考虑用车紧急度的电动汽车充电引导及协调补偿策略

Electric vehicle charging guidance and coordinated compensation strategy considering vehicle urgency

电动汽车(EV)车主在选择充电站时,由于对旅行成本和时间成本存在不同偏好,易造成一些站点拥挤,而其他站点闲置。此外,急需充电的车主无法获得优先,导致满意度极低。为此,基于交通路况对不同紧急充电需求的车主进行充电引导,通过协调补偿策略为具有紧急充电需求车主提供优先充电,并建立不同紧急充电需求的EV充电引导及协调补偿优化模型。采用连续平均算法和CPLEX求解器求出最优路径解,再结合基于参考点的第三代非支配遗传算法求解模型。以Nguyen-Dupius路网为例验证模型,并进行灵敏度分析,结果表明,尽管紧急充电需求引导及协调补偿优化模型会增加总旅行成本,但是车主的平均满意度明显升高,针对不同车主进行协调补偿,更体现协调补偿策略的有效性。

When electric vehicle(EV)owners choose charging stations,due to different preferences for travel cost and time cost,it is easy to cause some stations to be crowded,while others remain underutilized.Additionally,EV owners with urgent charging demands cannot get priority,resulting in extremely low satisfaction levels.To address this,based on the traffic conditions,the owners with different urgent charging demands are guided to charge,the priority charging is provided for the owners with urgent charging demand through the coordinated compensation strategy,and the EV charging guidance and coordinated compensation optimization models for different urgent charging demands are established.The optimal path solution is obtained by method of successive algorithm(MSA)and CPLEX solver,and the model is solved by combined with non-dominated sorting genetic algorithm(NSGA-Ⅲ)based on reference point.The Nguyen-Dupius road network is taken as an example to verify the model,and the sensitivity analysis is carried out.The results show that although the urgent charging demand guidance and coordinated compensation optimization model will increase the total travel cost,the average satisfaction of the owner is significantly increased.Coordinated compensation for different owners reflects the effectiveness of the coordinated compensation strategy.