Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response
As an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_01058.pdf |
| _version_ | 1818641049457786880 |
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| author | Huang Haiyu Wang Chunming Xia Shaolian Xiong Huaqiang Jiang Baofeng Liu Dunnan Yuan Gao |
| author_facet | Huang Haiyu Wang Chunming Xia Shaolian Xiong Huaqiang Jiang Baofeng Liu Dunnan Yuan Gao |
| author_sort | Huang Haiyu |
| collection | DOAJ |
| description | As an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric vehicles, guided by TOU price and direct load control, this paper proposes an optimal scheduling model with the minimum load difference and the maximum total revenue of users as the objective function. The results show that the joint optimal scheduling strategy can reduce the peak load and eliminate the “secondary peak load” caused by disorderly charging of electric vehicles. |
| first_indexed | 2024-12-16T23:20:59Z |
| format | Article |
| id | doaj.art-8a99732f1a564974aa37bbc9e824db77 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T23:20:59Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-8a99732f1a564974aa37bbc9e824db772022-12-21T22:12:09ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570105810.1051/e3sconf/202125701058e3sconf_aesee2021_01058Research on joint optimal scheduling of air conditioning load and electric vehicle under demand responseHuang Haiyu0Wang Chunming1Xia Shaolian2Xiong Huaqiang3Jiang Baofeng4Liu Dunnan5Yuan Gao6Central China Electric Power Dispatching and Control Sub-center of State GridCentral China Electric Power Dispatching and Control Sub-center of State GridCentral China Electric Power Dispatching and Control Sub-center of State GridCentral China Electric Power Dispatching and Control Sub-center of State GridCentral China Electric Power Dispatching and Control Sub-center of State GridState Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University), Changping DistrictState Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University), Changping DistrictAs an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric vehicles, guided by TOU price and direct load control, this paper proposes an optimal scheduling model with the minimum load difference and the maximum total revenue of users as the objective function. The results show that the joint optimal scheduling strategy can reduce the peak load and eliminate the “secondary peak load” caused by disorderly charging of electric vehicles.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_01058.pdf |
| spellingShingle | Huang Haiyu Wang Chunming Xia Shaolian Xiong Huaqiang Jiang Baofeng Liu Dunnan Yuan Gao Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response E3S Web of Conferences |
| title | Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| title_full | Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| title_fullStr | Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| title_full_unstemmed | Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| title_short | Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| title_sort | research on joint optimal scheduling of air conditioning load and electric vehicle under demand response |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_01058.pdf |
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