浙江电力2024，Vol.43Issue(6)：69-79,11.DOI:10.19585/j.zjdl.202406008
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 low-carbon transportation
摘要
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 poten-tial locations for charging stations,taking into account the impact of varying factors such as station location and ca-pacity 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 utili-zation rate of charging stations.This index is used to measure the impact that the deployment plan for charging sta-tions has on transportation-related carbon emissions.With the low-carbon transportation index serving as a con-straint,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 ap-proach 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 transpor-tation in various urban districts without necessitating an increase in investment costs.关键词
低碳交通/碳排放/电动汽车充电站/优化配置Key words
low-carbon transportation/carbon emission/EV charging station/optimal allocation引用本文复制引用
宣羿,樊立波,孙智卿,蒋建,陈铎文,邓凯,王梦瑶..考虑低碳交通的电动汽车充电站优化配置方法[J].浙江电力,2024,43(6):69-79,11.基金项目
国网浙江省电力有限公司科技项目(5211HZ220001) （5211HZ220001）
国家自然科学基金(51907114) （51907114）
