Strengthening Data Center Operations Using Grid-Forming Battery Energy Storage as a Line-Interactive Uninterruptible Power Supply

The rapid growth of hyperscale data centers, driven by rising demand for artificial intelligence workloads, presents new challenges for grid reliability, resiliency, and clean-energy goals. These facilities impose significantly higher and more complex demands on power systems, with AI-related workloads causing fast, millisecond-scale load fluctuations known as pulsating loads. Such behavior can strain the bulk power system, complicating energy management, interconnection, and local generation planning. To address this problem, this paper investigated the use of energy storage systems to manage these high-frequency load dynamics while maintaining continuous data center operation. Through a detailed analysis of AI load characteristics, this paper presents an electromagnetic transient study evaluating the performance of a grid-forming battery energy storage system for data center applications in both grid-connected and islanded modes, including transitions between these operating states. The proposed approach treats the battery energy storage system as a medium-voltage, line-interactive uninterruptible power supply while simultaneously smoothing AI-driven load transients at the point of interconnection. Results show that the proposed architecture can significantly attenuate fast power fluctuations, improve voltage and power quality at the grid interface, and enhance overall data center reliability.

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2026-02-01
DOI
https://doi.org/10.1016/j.ijepes.2026.111638
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strengthening Data Center Operations Using Grid-Forming Battery Energy Storage as a Line-Interactive Uninterruptible Power Supply

Zhuoning Liu, Samaneh Morovati, Joshua Piruzza, Pasi Taimela et al.
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
article

Strengthening Data Center Operations Using Grid-Forming Battery Energy Storage as a Line-Interactive Uninterruptible Power Supply

Zhuoning Liu, Samaneh Morovati, Joshua Piruzza, Pasi Taimela, Amin Zamani, David Guo, Arian Azizi
article en

Abstract

The rapid growth of hyperscale data centers, driven by rising demand for artificial intelligence workloads, presents new challenges for grid reliability, resiliency, and clean-energy goals. These facilities impose significantly higher and more complex demands on power systems, with AI-related workloads causing fast, millisecond-scale load fluctuations known as pulsating loads. Such behavior can strain the bulk power system, complicating energy management, interconnection, and local generation planning. To address this problem, this paper investigated the use of energy storage systems to manage these high-frequency load dynamics while maintaining continuous data center operation. Through a detailed analysis of AI load characteristics, this paper presents an electromagnetic transient study evaluating the performance of a grid-forming battery energy storage system for data center applications in both grid-connected and islanded modes, including transitions between these operating states. The proposed approach treats the battery energy storage system as a medium-voltage, line-interactive uninterruptible power supply while simultaneously smoothing AI-driven load transients at the point of interconnection. Results show that the proposed architecture can significantly attenuate fast power fluctuations, improve voltage and power quality at the grid interface, and enhance overall data center reliability.

International Journal of Electrical Power & Energy SystemsVol. 175
Openalex Percentile: Top 60%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.