SYSYMay 14

Flexibility-Aware Framework for Efficient Planner-Initiated Siting of Data Center

arXiv:2605.1471477.4
AI Analysis

For system operators and regulators, this framework provides a proactive tool to fast-track large flexible loads while preserving grid reliability and market stability.

The paper introduces a planner-initiated siting framework for data centers that uses reliability screening, market-impact assessment under flexibility envelopes, and multi-criteria scoring to produce pre-certified interconnection locations. Applied to a synthetic 2,000-bus Texas system, it expands the siting frontier by 9-21% and reduces energization time to 12-18 months versus 5-8 years.

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 2,000-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 (USD 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.

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