Smart home energy management with vehicle-to-home technology

Chenxi Li, Fengji Luo, Yingying Chen, Zhao Xu, Yinan An, Xiao Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

Abstract

With the increasingly prevalence of building automation devices and two-way communication infrastructure, home energy management has drawn lots of attentions in recent years. As a newly emerged residential energy resource, the home plugged electric vehicle (EV) has the potential to discharge energy and serve the home consumption. This paper proposes a home energy management (HEMS) by considering the penetration of vehicle-to-home (V2H) technology. The proposed system optimally schedules the plugged EV together with the automatically operated appliances in a real-time pricing environment, with the aim to minimize the one-day cost of the house. A recently proposed heuristic based algorithm, i.e., Natural Aggregation Algorithm (NAA) is applied to solve the HEMS model. Simulations results show that the V2H technology can significantly reduce the home energy cost for the residential users.
Original languageEnglish
Title of host publication2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PublisherIEEE Computer Society
Pages136-142
Number of pages7
ISBN (Electronic)9781538626795
DOIs
Publication statusPublished - 4 Aug 2017
Event13th IEEE International Conference on Control and Automation, ICCA 2017 - Ohrid, Macedonia, The Former Yugoslav Republic of
Duration: 3 Jul 20176 Jul 2017

Conference

Conference13th IEEE International Conference on Control and Automation, ICCA 2017
Country/TerritoryMacedonia, The Former Yugoslav Republic of
CityOhrid
Period3/07/176/07/17

Keywords

  • demand response
  • Home energy management system
  • natural aggregation algorithm
  • vehicle to home

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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