India’s data center capacity is projected to grow significantly by 2030, with estimates ranging from 4–5 GW (conservative) to 12–17 GW (aggressive). This paper uses an 8–10 GW scenario representing AI-accelerated growth for analytical purposes. This expansion is part of a global surge that will see data center electricity consumption double from 415 TWh to 945 TWh by 2030 [1], introducing significant challenges for a grid already managing ambitious 500 GW non-fossil energy targets.

This white paper reviews technical literature on data center-grid interactions, examining steady-state loading patterns, dynamic stability implications of UPS fault-ride-through behavior, and AI workload variability. Drawing on international case studies from Ireland (22% of electricity from data centers), Texas (226 GW interconnection queue), Singapore (efficiency mandates), and France (DCFlex pilot), we identify key areas requiring India-specific study.

The analysis suggests that without proactive grid integration planning, concentrated data center growth could contribute to localized voltage and frequency challenges during grid disturbances —as illustrated by the August 2024 high-frequency events reaching 50.39 Hz during solar surplus periods.

Beyond the technical dimensions—which are tractable through established power engineering methods once validated load models are developed—the paper identifies institutional challenges that are less well understood and potentially more consequential. At projected scale, data centers are positioned to reshape procurement through open access and captive generation, creating cross-subsidy erosion and stranded infrastructure risk for distribution utilities. RE procurement claims risk certificate trading without atmospheric benefit unless additionality criteria are enforced.

We present a research agenda and framework for developing appropriate technical and institutional standards through systematic study and stakeholder engagement.

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