Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems
Large-scale integration of electric vehicles (EVs) into the city system for charging will affect the operation of both traffic and distribution networks. An electric vehicle navigation and cluster dispatch model is proposed for improving the overall charging efficiency of EVs on the transportation n...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1164198/full |
| _version_ | 1797868314111770624 |
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| author | Shunqi Wang Yue Xiang Lin Chen Zhou Sun Zhou Sun Shangjian Hu Mingyang Guo Haifeng Hu Jun Tong Yifan Huang Liang Chen Junyong Liu |
| author_facet | Shunqi Wang Yue Xiang Lin Chen Zhou Sun Zhou Sun Shangjian Hu Mingyang Guo Haifeng Hu Jun Tong Yifan Huang Liang Chen Junyong Liu |
| author_sort | Shunqi Wang |
| collection | DOAJ |
| description | Large-scale integration of electric vehicles (EVs) into the city system for charging will affect the operation of both traffic and distribution networks. An electric vehicle navigation and cluster dispatch model is proposed for improving the overall charging efficiency of EVs on the transportation network and increasing the voltage level of the distribution network. First, a simplified model of vehicles and traffic road network is established, and a cell transmission model (CTM) is used to simulate the real traffic network. The traffic system takes into account charging EVs, discharging EVs, and other vehicles, and traffic congestion is considered. Then, a coupled model of the traffic–power system is built for the orderly charging of electric vehicles upon arrival at a charging station. The model considers the coupling of the two systems on a time scale, and the charging/discharging power at each charging station node is controlled. The validity of the model is verified in a coupled system of 357 cell traffic network and modified IEEE33 nodes. The results show that the proposed model can ensure good guarantee of the distribution network voltage reliability and reveal the scheduling process of the traffic network. The proposed model also provides a reference for planning of charging stations in the distribution network. |
| first_indexed | 2024-04-09T23:55:01Z |
| format | Article |
| id | doaj.art-c0d03bae5aac41bc9970b4f213a84801 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-09T23:55:01Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-c0d03bae5aac41bc9970b4f213a848012023-03-17T04:32:53ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-03-011110.3389/fenrg.2023.11641981164198Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systemsShunqi Wang0Yue Xiang1Lin Chen2Zhou Sun3Zhou Sun4Shangjian Hu5Mingyang Guo6Haifeng Hu7Jun Tong8Yifan Huang9Liang Chen10Junyong Liu11College of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaSichuan Road & Bridge Group Co, Ltd., Chengdu, ChinaSichuan Shudao Clean Energy Group Co, Ltd., Chengdu, ChinaSichuan Road & Bridge Group Co, Ltd., Chengdu, ChinaSichuan Shudao Clean Energy Group Co, Ltd., Chengdu, ChinaChengdu TELD New Energy Co, Ltd., Chengdu, ChinaChengdu TELD New Energy Co, Ltd., Chengdu, ChinaChengdu TELD New Energy Co, Ltd., Chengdu, ChinaChengdu TELD New Energy Co, Ltd., Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaLarge-scale integration of electric vehicles (EVs) into the city system for charging will affect the operation of both traffic and distribution networks. An electric vehicle navigation and cluster dispatch model is proposed for improving the overall charging efficiency of EVs on the transportation network and increasing the voltage level of the distribution network. First, a simplified model of vehicles and traffic road network is established, and a cell transmission model (CTM) is used to simulate the real traffic network. The traffic system takes into account charging EVs, discharging EVs, and other vehicles, and traffic congestion is considered. Then, a coupled model of the traffic–power system is built for the orderly charging of electric vehicles upon arrival at a charging station. The model considers the coupling of the two systems on a time scale, and the charging/discharging power at each charging station node is controlled. The validity of the model is verified in a coupled system of 357 cell traffic network and modified IEEE33 nodes. The results show that the proposed model can ensure good guarantee of the distribution network voltage reliability and reveal the scheduling process of the traffic network. The proposed model also provides a reference for planning of charging stations in the distribution network.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1164198/fullelectric vehiclenavigationcluster dispatchtraffic–power systemcell transmission model |
| spellingShingle | Shunqi Wang Yue Xiang Lin Chen Zhou Sun Zhou Sun Shangjian Hu Mingyang Guo Haifeng Hu Jun Tong Yifan Huang Liang Chen Junyong Liu Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems Frontiers in Energy Research electric vehicle navigation cluster dispatch traffic–power system cell transmission model |
| title | Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems |
| title_full | Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems |
| title_fullStr | Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems |
| title_full_unstemmed | Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems |
| title_short | Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems |
| title_sort | electric vehicle navigation and cluster dispatch for reliable low carbon traffic power systems |
| topic | electric vehicle navigation cluster dispatch traffic–power system cell transmission model |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1164198/full |
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