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Flexibility-aware framework for efficient planner-initiated siting of data center

计算机科学 数据中心 中心(范畴论) 数据收集 数据挖掘 系统工程 梅德林 运筹学 多样性(控制论) 数据科学
作者
Dongjoo Kim,Lin Dong,Le Xie
出处
期刊:Nature Communications [Nature Portfolio]
标识
DOI:10.1038/s41467-026-72324-9
摘要

Explosive growth in energy-intensive AI data centers is outstripping the pace of power grid interconnection and transmission expansion. While operational flexibility has been proposed to mitigate this stress, existing processes are often reactive and evaluate projects only after they enter a multi-year interconnection queue. To address this, we introduce a planner-initiated siting framework that integrates (i) reliability-gated screening, (ii) system-wide market-impact assessment under standardized flexibility envelopes (firm, pause, and shift), and (iii) entropy-weighted multi-criteria scoring to produce ranked, pre-certified catalogues of interconnection-ready locations. Applied to a synthetic 2000-bus Texas power system, the framework demonstrates that operational flexibility expands the siting frontier by 9-17% at 1 GW and 19-21% at 2 GW compared to firm operation. Median all-hour average prices remain essentially unchanged ($24.32/MWh for the 2 GW cases), and the shift envelope attenuates peak-hour price dispersion by approximately 3.4% with minimal side effects during off-peak hours. Utilizing pre-certified envelopes to bypass major transmission reinforcements, this workflow enables first energization in 12-18 months-a conservative reduction of 3.5-4 years versus the conventional 5-8 year project-led process. This technology-agnostic framework provides a proactive decision-making tool for system operators and regulators to fast-track large flexible loads while preserving grid reliability and market stability. The study presents a planner-initiated framework for siting data centers, integrating reliability screening and market-impact assessment. It expands feasible locations by 9-21% when accounting for operational flexibility and reduces interconnection time by 3.5-4 years, while maintaining stable prices and reducing peak-hour price dispersion.

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