结合实时交通路网的电动汽车充电站规划方法
By combining real-time traffic network methods, a planning model for electric vehicle charging stations was established, which solved the problem of accurate prediction of electric vehicle charging load, realized the optimized configuration of electric vehicle charging stations, and improved the safety and economy of the power grid.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- FUZHOU UNIV
- Filing Date
- 2022-08-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for predicting electric vehicle charging load lack data accuracy and timeliness, failing to accurately represent real-time travel patterns of electric vehicles and affecting the accuracy of charging station site selection and capacity planning.
By combining real-time traffic network, extracting the urban traffic network topology, establishing a real-time vehicle speed-flow model, inversely calculating the OD matrix, calculating the electric vehicle travel probability matrix, characterizing travel trajectories, constructing a spatiotemporal prediction model for charging load, and optimizing the location and capacity of charging stations based on the NSGA-III algorithm.
It enables accurate prediction of electric vehicle charging load demand and optimized configuration of charging stations, improving the safety, reliability and economy of power distribution network planning, and adapting to the needs of large-scale electric vehicle grid connection.
Smart Images
Figure CN115292866B_ABST