电动汽车光伏充电站网络鲁棒分时定价优化

Robust Time-of-use Pricing for the Photo-Voltaic Electric Vehicle Charging Station Network

针对用户需求的随机性和光伏发电的不确定性对电动汽车光伏充电站运营带来的挑战,建立了考虑需求时空分布不均衡的随机鲁棒分时定价模型。研究了光伏充电站网络的联合定价策略,以解决充电需求和光伏发电量在时空分布上的不匹配问题。使用多项Logit模型刻画了用户充电行为,采用分布鲁棒优化方法刻画了光伏发电不确定性。在将该随机鲁棒定价模型等价转化为二阶锥规划模型的基础上,提出了精确算法和两阶段启发式算法对其进行求解。利用现实数据验证了算法的有效性,同时验证了分时定价策略相比使用固定定价策略在平衡充电供需、引导错峰充电、提高光伏发电利用率和充电网络收益等方面的优势。

The Photo-Voltaic(PV)Electric Vehicle(EV)charging station network faces the challenge of matching the uncertain demands and supplies.A robust time-of-use pricing model was presented to handle the unbalanced spatial-temporal demand distribution for making the full use of the PV generation.The multinomial Logit model was utilized to characterize the charging demands while the distributionally robust optimization method was adopted to hedging against the uncertainty in demands and supplies.By reformulating the complex non-convex problem into an equivalent secondorder cone programming problem,both exact algorithms and a two-stage heuristic algorithm were proposed to solve the original problem efficiently.Experiments on real-world data validated the efficiency of the algorithms and the effectiveness of the proposed robust time-of-use pricing model.The proposed time-of-use pricing strategy can balance the spatial-temporal distribution of the charging demands by incentivizing the users to charge the battery during the peak period of PV generation,and thus increase the utilization of PV generation and the revenue of PV-EV charging station network.