• DocumentCode
    725577
  • Title

    Synchronous islanding control in the presence of hydro-electric generation

  • Author

    Jacobsen, Mats-Robin ; Laverty, David M. ; Morrow, D. John ; Hastings, John

  • Author_Institution
    Sch. of EEECS, Queen´s Univ. Belfast, Belfast, UK
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    2200
  • Lastpage
    2204
  • Abstract
    This paper introduces a novel load sharing algorithm to enable island synchronization. The system model used for development is based on an actual system for which historical measurement and fault data is available and is used to refine and test the algorithms performance and validity. The electrical system modelled is selected due to its high-level of hydroelectric generation and its history of islanding events. The process of developing the load sharing algorithm includes a number of steps. Firstly, the development of a simulation model to represent the case study accurately - this is validated by way of matching system behavior based on data from historical island events. Next, a generic island simulation is used to develop the load sharing algorithm. The algorithm is then tested against the validated simulation model representing the case study area selected. Finally, a laboratory setup is described which is used as validation method for the novel load sharing algorithm.
  • Keywords
    distributed power generation; hydroelectric generators; load shedding; power distribution faults; power system control; power system measurement; fault data measurement; hydroelectric generation; island synchronization; load sharing algorithm; synchronous islanding control; Data models; Frequency control; Frequency synchronization; Generators; Islanding; Load modeling; Mathematical model; Islanding; Smart Grid; Synchrophasors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165521
  • Filename
    7165521