Optimal scheduling strategy of EVs considering the limitation of battery state switching times
In recent years, with environmental problems being increasingly outstanding, the clean transport represented by electric vehicles (EVs) has replaced traditional fossil fuel vehicles in an inevitable way. Taking advantage of the bidirectional charging power of EVs is an effective measure to avoid the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722004462 |
| _version_ | 1811268039160627200 |
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| author | Lizi Luo Pinquan He Suyang Zhou Guannan Lou Bin Fang Puyu Wang |
| author_facet | Lizi Luo Pinquan He Suyang Zhou Guannan Lou Bin Fang Puyu Wang |
| author_sort | Lizi Luo |
| collection | DOAJ |
| description | In recent years, with environmental problems being increasingly outstanding, the clean transport represented by electric vehicles (EVs) has replaced traditional fossil fuel vehicles in an inevitable way. Taking advantage of the bidirectional charging power of EVs is an effective measure to avoid the grid shock caused by the large-scale EV penetration. However, the frequent charging and discharging of EVs will bring unnecessary damage to the batteries. In order to solve this problem, the paper proposes an optimal scheduling strategy of EVs considering the limitation of battery state switching times. Besides the traditional constraints relevant with EVs’ scheduling, the limitation of battery state switching times is properly involved in the proposed strategy. Numerical results show that the charging schemes obtained from the proposed scheduling model can protect EV batteries at an almost negligible loss in users’ charging cost. |
| first_indexed | 2024-04-12T21:14:51Z |
| format | Article |
| id | doaj.art-34fc77f506cd4791baa0bc4e156792fc |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-12T21:14:51Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-34fc77f506cd4791baa0bc4e156792fc2022-12-22T03:16:29ZengElsevierEnergy Reports2352-48472022-08-018918927Optimal scheduling strategy of EVs considering the limitation of battery state switching timesLizi Luo0Pinquan He1Suyang Zhou2Guannan Lou3Bin Fang4Puyu Wang5School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; School of Electrical Engineering, Southeast University, Nanjing 210096, China; Corresponding author at: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.School of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaIn recent years, with environmental problems being increasingly outstanding, the clean transport represented by electric vehicles (EVs) has replaced traditional fossil fuel vehicles in an inevitable way. Taking advantage of the bidirectional charging power of EVs is an effective measure to avoid the grid shock caused by the large-scale EV penetration. However, the frequent charging and discharging of EVs will bring unnecessary damage to the batteries. In order to solve this problem, the paper proposes an optimal scheduling strategy of EVs considering the limitation of battery state switching times. Besides the traditional constraints relevant with EVs’ scheduling, the limitation of battery state switching times is properly involved in the proposed strategy. Numerical results show that the charging schemes obtained from the proposed scheduling model can protect EV batteries at an almost negligible loss in users’ charging cost.http://www.sciencedirect.com/science/article/pii/S2352484722004462Electric vehicleVehicle to grid (V2G)Optimal schedulingBattery state switching timesRegular dodecagonal relaxation |
| spellingShingle | Lizi Luo Pinquan He Suyang Zhou Guannan Lou Bin Fang Puyu Wang Optimal scheduling strategy of EVs considering the limitation of battery state switching times Energy Reports Electric vehicle Vehicle to grid (V2G) Optimal scheduling Battery state switching times Regular dodecagonal relaxation |
| title | Optimal scheduling strategy of EVs considering the limitation of battery state switching times |
| title_full | Optimal scheduling strategy of EVs considering the limitation of battery state switching times |
| title_fullStr | Optimal scheduling strategy of EVs considering the limitation of battery state switching times |
| title_full_unstemmed | Optimal scheduling strategy of EVs considering the limitation of battery state switching times |
| title_short | Optimal scheduling strategy of EVs considering the limitation of battery state switching times |
| title_sort | optimal scheduling strategy of evs considering the limitation of battery state switching times |
| topic | Electric vehicle Vehicle to grid (V2G) Optimal scheduling Battery state switching times Regular dodecagonal relaxation |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722004462 |
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