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Research paper2026 IEEE Power & Energy Society General Meeting (PESGM)2026

Discerning Real-World Data Center Load Behavior and the Need for Long Term Data Analysis

Chetan MishraDominion Energy Bikal PudasainiDominion Energy Katelynn A. VanceDominion Energy TJ PurcellDominion Energy Jaime Delaree Jr.Dominion Energy Kevin D. JonesDominion Energy Luigi VanfrettiRensselaer Polytechnic Institute
Written by Dominion Energy. The full paper is available from the publisher.
Abstract

This paper analyzes unforeseen power swings emerging from a substation of a data center load. Because the measured response was noticed after a local line outage, at first glance, it mimicked a stability issue. However, analyzing the synchrophasor data over extended periods reveals underlying behavior akin to load cycling and not system stability issues. The difficulties in characterizing oscillatory behavior pose new challenges and underline the need for longer term analysis tools and techniques as data center loads continue to be integrated into Dominion Energy’s grid.

Abstract reproduced from Chetan Mishra, Bikal Pudasaini, Katelynn A. Vance, TJ Purcell, Jaime Delaree Jr., Kevin D. Jones, Luigi Vanfretti, “Discerning Real-World Data Center Load Behavior and the Need for Long Term Data Analysis,” 2026 IEEE Power & Energy Society General Meeting (PESGM), 2026. doi.org/10.1109/PESGM58988.2026.11693766 ↗

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Figure 11. Long Term Historical Data Analysis for Data Center Load 2 - Current Magnitude SpectrogramFrom Mishra et al., 2026 IEEE PES General Meeting. Used with permission.
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2026 IEEE Power & Energy Society General Meeting (PESGM). Access may require a subscription or purchase.

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