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

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Abstract

Combination of the information technology and the power engineering is the feature of next-generation grid. Depending on bidirectional communications, demand side management (DSM) aims at optimizing the electricity usage pattern of customers to improve energy efficiency and alleviate environmental impact. In this study, a DSM optimization algorithm is designed, which can perform load shifting on a household level based on the Time-of-Use strategy. Several flexible appliances, plug-in hybrid electric vehicle (EV) charging and rooftop photovoltaic (PV), are considered. Results show that the daily electricity cost has declined by 19% after the optimization. A 12% reduction of the domestic carbon emission is also achieved from the variation of grid carbon intensity and energy provided by rooftop PV. It is validated that with the growing penetration rate of EVs and renewable energy generation, smart scheduling of household load can greatly benefit grid stability and energy efficiency.
Original languageEnglish
Title of host publicationThe 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022)
Place of PublicationPiscataway, US
PublisherIEEE
Number of pages6
Publication statusAccepted/In press - 13 Jun 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/

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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