• DocumentCode
    665256
  • Title

    Fault tolerant aggregation for power system services

  • Author

    Kosek, Anna Magdalena ; Gehrke, Oliver ; Kullmann, Daniel

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. of Denmark, Roskilde, Denmark
  • fYear
    2013
  • fDate
    14-14 Nov. 2013
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    Exploiting the flexibility in distributed energy resources (DER) is seen as an important contribution to allow high penetrations of renewable generation in electrical power systems. However, the present control infrastructure in power systems is not well suited for the integration of a very large number of small units. A common approach is to aggregate a portfolio of such units together and expose them to the power system as a single large virtual unit. In order to realize the vision of a Smart Grid, concepts for flexible, resilient and reliable aggregation infrastructures are required. This paper presents such a concept while focusing on the aspect of resilience and fault tolerance. The proposed concept makes use of a multi-level election algorithm to transparently manage the addition, removal, failure and reorganization of units. It has been implemented and tested as a proof-of-concept on the distributed smart grid test bed SYSLAB at the Technical University of Denmark.
  • Keywords
    distributed power generation; fault tolerance; power generation faults; power generation reliability; renewable energy sources; smart power grids; DER; SYSLAB; distributed energy resources; distributed smart grid test bed; electrical power systems; fault tolerant aggregation; flexible infrastructures; multilevel election algorithm; power system services; reliable aggregation infrastructure; renewable generation; resilient infrastructure; units portfolio; virtual unit; Aggregates; Buildings; Density estimation robust algorithm; Nominations and elections; Power system dynamics; Power system reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on
  • Conference_Location
    Vienna
  • Type

    conf

  • DOI
    10.1109/IWIES.2013.6698570
  • Filename
    6698570