Optimal deployment of public charging stations for plug-in hybrid electric vehicles |
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| Institution: | 1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University;2. State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University;3. Division of City and Transportation Planning, Lin Tung-Yen and Li Guo-Hao Consultants Shanghai Limited;4. Centre for Transport Studies, Imperial College London;5. Department of Civil Engineering, King Mongkut''s University of Technology Thonburi;1. Department of Industrial and Systems Engineering, University at Buffalo, SUNY, USA;2. Department of Industrial and Management Systems Engineering, University of South Florida, USA |
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| Abstract: | This paper develops an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs. The modeling framework is then applied to determine an optimal allocation of a given number of public charging stations among metropolitan areas in the region to maximize social welfare associated with the coupled networks. The allocation model is formulated as a mathematical program with complementarity constraints, and is solved by an active-set algorithm. Numerical examples are presented to demonstrate the models and offer insights on the equilibrium of the coupled transportation and power networks, and optimally allocating resource for public charging infrastructure. |
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