Summary
The high penetration of fast chargers concentrates demand in specific locations and hours, causing feeder overloads and voltage violations. As conventional grid reinforcement — the general solution — is costly and slow to deploy, this study employs the spatial-temporal flexibility of electric vehicles (EVs) to develop a closed-loop optimization system. This system leverages real-time data feedback and price differential strategies to guide users in shifting their charging time or location, thereby converting user heterogeneity into a core resource for grid dispatch and enhancing the flexibility of the distribution system. Empirical results from a district in Shenzhen demonstrate that the proposed mechanism reduces overload mitigation costs by 19.2% compared to traditional uniform pricing schemes, while maintaining grid stability.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | C6_12633_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Serbia |
| Study committees | |
| File size | 2 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
TANG Wenjun - Shenzhen Power Supply Bureau Co.,China Southern Power Grid, Shenzhen, 518000, China; JIN Xiaolong - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China; SU Defeng - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China; LUAN Tian - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China; LIANG Ruiyang - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China; CAO Zixuan - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China; LIANG Shuo - State Key Laboratory of Smart Power Distribution Equipment and System, Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072,China
Keywords
User segmentation, Distribution network, Demand response, Charging guidance, Utility function
