Forecasting method of electric vehicle load time-space distribution considering traffic distribution
The main work of this paper is to establish an electric vehicle(EV) load forecasting model based on road network traffic distribution for urban and inter-city transportation networks. This paper established a road network model considering the traffic impedance for the EV load forecasting of the urb...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_02030.pdf |
| _version_ | 1818320747285708800 |
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| author | Liu Weidong Li Lei Xie Qin Li Dan Zhang Jing |
| author_facet | Liu Weidong Li Lei Xie Qin Li Dan Zhang Jing |
| author_sort | Liu Weidong |
| collection | DOAJ |
| description | The main work of this paper is to establish an electric vehicle(EV) load forecasting model based on road network traffic distribution for urban and inter-city transportation networks. This paper established a road network model considering the traffic impedance for the EV load forecasting of the urban fast charging network, and studied the prediction method of the time-space distribution of EV charging demand in the fast charging mode .Based on the expressway, the method for predicting the time-space distribution of EV load in the inter-city fast charging network is studied, and a time-space distribution load forecasting model is established. Based on the time-space distribution of traffic flow, combined with EV charging characteristics and travel routes, load simulation is performed. By constructing a prediction method for the time-space distribution of EV charging demand in the fast charging mode, it provides theoretical and methodological support for the research of time-sharing and segmented metering and charging strategies for EV fast charging stations,, and provides an important reference for the development of EV charging facilities operating cost benefits, economic performance indicators and calculation models under fast charging mode, which are of great significance to promote the popularization and application of EV fast charging modes. |
| first_indexed | 2024-12-13T10:29:55Z |
| format | Article |
| id | doaj.art-298a6402618d43fbadf81954af0da9c8 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-13T10:29:55Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-298a6402618d43fbadf81954af0da9c82022-12-21T23:50:53ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011940203010.1051/e3sconf/202019402030e3sconf_icaeer2020_02030Forecasting method of electric vehicle load time-space distribution considering traffic distributionLiu Weidong0Li Lei1Xie Qin2Li Dan3Zhang Jing4Marketing Service Center of State Grid Tianjin Electric Power CompanyMarketing Service Center of State Grid Tianjin Electric Power CompanyState Grid Tianjin Electric Power CompanyMarketing Service Center of State Grid Tianjin Electric Power CompanyChina Electric Power Research InstituteThe main work of this paper is to establish an electric vehicle(EV) load forecasting model based on road network traffic distribution for urban and inter-city transportation networks. This paper established a road network model considering the traffic impedance for the EV load forecasting of the urban fast charging network, and studied the prediction method of the time-space distribution of EV charging demand in the fast charging mode .Based on the expressway, the method for predicting the time-space distribution of EV load in the inter-city fast charging network is studied, and a time-space distribution load forecasting model is established. Based on the time-space distribution of traffic flow, combined with EV charging characteristics and travel routes, load simulation is performed. By constructing a prediction method for the time-space distribution of EV charging demand in the fast charging mode, it provides theoretical and methodological support for the research of time-sharing and segmented metering and charging strategies for EV fast charging stations,, and provides an important reference for the development of EV charging facilities operating cost benefits, economic performance indicators and calculation models under fast charging mode, which are of great significance to promote the popularization and application of EV fast charging modes.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_02030.pdf |
| spellingShingle | Liu Weidong Li Lei Xie Qin Li Dan Zhang Jing Forecasting method of electric vehicle load time-space distribution considering traffic distribution E3S Web of Conferences |
| title | Forecasting method of electric vehicle load time-space distribution considering traffic distribution |
| title_full | Forecasting method of electric vehicle load time-space distribution considering traffic distribution |
| title_fullStr | Forecasting method of electric vehicle load time-space distribution considering traffic distribution |
| title_full_unstemmed | Forecasting method of electric vehicle load time-space distribution considering traffic distribution |
| title_short | Forecasting method of electric vehicle load time-space distribution considering traffic distribution |
| title_sort | forecasting method of electric vehicle load time space distribution considering traffic distribution |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_02030.pdf |
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