Demand side management considering household appliances and EV

Zihao Dong, Jing Jiang, Haiya Qian, Hongjian Sun

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

3 Citations (Scopus)
18 Downloads (Pure)

Abstract

Combination of information technology and power engineering is the feature of the next-generation grid. Depending on bidirectional communication, demand side management (DSM) aims at carrying out optimization on the electricity usage pattern of customers to improve energy efficiency and minimize environmental impact. In the present study, a DSM optimization algorithm is designed, which can perform load shifting on a household level based on Time-of-Use strategy. Several flexible appliances, Plug-in hybrid electric vehicle (EV) charging and rooftop photovoltaic (PV) are considered. The results show that the daily electricity cost has a decline of 19% after optimization. 12% reduction of domestic carbon emission is also achieved from the variation of grid carbon intensity and energy provided by rooftop PV. With the growing proportion of EVs and renewable energy, smarting scheduling of household load has a significant impact on grid stability and energy efficiency.
Original languageEnglish
Title of host publication2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
Place of PublicationPiscataway, US
PublisherIEEE
Pages171-177
Number of pages7
ISBN (Electronic)9781665487832, 9781665487825
ISBN (Print)9781665487849
DOIs
Publication statusPublished - 22 Oct 2022
Event2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC) - Chengdu, China
Duration: 22 Oct 202224 Oct 2022
http://www.csgsc.net/

Publication series

NameInternational Conference on Smart Grid and Smart Cities (ICSGSC)
PublisherIEEE
ISSN (Print)2768-007X
ISSN (Electronic)2768-0088

Conference

Conference2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
Country/TerritoryChina
CityChengdu
Period22/10/2224/10/22
Internet address

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