• DocumentCode
    715105
  • Title

    Initial assessment of voltage-led demand response from UK residential loads

  • Author

    Ballanti, Andrea ; Ochoa, Luis F.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    One way of unlocking aggregated demand response without directly managing customers is to exploit the positive correlation between voltage and demand. This work presents an initial assessment of the potential residential response in UK primary substations (e.g., 33/11 or 33/6.6 kV) as part of the trial “Customer Load Active System Services (CLASS)” run by the distribution network operator Electricity North West Limited (ENWL). Two load modelling methodologies, time independent and time varying, are presented and applied to a single primary substation and then extended to the ENWL area. For the latter, the results considering the time-varying model, purely residential load, and 3% voltage reduction during a winter day show that it could be possible to achieve an aggregated peak reduction exceeding 150 MW (>3%). Although the two load models have shown strong agreement the latter is a more accurate alternative when demand response throughout the day is of particular interest.
  • Keywords
    distribution networks; CLASS; Electricity North West Limited; UK primary substations; UK residential loads; customer load active system services; load modelling methodologies; potential residential response; residential load; time-varying model; unlocking aggregated demand response; voltage reduction; voltage-led demand response; Electric potential; Home appliances; Load management; Load modeling; Reactive power; Space heating; Substations; CVR; Demand response; exponential load model; smart grids; voltage management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131821
  • Filename
    7131821