标题： 工作场所电动汽车充电站的联合价格和功率MPC以降低峰值功率 显示英文标题

标题： Joint Price and Power MPC for Peak Power Reduction at Workplace EV Charging Stations

摘要： 需求电价通常构成商业电动汽车充电站运营商电费的重要部分。 本文探讨了在联合价格和功率优化框架下减少工作场所电动汽车充电站峰值功率消耗的控制方法。 我们优化了一组价格选项，以激励用户选择可调节的充电服务。 利用此框架，我们提出了几种解决方案，以实现需求电价和整体运营商成本的降低。 通过蒙特卡洛模拟，我们发现使用时间序列预测的模型预测控制可以显著降低站点运营商成本。 显示英文摘要

摘要： Demand charge often constitutes a significant portion of electricity costs for commercial electric vehicle charging station operators. This paper explores control methods to reduce peak power consumption at workplace EV charging stations in a joint price and power optimization framework. We optimize a menu of price options to incentivize users to select controllable charging service. Using this framework, we propose several solutions to achieve a reduction in both demand charge and overall operator costs. Through a Monte Carlo simulation, we find that model predictive control using a time series forecast can significantly reduce station operator costs.