中文摘要：

为减少实时电价不确定性对光伏充电站购电费用的影响,提出了一种基于滚动线性规划的自动需求响应策略。提出了一种基于平均电价与当前电价的滚动电价向量生成方法,有效地将当前电价与未来电价趋势进行了结合;考虑了光伏功率和电动汽车充电需求的随机性和波动性,建立了充电需求滚动可行域模型,并提出了相应的边界计算方法;在滚动电价向量与滚动可行域模型基础上,以充电站购电费用最小为目标建立了滚动优化需求响应模型,并采用线性规划方法进行了求解。该策略采用了变时长全局优化的设计思路和实时的计算方法,有效地结合了全局统筹优化与实时调整的优点。最后通过多组对比仿真实验对算法的有效性和适应性进行了验证。

英文摘要：

In order to reduce impact of real-time price uncertainty on electricity cost of PV charging station, an automatic demand response strategy based on receding linear programing is proposed. A new method for rolling price vector generation is given based on average price and current price. It has good performance in combining current price and future price trends. Rolling feasible charging region model and bound model are established considering randomicity and volatility of PV output and charging demand. Receding demand response model is established based on rolling price vector and rolling feasible charging region model. The objective is to minimize electricity purchasing cost from grid and linear programming method is utilized to solve the problem. Idea of variable length global optimization is adopted in combination with real-time calculation to put advantage of global optimization and real-time regulation together. Finally, validity and adaptability of the algorithm are verified with simulation.