<- Back to list.
Infrastructure planning of intra-city battery swapping stations considering demand uncertainty: a multi-pattern based distributionally robust approach
International Journal of Production Research · Tao Fang Na Li Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, People's Republic of ChinaTao Fang received the B.S. and M.Sc. degrees in industrial engineering from Zhejiang University of Technology, Hangzhou, China, in 2019 and 2022, respectively. He is currently pursuing the Ph.D. degree with the Department of Industrial Engineering, Shanghai Jiao Tong University, Shanghai. His current research interests include algorithm design and optimisation.Na Li received the B.S. degree in mechanical engineering and automation from Xi'an Jiaotong University, Xi'an, China, in 2003, and the Ph.D. degree in industrial engineering from Tsinghua University, Beijing, China, in 2008. She is currently an Associate Professor with the Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China. Her research interests include stochastic modelling in the application areas of production and healthcare delivery systems.
operationsoperations/service-operationsanalyticsanalytics/optimizationsustainability
摘要
本研究针对需求不确定下的城市内换电站基础设施规划问题，提出了一种基于多模式的分布鲁棒优化方法。该方法整合了多种需求分布模式，以应对不确定性并优化换电站的选址与容量决策。研究结果表明，该方法能有效提升规划方案的鲁棒性与经济性，为城市电动汽车补能网络的建设提供了决策支持。