• DocumentCode
    572285
  • Title

    Demand Response for Optimisation of Power Systems Demand Due to EV Charging Load

  • Author

    Zhang, Peng ; Qian, Kejun ; Zhou, Chengke ; Stewart, Brian G. ; Hepburn, Donald M.

  • Author_Institution
    Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5% and help customers save electricity bills by 7% compared to the standard tariff.
  • Keywords
    battery powered vehicles; costing; mathematical analysis; performance evaluation; power markets; power system economics; pricing; tariffs; EV charging load; demand response program; electric vehicle charging load; electricity prices; generation marginal cost; mathematical solution; multitariff programs; performance evaluation; power system demand optimisation; single-tariff programs; wholesale market energy price; Batteries; Educational institutions; Electricity; Load management; Optimization; Power systems; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307523
  • Filename
    6307523