• DocumentCode
    493235
  • Title

    Use of Phase Shifting Transformers for Minimising Congestion Risk

  • Author

    Verboomen, J. ; Papaefthymiou, G. ; Kling, W.L. ; van der Sluis, L.

  • Author_Institution
    Electr. Power Syst. Group, Delft Univ. of Technol., Delft
  • fYear
    2008
  • fDate
    25-29 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper demonstrates a methodology for the optimal use of phase shifting transformers (PSTs) for the minimisation of the risk of congestion on power system lines. The methodology proposes as a first step the use of Monte-Carlo simulation for the assessment of the power flow distributions in the lines. It is shown that by using PSTs these distributions are shifted by specific factors that can be derived from the system topology and the location of the PSTs. In this context, the problem of de-congesting the system corresponds to finding the PST settings that shift these distributions inside the operational limits of the power system lines. This optimisation problem can not be defined by an analytical expression; a simulation-based optimisation is therefore proposed, in particular particle swarm optimisation. A study case shows how the proposed technique leads to the best utilisation of the capacity in a meshed grid.
  • Keywords
    Monte Carlo methods; load flow; minimisation; particle swarm optimisation; power systems; power transformers; Monte-Carlo simulation; meshed grid; minimising congestion risk; particle swarm optimisation; phase shifting transformers; power flow distributions; power system line congestion; risk minimisation; Control systems; Load flow; Minimization methods; Particle swarm optimization; Power generation; Power system simulation; Power systems; Topology; Transformers; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on
  • Conference_Location
    Rincon
  • Print_ISBN
    978-1-9343-2521-6
  • Electronic_ISBN
    978-1-9343-2540-7
  • Type

    conf

  • Filename
    4912673