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Demand side management considering household appliances and EV

Dong, Zihao; Jiang, Jing; Qian, Haiya; Sun, Hongjian

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Zihao Dong

Jing Jiang

Haiya Qian


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.


Dong, Z., Jiang, J., Qian, H., & Sun, H. (2022). Demand side management considering household appliances and EV. .

Conference Name 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022)
Conference Location Chengdu, China
Start Date Oct 22, 2022
End Date Oct 24, 2022
Acceptance Date Jun 2, 2022
Online Publication Date Dec 1, 2022
Publication Date 2022
Deposit Date Jun 21, 2022
Publicly Available Date Oct 25, 2022
Pages 171-177
Series ISSN 2768-007X,2768-0088


Accepted Conference Proceeding (1.1 Mb)

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