• DocumentCode
    146076
  • Title

    Monte Carlo study on impact of electric vehicles and heat pumps on LV feeder voltages

  • Author

    Li, Yuhua ; Crossley, Peter A.

  • Author_Institution
    Univ. of Manchester, Manchester, UK
  • fYear
    2014
  • fDate
    March 31 2014-April 3 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The impact of electric vehicles (EVs) and heat pumps (HPs) on the voltages seen on a low voltage (LV) feeder is investigated in this paper. The Monte Carlo (MC) method was adopted to understand the impact of diversity of demand on LV feeders and especially the effect of uncontrolled human behaviour. The statistical models of EV demand and HP demand were established and a simulation study was carried out in both balanced and unbalanced scenarios. Moreover, the effectiveness of the TOU tariff on mitigating the violations of the voltage limits caused by EVs and HPs was investigated and the result shows that the TOU tariff helps to shorten the violation time period but may induce a new violation period.
  • Keywords
    Monte Carlo methods; demand side management; electric vehicles; heat pumps; power distribution economics; power markets; LV feeder; Monte Carlo method; TOU tariff; demand diversity impact; electric vehicles; heat pumps; low voltage feeder; statistical model; violation time period; voltage imbalance; voltage limit; Voltage imbalance; demand side response; electric vehicle; heat pump; low voltage network;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power System Protection (DPSP 2014), 12th IET International Conference on
  • Conference_Location
    Copenhagen
  • Print_ISBN
    978-1-84919-834-9
  • Type

    conf

  • DOI
    10.1049/cp.2014.0095
  • Filename
    6822903