考虑低碳交通的电动汽车充电站优化配置方法

An optimal allocation method for electric vehicle charging stations considering lowcarbon transportation

交通运输产生的碳排放是城市碳排放的主要来源之一,而城市充电站规划中较少考虑交通碳排放因素。对此,提出了一种考虑低碳交通约束的电动汽车充电站优化配置方法。首先,基于充电站候选点划分区域碳排放测算网格,在此基础上考虑充电站位置、容量等因素的影响并建立网格化交通碳排放模型;然后,建立综合考虑碳排放量、交通能源结构、交通电力能源清洁度以及充电站使用率四个因素的低碳交通指标体系,量化分析充电站规划方案对交通碳排放的影响;之后,以低碳交通指标为约束条件,兼顾经济性和节能减排,建立考虑交通碳排放因素的双目标优化配置模型;最后,通过某地区案例对所提方法进行仿真验证,结果表明,考虑低碳交通约束的优化配置方法可以在不增加投资成本的同时有效降低城市各区域交通碳排放水平。

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.