We report findings from a real-world pilot study exploring a novel pricing and control mechanism to coordinate residential EV charging loads. The proposed pricing mechanism presents EV owners with a “menu of deadlines” that offers lower electricity prices the longer they are willing to delay their charging completion times. Given customers’ reported charging preferences, a smart charging system dynamically optimizes the power drawn by EVs in real-time to minimize their collective strain on the grid while ensuring all EVs are charged by their user-requested deadlines. We find that customers allow their charging to be delayed by over eight hours on average. Using this flexibility, the smart charging system reliably eliminates demand spikes by reshaping EV loads to flatten the aggregate load curve. Importantly, customer participation rates remained stable throughout the study, providing evidence that the proposed mechanism is a viable “non-wires alternative” to meet the growing demand for electricity from EVs.

我们报告了一项真实世界试点研究的结果，该研究探索了一种新的定价和控制机制来协调住宅电动汽车充电负荷。拟议的定价机制为电动车车主提供了一个“截止日期菜单”，他们愿意延迟充电完成时间的时间越长，电价就越低。根据客户报告的充电偏好，智能充电系统实时动态优化电动汽车的功率消耗，以最大限度地减少它们对电网的集体压力，同时确保所有电动汽车在用户要求的截止日期前充电。我们发现客户允许他们的充电平均延迟 8 小时以上。利用这种灵活性，智能充电系统通过重塑 EV 负载使总负载曲线变平，从而可靠地消除需求高峰。重要的，