre

  • Author_Institution
    Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In view of the predictability and stochasticity of wind power generation, transmission system operators (TSOs) can benefit from predictive dispatch of slow and manual control reserves in order to maintain reactive reserve levels for unpredictable events. While scenario-based approaches for stochastic optimization are well suited for this problem, it appears that TSOs are hesitant in adopting this method into their practice of predictive dispatch. Differences in the formulation of constraints and cost functions, the timing and reserve product constraints influence the dispatch result significantly and yield varying results with different practical implications. To support adoption, there is a need to study relevant parameters and trade-offs to be considered in introducing such methods to operation practice, enabling also the investigation of alternate reserve product constraints, e.g., to enable reserve contribution from storage-constrained units. This paper introduces a framework for comparison of operational strategies for system balancing, proposes criteria for performance assessment and exemplifies a systematic evaluation of several operation strategies.
  • Keywords
    load dispatching; optimisation; power generation control; power transmission control; predictive control; stochastic processes; wind power plants; TSO; control reserves; cost functions; operational strategies; predictive dispatch; reserve product constraints; stochastic generation; stochastic optimization; storage-constrained units; system balancing; transmission system operators; wind power generation; Power systems; Stochastic processes; Uncertainty; Vectors; Wind farms; Wind forecasting; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038417
  • Filename
    7038417