Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration
In order to reduce the impact of the performance degradation of a direct current (DC) distribution network system caused by the access of scaled electric vehicles (EVs), this paper proposes a collaborative optimization method for a DC distribution network based on scaled EVs charging and discharging...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/373 |
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| author | Yongqiang Kang Gang Lu Meng Chen Xinglong Li Shuaibing Li |
| author_facet | Yongqiang Kang Gang Lu Meng Chen Xinglong Li Shuaibing Li |
| author_sort | Yongqiang Kang |
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| description | In order to reduce the impact of the performance degradation of a direct current (DC) distribution network system caused by the access of scaled electric vehicles (EVs), this paper proposes a collaborative optimization method for a DC distribution network based on scaled EVs charging and discharging and soft open points (SOPs) topology reconfiguration. Firstly, based on the normal charging of scaled EVs, the EV discharge power model and the discharge response model were established based on the V2G (vehicle-to-grid) characteristic. Based on the characteristics of SOPs regulating voltage and power distribution, the SOP model and its equivalent model of DC system are established to identify the collaborative optimization of scaled EVs charging and discharging and SOPs topology reconstruction. Secondly, the bi-level model that optimizes multi-objects, including distribution network system loss, total voltage deviation and customer benefits, is established. The upper and lower models use the multi-objective particle swarm optimization (MOPSO) algorithm and simulated annealing algorithm to jointly optimize the optimal EV discharge power and the optimal SOP access configuration simultaneously. Finally, the effectiveness of the proposed collaborative optimization method is verified by a modified IEEE 33-node DC system example. |
| format | Article |
| id | doaj-art-6124c7fd27fe492282add2a17c9232ad |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-6124c7fd27fe492282add2a17c9232ad2025-01-24T13:31:15ZengMDPI AGEnergies1996-10732025-01-0118237310.3390/en18020373Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology ReconfigurationYongqiang Kang0Gang Lu1Meng Chen2Xinglong Li3Shuaibing Li4School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaIn order to reduce the impact of the performance degradation of a direct current (DC) distribution network system caused by the access of scaled electric vehicles (EVs), this paper proposes a collaborative optimization method for a DC distribution network based on scaled EVs charging and discharging and soft open points (SOPs) topology reconfiguration. Firstly, based on the normal charging of scaled EVs, the EV discharge power model and the discharge response model were established based on the V2G (vehicle-to-grid) characteristic. Based on the characteristics of SOPs regulating voltage and power distribution, the SOP model and its equivalent model of DC system are established to identify the collaborative optimization of scaled EVs charging and discharging and SOPs topology reconstruction. Secondly, the bi-level model that optimizes multi-objects, including distribution network system loss, total voltage deviation and customer benefits, is established. The upper and lower models use the multi-objective particle swarm optimization (MOPSO) algorithm and simulated annealing algorithm to jointly optimize the optimal EV discharge power and the optimal SOP access configuration simultaneously. Finally, the effectiveness of the proposed collaborative optimization method is verified by a modified IEEE 33-node DC system example.https://www.mdpi.com/1996-1073/18/2/373electric vehiclesDC distribution networksoft open pointstopology reconstructioncollaborative optimization |
| spellingShingle | Yongqiang Kang Gang Lu Meng Chen Xinglong Li Shuaibing Li Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration Energies electric vehicles DC distribution network soft open points topology reconstruction collaborative optimization |
| title | Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration |
| title_full | Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration |
| title_fullStr | Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration |
| title_full_unstemmed | Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration |
| title_short | Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration |
| title_sort | collaborative optimization of direct current distribution network based on scaled electric vehicles charging and discharging and soft open points topology reconfiguration |
| topic | electric vehicles DC distribution network soft open points topology reconstruction collaborative optimization |
| url | https://www.mdpi.com/1996-1073/18/2/373 |
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