データセンターにおける空間移転可能負荷に基づく仮想予備力サービスの設計
Design of Virtual Reserve Services Based on Spatially Transferable Loads in Data Centers (原題)
Zuo J, Lu J, Feng H, Wang Q, Wang Y, Du W, Zeng Z, Yang P
🤖 gxceed AI 要約
日本語
再生可能エネルギーの導入拡大に伴い、地域間の予備力共有は送電混雑と高い調達コストに直面している。本論文は、データセンターの空間移転可能負荷を活用した仮想予備力サービス枠組みを提案する。移転能力評価モデルと地域間の電源・データセンター連携の予備力最適化モデルを構築し、入札と段階的価格設定を含むメカニズムを設計する。ケーススタディにより、コスト削減と高コスト地域の支援効果を示す。
English
As renewable penetration rises, cross-regional reserve sharing faces congestion and high costs. This paper proposes a virtual reserve service framework using spatially transferable loads in data centers, with migration capability assessment and joint optimization models. A cross-regional consortium mechanism with bidding and tiered pricing is designed. Case studies show cost reduction and support for high-cost regions.
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
日本の電力システムでは再生可能エネルギー導入拡大に伴い、需給調整力の確保が課題となっている。データセンターの負荷移転を活用した仮想予備力は、日本における需給調整市場や容量市場の新たなリソースとして注目される可能性がある。
In the global GX context
Globally, as renewables grow, reserve procurement becomes more challenging. This paper offers a novel mechanism using data center load migration for cross-regional reserve sharing, relevant to power system operators and market designers integrating demand-side flexibility.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework for cross-regional reserve sharing using data center load migration, relevant for power system and energy economics research.
🏢実務担当者:Data center operators and utilities can explore virtual reserve provision as a new revenue stream and grid service.
🏛政策担当者:Highlights the potential of demand-side flexibility from data centers for grid reliability, informing market design and grid planning policies.
📄 Abstract（原文）
With the increasing penetration of renewable energy, cross-regional reserve sharing faces transmission congestion and high reserve procurement costs. This paper proposes a virtual reserve service framework based on spatially transferable loads in data centers. First, a data center migration capability assessment model and a cross-regional generator–data center joint reserve capacity optimization model are established to characterize the multi-constraint mechanism of virtual reserve provision. Second, a cross-regional virtual reserve consortium (CRVRC) mechanism is designed, incorporating joint quantity–price bidding and tiered pricing. Curve aggregation and tier-based allocation are used to coordinate reserve procurement between data center operators and generation operators. Finally, three representative case studies are constructed. The results show that the proposed method can integrate geographically distributed low-cost reserve resources, reduce reserve procurement costs, and support high-cost regions by coordinating data center task migration.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202608.2253.v1first seen 2026-09-02 04:34:15 · last seen 2026-09-14 04:19:32
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