• DocumentCode
    570016
  • Title

    Measurement and prediction of network demand in the presence of renewable distributed generation

  • Author

    Boait, P. ; Gillie, M. ; Suyeon Kim

  • Author_Institution
    De Montfort Univ., Leicester, UK
  • fYear
    2012
  • fDate
    29-30 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As the amount of renewable generation on the LV and 11kV distribution networks rises, it becomes difficult for distribution network operators to track the underlying demand for electricity. This paper describes a system under development to deduce renewable generator capacity, generation and consumer demand on individual feeders from current measurement data collected at the primary or distribution transformer. This provides DNOs with a low cost system to understand the true impact of generation on their network, better plan for outages and manage fault conditions. It gives them knowledge of the actual demand on their system, the generation connected and prediction of these values for the hours or days ahead using data already available.
  • Keywords
    distributed power generation; distribution networks; power generation faults; transformers; DNO; LV; consumer demand; distribution network operators; distribution transformer; fault conditions; network demand prediction; renewable distributed generation; voltage 11 kV;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Integration of Renewables into the Distribution Grid, CIRED 2012 Workshop
  • Conference_Location
    Lisbon
  • Electronic_ISBN
    978-1--84919-628-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.0728
  • Filename
    6302360