Location selection model for urban public charging stations based on static charging demands
To promote the scientific development of new energy transportation infrastructures, this study focuses on the research of optimizing the site selection for urban public charging stations. Firstly, considering the strong correlation between charging and parking behavior, the concept of static charging demand is introduced. Subsequently, a set of alternative locations is determined by combining the distribution of urban parking facilities and safe distance requirements. An optimized model for site selection is then constructed to meet the surrounding charging needs, while adapting to the overall development trends of new energy vehicles in the central urban area, ultimately maximizing the benefits for investment entities. Moreover, the introduction of Voronoi diagrams is utilized to evenly divide the spatial coverage between alternative locations and simplify the constraints of the origi-nal model. A "two-stage" algorithm is designed to lower the feasible domain dimension and enhance so-lution iteration efficiency. Finally, the case study is conducted in the core area of Shenyang within the Third Ring Road. Results demonstrate that optimized location model for urban public charging sta-tions, based on static charging demand, prioritizes the placement of public charging stations in areas with high static charging demand. This approach increased charging revenue by over 12.7％ compared to traditional P-Center and Location Set Covering models under the given parameters. Furthermore, the broader coverage of charging services assists in fostering the development of new energy vehicles and guiding the greening of urban traffic.
万方数据
维普
