发表机构
University of Edinburgh; Imperial College London（爱丁堡大学; 帝国理工学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出考虑电压穿越的数据中心与电网协同规划框架，结合IEEE 118节点算例，表明电压穿越能力是数据中心互联关键约束，不同模式下穿越裕度存在差异，该约束会改变数据中心承载容量及空间分配。
AI 中文摘要
大型数据中心正成为集中式电力电子电网负荷，在电压扰动期间，若其突然断开或切换至现场备用电源，会大幅减少电力系统的需求，可能引发系统级稳定问题。因此，数据中心的互联可行性不仅取决于稳态热和电压限值，还取决于其内部功率调节系统能否在限制用户主动减载的同时维持IT服务。本文提出一种考虑电压穿越（VRT）的数据中心与电网协同规划框架，该框架将输电层面的故障模拟与内部数据中心穿越模型耦合。基于Python的动态模拟生成选定电网故障下的互联点（POI）电压轨迹，所得波形驱动包含IT负荷与制冷负荷动态、直流母线、不间断电源（UPS）响应及变流器视在功率限值的内部模型。IEEE 118节点算例表明，内部VRT能力会成为关键的互联约束：仅稳态规划会高估可行数据中心容量，而增大UPS变流器的裕量可逐步恢复承载能力。在所研究的降阶响应模型下，相同电网故障条件下，网侧变流器的电网形成模式比限流型电网跟随模式具备更大的穿越裕度。结果还显示，VRT约束会显著改变数据中心的总承载容量及其在候选互联节点间的空间分配。
英文摘要
Large data centers are emerging as concentrated, power-electronic grid loads whose abrupt disconnection or transfer to on-site backup supply during voltage disturbances can remove large demand from the power system, and may create a system-level stability problem. Their interconnection feasibility therefore depends not only on steady-state thermal and voltage limits, but also on whether internal power-conditioning systems can maintain IT service while limiting customer-initiated load reduction. This paper presents a voltage ride-through (VRT)-aware data center and grid co-planning framework that couples transmission-level fault simulation with an internal data center ride-through model. Python-based dynamic simulations generate point-of-interconnection (POI) voltage trajectories under selected network faults, and the resulting waveforms drive an internal model incorporating IT and cooling-load dynamics, DC-link, Uninterruptible Power Supply (UPS) response, and converter apparent power limits. The IEEE 118-bus case study shows that internal VRT capability can become a binding interconnection constraint: steady-state planning alone can overestimate feasible data center capacity, whereas increased UPS converter headroom progressively restores hosting capacity. Under the reduced-order response models studied, the grid-forming mode provides greater ride-through margin than the current-limited grid-following mode under the same network fault conditions. The results further show that VRT constraints can materially change both the total hosting capacity of data centers and its spatial allocation across candidate interconnection buses.
