Dynamic pricing based and electric vehicle assisted demand response strategy

Xing Luo*, Xu Zhu, Eng Gee Lim

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)

Abstract

The usage of EVs as energy storage units via vehicle-to-home (V2H) provides an effective solution to load shaping at the end-user premises since it enables householder to alleviate the load burden of power grid and save bills simultaneously. In this paper, an innovative demand response (DR) strategy with an EV auxiliary power supply (EV-APS) model is proposed, to jointly optimize the household appliance scheduling and economic cost based on dynamic pricing (DP). The proposed DR strategy takes account of the comprehensive impacts of EVs charging behaviors, user preferences, distributed generation and load priority. The effectiveness of the proposed DR strategy is verified by numerical results in terms of load balancing and cost reduction. It also significantly outperforms the previous DR approaches.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages357-362
Number of pages6
ISBN (Electronic)9781538640555
DOIs
Publication statusPublished - 2 Jul 2017
Event2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany
Duration: 23 Oct 201726 Oct 2017

Publication series

Name2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Volume2018-January

Conference

Conference2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Country/TerritoryGermany
CityDresden
Period23/10/1726/10/17

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