A multi-period optimization model for the deployment of public electric vehicle charging stations on network
| Autor: | Yongxi Huang, Scott J. Mason, Shengyin Li |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
Mathematical optimization Engineering business.product_category Linear programming Heuristic (computer science) Location model business.industry 05 social sciences Transportation 010501 environmental sciences 01 natural sciences Computer Science Applications Charging station 0502 economics and business Automotive Engineering Genetic algorithm Electric vehicle Benchmark (computing) business Integer programming Simulation 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | Transportation Research Part C: Emerging Technologies. 65:128-143 |
| ISSN: | 0968-090X |
| DOI: | 10.1016/j.trc.2016.01.008 |
| Popis: | A multi-period multipath refueling location model is developed to expand public electric vehicle (EV) charging network to dynamically satisfy origin–destination (O–D) trips with the growth of EV market. The model captures the dynamics in the topological structure of network and determines the cost-effective station rollout scheme on both spatial and temporal dimensions. The multi-period location problem is formulated as a mixed integer linear program and solved by a heuristic based on genetic algorithm. The model and heuristic are justified using the benchmark Sioux Falls road network and implemented in a case study of South Carolina. The results indicate that the charging station rollout scheme is subject to a number of major factors, including geographic distributions of cities, vehicle range, and deviation choice, and is sensitive to the types of charging station sites. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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