考虑氢能与电能需求预测的高速公路电-氢综合设施选址优化方法OA

The coordinated planning of electric-hydrogen integrated supply facilities along highways is key to supporting the large-scale development of electric vehicles(EVs)and hydrogen fuel cell vehicles(HFCVs).However,it currently faces dual challenges:the prediction of electricity and hydrogen demand has not fully coupled traffic flow with user behavior,resulting in limited spatio-temporal accuracy;meanwhile,the siting and capacity planning of charging stations and hydrogen refueling stations are often carried out independently,lacking unified coordinated optimization,making it difficult to balance system economy and service reliability.To address these issues,this study first constructs a refined demand forecasting model that integrates dynamic vehicle stock prediction by vehicle type,the stochastic arrival and initial energy state of vehicles,and multi-scenario user refueling decision behavior,achieving spatio-temporal dynamic estimation of electricity and hydrogen demand.Second,a joint location optimization model for electric-hydrogen hybrid facilities is established with the objective of minimizing the annual average comprehensive cost.Finally,based on an actual highway case in East China,it is verified that the proposed method can adapt to different demand scenarios and achieve collaborative optimization of the layout and capacity of charging piles and hydrogen refueling facilities.