Demand response for optimisation of power systems demand due to EV charging load

Peng Zhang, Kejun Qian, Chengke Zhou, Brian Stewart, Donald Hepburn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationAsia-Pacific Power and Energy Engineering Conference (APPEEC)
PublisherIEEE
Number of pages4
ISBN (Print)9781457705458
DOIs
Publication statusPublished - Sep 2012

Keywords

  • power systems
  • demand optimization
  • consumer behaviour
  • pricing

Fingerprint Dive into the research topics of 'Demand response for optimisation of power systems demand due to EV charging load'. Together they form a unique fingerprint.

Cite this