基于遗传算法的电动公交车换电站选址模型

Location Model of Electric Bus Swap Station Based on Genetic Algorithm

电动汽车的使用有助于减少交通领域的温室气体排放。随着电动汽车的推广,需同步建设相应的充电设施。针对电动公交运营系统的充电需求,设计了一种选址模型用于优化换电站的选址,使得服务电动公交车的换电站的总成本最低。选址模型中考虑了实际的公交线路运营状况、换电站的建造成本和电网运行,并采用遗传算法作为选址模型的优化工具。通过算例分析,选址模型能有效地获得最优或局部最优的换电站选址位置。

The introduction of electric vehicles could help to reduce the greenhouse gas in the transportation sector.With the promotion of electric vehicles,the corresponding charging infrastructures need to be constructed simultaneously.Aiming at the charging demand of electric bus transport system,in this paper,a location model is designed to optimize the allocation of battery swapping stations to minimize the total cost of swap stations serving electric buses.In the proposed localization model,the operation of bus lines in real life,the construction cost of battery swapping stations and the operation of electrical grid are considered.Through the analysis of the example,the location model can effectively obtain the optimal or local optimal location of the substation.