电动出租车专用分散式和集中式快充设施联合投资优化

A Joint Optimized Investment Decision of Electric Taxis’ Dedicated Decentralized and Centralized Fast-Charging Stations

提出一种电动出租车专用快充设施投资优化模型,提高电网及充电设施利用率,减轻充电对出租车运营影响。采用Voronoi图理论和带容量限制的排队论,仿真电动出租车充电需求在分散式快充站与集中式快充站之间的转移。计及两类快充站间的充电需求转移,以出租车运营者因充电行为附加支出的耗时、耗能成本,充电设施投资成本,充电站到电网接入成本的总和最低为目标,考虑出租车、快充站点以及电网三方面的运营约束,建立两类快充站的联合优化模型,并提出求解算法。以某城市电动出租车保有量达到1000辆为规划场景,算例表明模型通过优化出租车专用分散式快充站和集中式快充站投资配比,能有效减少出租车电能补给途中的耗时、耗能成本。

An optimal planning model for electric taxis’dedicated fast-charging stations was proposed to improve the utilization rate of the power grid and charging facilities,and mitigate the impact on taxis’operation time.The Voronoi diagram and queuing theory with capacity limitation were introduced to simulate the charging requirement transfer between decentralized and centralized charging stations.On this basis,with the operation constraints of taxis,charging stations and power grid,the joint optimized model was established to minimize the total cost,including the additional time and energy cost for drivers’charging behavior,investment cost for fast-charging and grid connection facilities.And a solution algorithm was proposed to solve the problem.Numerical results came from the case study that a city with 1000 electric taxis,show that the model can reduce time and energy cost of taxi drivers due to fast charging by optimizing the investment ratio of the centralized and decentralized stations.