• DocumentCode
    735562
  • Title

    Network partition based on critical branches for large-scale transmission expansion planning

  • Author

    Lumbreras, Sara ; Ramos, Andres ; Olmos, Luis ; Echavarren, Francisco ; Banez-Chicharro, Fernando ; Rivier, Michel ; Panciatici, Patrick ; Maeght, Jean ; Pache, Camille

  • Author_Institution
    Inst. for Res. in Technol., Univ. Pontificia Comillas, Madrid, Spain
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The size and complexity of large power systems, such as the European one, often make them unmanageable for the purposes of Transmission Expansion Planning (TEP). Therefore, network reduction methods are necessary to condense their key features into a workable model, which should approximate the behavior of the nodal system as accurately as possible. We define critical branches as the transmission lines that are particularly relevant for TEP purposes because of, for instance, frequent congestions or a special nature such as the cases of HVDC (High-Voltage Direct Current) transmission lines or PSTs (Phase-Shifting Transformers). It would be desirable to preserve these critical branches while simplifying the remaining grid. We propose a heuristic algorithm that creates an initial partition that is later refined by clustering nodes based on a composite distance measure. The proposed technique has been applied to a real case study based on the French and Spanish systems.
  • Keywords
    HVDC power transmission; power transformers; power transmission planning; European; French systems; HVDC; PST; Spanish systems; TEP; distance measure; heuristic algorithm; high-voltage direct current transmission lines; network partition; network reduction methods; phase-shifting transformers; power systems; transmission expansion planning; Reliability; Circuit Optimization; Clustering Methods; Power Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232344
  • Filename
    7232344