• DocumentCode
    3733637
  • Title

    Optimal sizing and placement of power-to-gas systems in future active distribution networks

  • Author

    Iker Diaz de Cerio Mendaza;Bishnu P. Bhattarai;Konstantinos Kouzelis;Jayakrishnan R. Pillai;Birgitte Bak-Jensen;Allan Jensen

  • Author_Institution
    Department of Energy Technology, Aalborg University, Pontoppidanstr?de 101, 9220, Aalborg 0, Denmark
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power-to-Gas is recently attracting lots of interest as a new alternative for the regulation of renewable based power system. In cases, where the re-powering of old wind turbines threatens the normal operation of the local distribution network, this becomes especially relevant. However, the design of medium-voltage distribution networks does not normally follow a common pattern, finding a singular and very particular layouts in each case. This fact, makes the placement and dimensioning of such flexible loads a complicated task for the distribution system operator in the future. This paper describes the procedure employed to optimally size and allocate Power-to-Gas units in order to counteract the impact produced by the wind power re-powering in medium-voltage networks. This approach employs the integer-valued particle swarm optimization technique with the purpose of minimizing both the number of units-investment cost- and the technical losses in the system under study. The results obtained from the assessed test system show how such non-linear methods could help distribution system operators to obtain a fast and precise perception of what is the best way to integrate the Power-to-Gas facilities in their system.
  • Keywords
    "Wind power generation","Power systems","Particle swarm optimization","Wind turbines","Electric potential","Hydrogen","Medium voltage"
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative
  • Electronic_ISBN
    2378-8542
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2015.7387053
  • Filename
    7387053