A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling
[Objective] In response to the increasingly diversified charging demands arising from the rapid development of electric vehicles （EVs）， this study investigates a planning method for charging stations based on the collaboration of multiple types of charging posts.[Methods] From the perspective of EVs...
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Editorial Department of Electric Power Construction
2025-07-01
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| Series: | Dianli jianshe |
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| Online Access: | https://www.cepc.com.cn/fileup/1000-7229/PDF/1750819795449-1351325303.pdf |
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| author | XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian |
| author_facet | XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian |
| author_sort | XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian |
| collection | DOAJ |
| description | [Objective] In response to the increasingly diversified charging demands arising from the rapid development of electric vehicles （EVs）， this study investigates a planning method for charging stations based on the collaboration of multiple types of charging posts.[Methods] From the perspective of EVs， transportation networks， and power grids， a siting and sizing planning method for charging stations under vehicle-road-grid coupling is first established based on the graph theory. The charging behavior characteristics of EV users are then explicitly modeled， and four types of charging posts are selected as the main facilities： slow charging post （SCP）， fast charging post （FCP）， mobile charging post （MCP）， and ultrafast charging post （UCP）. A planning model is constructed with the objective of minimizing the annualized total social cost， incorporating constraints from multiple scenario conditions and multiple charging post types. The planning problem is then reformulated as a mixed-integer second-order cone programming （MISOCP） problem via scenario transformation and the second-order cone relaxation techniques and solved using the Gurobi optimizer.[Results] The simulation results demonstrated the high efficiency and effectiveness of the proposed model. The results indicated that the planning solution considering SCP， FCP， UCP， and MCP was optimal. Notably， the integration of MCPs provided an effective emergency response during peak charging demand periods and reduced the overall planning cost by 17.82%.[Conclusions] In the proposed planning model， EV users can select among multiple types of charging posts based on specific principles. The coordinated configuration of diverse charging posts offers greater flexibility than single-type configurations， enabling the satisfaction of charging demands while reducing the annualized total social cost. |
| format | Article |
| id | doaj-art-db48a5e3a12d49d6a7cbe858b0bfa0f8 |
| institution | Matheson Library |
| issn | 1000-7229 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Editorial Department of Electric Power Construction |
| record_format | Article |
| series | Dianli jianshe |
| spelling | doaj-art-db48a5e3a12d49d6a7cbe858b0bfa0f82025-06-25T09:26:01ZzhoEditorial Department of Electric Power ConstructionDianli jianshe1000-72292025-07-014679510710.12204/j.issn.1000-7229.2025.07.008A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network CouplingXU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian01. State Grid Chongqing Electric Power Company Marketing Service Center， Chongqing 400023， China;2. State Key Laboratory of Power Transmission Equipment Technology （Chongqing University）， Chongqing 400044， China[Objective] In response to the increasingly diversified charging demands arising from the rapid development of electric vehicles （EVs）， this study investigates a planning method for charging stations based on the collaboration of multiple types of charging posts.[Methods] From the perspective of EVs， transportation networks， and power grids， a siting and sizing planning method for charging stations under vehicle-road-grid coupling is first established based on the graph theory. The charging behavior characteristics of EV users are then explicitly modeled， and four types of charging posts are selected as the main facilities： slow charging post （SCP）， fast charging post （FCP）， mobile charging post （MCP）， and ultrafast charging post （UCP）. A planning model is constructed with the objective of minimizing the annualized total social cost， incorporating constraints from multiple scenario conditions and multiple charging post types. The planning problem is then reformulated as a mixed-integer second-order cone programming （MISOCP） problem via scenario transformation and the second-order cone relaxation techniques and solved using the Gurobi optimizer.[Results] The simulation results demonstrated the high efficiency and effectiveness of the proposed model. The results indicated that the planning solution considering SCP， FCP， UCP， and MCP was optimal. Notably， the integration of MCPs provided an effective emergency response during peak charging demand periods and reduced the overall planning cost by 17.82%.[Conclusions] In the proposed planning model， EV users can select among multiple types of charging posts based on specific principles. The coordinated configuration of diverse charging posts offers greater flexibility than single-type configurations， enabling the satisfaction of charging demands while reducing the annualized total social cost.https://www.cepc.com.cn/fileup/1000-7229/PDF/1750819795449-1351325303.pdfvehicle-road-network coupling|charging station planning|multi-category charging piles|multi-conditional scenario constraints|conditional scene transformation|second-order cone relaxation |
| spellingShingle | XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling Dianli jianshe vehicle-road-network coupling|charging station planning|multi-category charging piles|multi-conditional scenario constraints|conditional scene transformation|second-order cone relaxation |
| title | A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling |
| title_full | A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling |
| title_fullStr | A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling |
| title_full_unstemmed | A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling |
| title_short | A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling |
| title_sort | cooperative planning method for multi type charging pile station based on vehicle road network coupling |
| topic | vehicle-road-network coupling|charging station planning|multi-category charging piles|multi-conditional scenario constraints|conditional scene transformation|second-order cone relaxation |
| url | https://www.cepc.com.cn/fileup/1000-7229/PDF/1750819795449-1351325303.pdf |
| work_keys_str_mv | AT xutingtinglongyihuxiaoruilishunqintianxizhangqian acooperativeplanningmethodformultitypechargingpilestationbasedonvehicleroadnetworkcoupling AT xutingtinglongyihuxiaoruilishunqintianxizhangqian cooperativeplanningmethodformultitypechargingpilestationbasedonvehicleroadnetworkcoupling |