電圧ライドスルー機能を有するデータセンターの受入容量評価
Hosting Capacity Assessment of Data Centers with Voltage Ride-Through Capability in Power Systems (原題)
Pengyu Ren, Wei Sun, Fei Teng
🤖 gxceed AI 要約
日本語
大規模データセンターは電力系統の集中負荷であり、電圧擾乱時の遮断が系統安定性問題を引き起こす可能性がある。本論文は、送電系統故障シミュレーションとデータセンター内部のライドスルーモデルを結合した協調計画フレームワークを提案する。IEEE 118バス系統でのケーススタディにより、定常状態のみの計画では受入容量を過大評価し、UPSコンバータの余裕が受入容量を回復させることを示す。
English
Large data centers are concentrated grid loads whose disconnection during voltage disturbances can threaten system stability. This paper proposes a co-planning framework coupling transmission fault simulation with an internal data center ride-through model. IEEE 118-bus case study shows steady-state planning overestimates hosting capacity, while increased UPS converter headroom restores it. Grid-forming mode offers greater ride-through margin than grid-following.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のデータセンター需要増加と再生可能エネルギー導入拡大に伴い、系統安定性と受入容量の評価は重要。本研究成果は、系統連系要件や計画策定に示唆を与える。
In the global GX context
As data center demand surges globally, grid integration planning must account for dynamic voltage ride-through constraints. This study provides a methodology for co-planning that can inform grid codes and interconnection studies, relevant for regions with high renewable penetration.
👥 読者別の含意
🔬研究者:Provides a framework for co-planning data centers and grid, highlighting VRT as a binding constraint.
🏢実務担当者:Data center developers and grid operators can use insights on UPS sizing and grid-forming mode to optimize interconnection.
🏛政策担当者:Informs grid planning standards and interconnection requirements for large data centers.
📄 Abstract（原文）
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.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2609.03030first seen 2026-09-04 04:10:27 · last seen 2026-09-08 04:10:42
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