Robo-Chargers：用于缓解超时占用的机器人充电系统优化运行与规划
Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay
AI总结：
针对公共充电桩超时占用问题，提出配备机器人充电桩的充电站优化运行与规划模型，通过技术经济分析验证其在高超时占用场景下的优势及实时应用鲁棒性。
摘要：
充电基础设施的可用性是插电式电动汽车用户的主要关切。如今，数量有限的公共充电桩常被已充满电的车辆占用，这种被称为超时占用（overstay）的现象阻碍了其他车辆获取充电资源。本文分析了一种应对超时占用挑战的充电设施创新方案，其核心思路是采用Robo-chargers（机器人充电桩）——可在充电站中移动、主动为插电式电动汽车插拔充电枪的自动化充电桩。我们为同时配备Fixed-chargers（固定充电桩）和Robo-chargers的充电站构建了运行模型，通过识别车辆-充电桩分配的组合特性、充电动力学过程以及用户等待行为，可求解得到最优调度方案。随后，我们以运行模型为嵌套子模块，开发了规划模型用于指导两类充电桩的经济性投资，以最小化总拥有成本；规划阶段还进一步考虑了充电需求波动与服务容量要求。本文提供了系统性的技术经济方法，用于评估特定应用场景下引入Robo-chargers是否具备收益。基于真实数据的全面敏感性分析凸显了Robo-chargers的优势，尤其在超时占用严重的场景中效果显著。验证结果还表明，在存在合理模型失配、不确定性与扰动的情况下，该运行模型具备可求解性，规划结果在实时应用中具备鲁棒性。
英文摘要：
Charging infrastructure availability is a major concern for plug-in electric vehicle users. Nowadays, the limited public chargers are commonly occupied by vehicles which have already been fully charged. Such phenomenon, known as overstay, hinders other vehicles' accessibility to charging resources. In this paper, we analyze a charging facility innovation to tackle the challenge of overstay, leveraging the idea of Robo-chargers - automated chargers that can rotate in a charging station and proactively plug or unplug plug-in electric vehicles. We formalize an operation model for stations incorporating Fixed-chargers and Robo-chargers. Optimal scheduling can be solved with the recognition of the combinatorial nature of vehicle-charger assignments, charging dynamics, and customer waiting behaviors. Then, with operation model nested, we develop a planning model to guide economical investment on both types of chargers so that the total cost of ownership is minimized. In the planning phase, it further considers charging demand variances and service capacity requirements. In this paper, we provide systematic techno-economical methods to evaluate if introducing Robo-chargers is beneficial given a specific application scenario. Comprehensive sensitivity analysis based on real-world data highlights the advantages of Robo-chargers, especially in a scenario where overstay is severe. Validations also suggest the tractability of operation model and robustness of planning results for real-time application under reasonable model mismatches, uncertainties and disturbances.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
