Optimal location planning of electric bus charging stations with integrated photovoltaic and energy storage system |
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| Authors: | Xiaohan Liu Xiaoyue Liu Xingying Zhang Yirong Zhou Jianli Chen Xiaolei Ma |
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| Affiliation: | 1. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing, China;2. Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, Utah, USA;3. National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA), Beijing, China |
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| Abstract: | This study presents a novel bus charging station planning problem considering integrated photovoltaic (PV) and energy storage systems (PESS) to smooth the carbon-neutral transition of transportation. This paper illustrates a two-stage stochastic programming model capturing the uncertainty of PV power outputs and designs a step-wise solution approach in which a conventional charging station location problem is solved in the first step and an improved L-shaped algorithm is developed in the second step to determine charging station locations with PESS. The numerical experiments indicate that the step-wise solution approach can provide high-quality solutions within acceptable computational time. A case study is performed using a real-world transit network in Beijing, China, with 34 bus routes and 15 candidate bus charging stations. Compared with the benchmark model, both recharging cost and carbon emission are reduced considerably. This paper provides novel insights into the development of integrated transportation and renewable energy systems. |
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