Dong, Zihao, Jiang, Jing, Qian, Haiya and Sun, Hongjian (2022) Demand side management considering household appliances and EV. In: 2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC). International Conference on Smart Grid and Smart Cities (ICSGSC) . IEEE, Piscataway, US, pp. 171-177. ISBN 9781665487849, 9781665487832, 9781665487825
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ICSGSC2022_SCE22_411_69_.pdf - Accepted Version Download (1MB) | Preview |
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.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Funding information: This work was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 872172 TESTBED2 project.; 2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC); Chengdu, China; 22-24 Oct 2022 |
| Uncontrolled Keywords: | demand side management, electric vehicles, load optimization, decarbonization, residential load |
| Subjects: | H800 Chemical, Process and Energy Engineering |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Related URLs: | |
| Depositing User: | John Coen |
| Date Deposited: | 10 Aug 2022 14:46 |
| Last Modified: | 07 Dec 2022 14:30 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/49821 |
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