A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization.
CoRR(2023)
摘要
With the electrification in freight transportation, the availability of
fast-charging facilities becomes essential to facilitate en-route charging for
freight electric vehicles. Most studies focus on planning charging facilities
based on mathematical modeling and hypothetical scenarios. This study aims to
develop a data-driven integrated framework for fast-charging facility planning.
By leveraging the highway traffic data, we extracted, analyzed, and compared
spatial and temporal flow patterns of general traffic and freight traffic.
Furthermore, graph theory-based network evaluation methods are employed to
identify traffic nodes within the highway network that play a significant role
in accommodating charging infrastructure. A candidate selection method is
proposed to obtain potential deployment locations for charging stations and
to-go chargers. Based on this, we present a multi-period bi-objective
optimization model to provide optimal solutions for the placement of charging
facilities, with the objectives of minimizing investment cost and maximizing
demand coverage. The case study on the Amsterdam highway network shows how
existing traffic data can be used to generate more realistic charging demand
scenarios and how it can be integrated and evaluated within the optimization
framework for facility planning. The study also shows that the proposed model
can leverage the potential of early investment in improving the charging demand
coverage.
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关键词
Bi-objective Optimization,Multi-period Optimization,Spatial Patterns,Optimal Model,State Of Charge,Electric Vehicles,Shipment,Hypothetical Scenarios,Traffic Data,Highway Network,Charging Demand,Total Cost,Supermarket,Shortest Path,Role Of Networks,Road Network,Traffic Flow,Real Networks,Betweenness Centrality,Degree Centrality,Candidate Locations,Point Of Interest Data,Planning Horizon,Fast Charging,Traffic Demand,Evening Peak,Pareto Optimal Solutions,Facility Layout,Number Of Facilities,Market Penetration
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