• DocumentCode
    502366
  • Title

    Application of storage and Demand Side Management to optimise existing network capacity

  • Author

    Stanojevic, Vladimir ; Silva, Vera ; Pudjianto, Danny ; Strbac, Goran ; Lang, Peter ; Macleman, David

  • Author_Institution
    Imperial College London - UK
  • fYear
    2009
  • fDate
    8-11 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In response to distribution network operational challenges such as aging network assets, the presence of Distributed Generation and expected load growth, new approaches are need to unlock existing network capacity. This paper presents a new methodology for assessing the potential benefits of using storage and Demand Side Management (DSM) to mitigate network congestion and increase the utilisation of the network assets. The methodology is based on a linear multi-period DC optimal power flow (OPF), where DSM and Storage are modelled as a part of the optimisation constraints. Storage and DSM are used to reduce network congestion and increase intermittent DG integration. The benefits of Storage and DSM are evaluated by comparing scenarios without and with these enabling technologies on an urban distribution network considering historical time series data for demand and wind output. The results obtained illustrate the potential applications of Storage and DSM to increase the network capacity utilisation and to reduce both wind curtailment and congestion costs.
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution - Part 1, 2009. CIRED 2009. 20th International Conference and Exhibition on
  • Conference_Location
    Prague, Czech Republic
  • ISSN
    0537-9989
  • Print_ISBN
    978-1-84919126-5
  • Type

    conf

  • Filename
    5255778