An optimal allocation method for electric vehicle charging stations considering low-carbon transportation

Abstract

Transport-related carbon emissions are a significant contributor to overall urban emissions， yet these emissions are rarely factored into the planning of urban electric vehicle （EV） charging stations. In light of this， an optimal allocation method for EV charging stations is conceived， with specific attention to low-carbon constraints on transportation. The approach begins with the establishment of a regional carbon emissions network based on potential locations for charging stations， taking into account the impact of varying factors such as station location and capacity to develop a model for grid-based carbon emissions from transportation. Moving forward， a comprehensive low-carbon transportation index is formulated， which integrates four key factors： the volume of carbon emissions， the mix of energy sources for transportation， the cleanliness of electric power utilized in transportation， and the utilization rate of charging stations. This index is used to measure the impact that the deployment plan for charging stations has on transportation-related carbon emissions. With the low-carbon transportation index serving as a constraint， a dual-objective optimization model is introduced that respects carbon emissions of transportation while also considering economic viability and the objectives of conserving energy and reducing emissions. Finally， the approach is put to the test through simulation in a specific region， with outcomes indicating that the optimal allocation method， constrained by low-carbon transport considerations， can effectively decrease carbon emissions of transportation in various urban districts without necessitating an increase in investment costs.

Keywords

• low-carbon transportation
• carbon emission
• ev charging station
• optimal allocation