AI data centers are redefining the role of uninterruptible power supply (UPS) and battery systems. No longer used only as a backup during outages, modern UPS systems, when paired with batteries, can actively manage the rapid fluctuations caused by AI workloads. AI power loads can fluctuate dramatically within milliseconds, requiring operators to implement load-smoothing capabilities to protect critical power infrastructure and prevent grid instability. These grid-friendly capabilities also help avoid penalties that data centers may incur for grid instability.
In our previous blog post, we discussed the changing role of the UPS in the data center. As AI continues to scale, data centers are evolving into gigawatt-scale campuses to support AI workloads. At the same time, they are fueling conversations about the impact of these massive loads on the grid, including longer interconnection timelines, localized capacity constraints, and increased sensitivity to power quality and stability. AI data centers’ hunger for power even prompted the Federal Energy Regulatory Commission (FERC) to intervene, instructing grid operators to revise tariff rules to penalize data centers that affect grid stability.
AI workloads are dynamic, leading to dramatic fluctuations in power load. This makes it more complex for grids to support them, so utilities are looking for data center operators to help maintain grid stability and power quality while minimizing expensive network upgrades. These challenges show that gaining access to power isn’t the only issue operators face; they also need to help stabilize the grid.
UPS architectures that protect the grid
That’s why AI data center operators have started leveraging battery- backed UPS architectures with load-smoothing features. UPSs are designed to handle AI workloads in tandem to manage wild AI load fluctuations, making them an active central component in AI data centers. Traditionally, UPSs have served as a backup, kicking in during an outage and providing power long enough for diesel-fueled generators to start up.
Now, features such as load smoothing and fault ride-through (FRT) are helping data centers become better grid participants, not just more resilient facilities. FRT keeps UPSs connected and operating through voltage dips or transient faults, rather than disconnecting immediately, thereby avoiding additional instability. These capabilities use intelligent software and battery systems to even out the draw from the grid, helping to prevent instability.
Battery charging and discharging
When AI demand increases, UPSs draw energy from batteries to supply the extra power, and when demand decreases, the excess energy charges the batteries. This operation creates a smoother, more predictable power supply. Backup battery systems play a critical auxiliary role for the UPS when load smoothing is necessary. In milliseconds, AI training clusters and Large Language Model workloads can cause power loads to spike up to 150%. Just as quickly, they can cause a 130% dip. Batteries charge and discharge quickly to absorb these fluctuations and avoid impacting the grid.
The grid is spared rapid changes because the batteries kick in, discharging when extra power is needed and charging when sudden dips occur. Without smoothing, these wild fluctuations would spread to the grid, causing instability. If power lines become overloaded, the grid is programmed to shut down to prevent damage. In some cases, this could trigger a cascading effect, leading to widespread outages across large geographical areas. For operators, this means more resilient operations today and a clearer path to future AI growth. By minimizing their impact on the grid, data centers can better support utility partnerships, accelerate expansion plans, and scale AI capacity without compromising grid stability.
Backup battery systems engineered for AI
The backup battery systems that help UPSs with load smoothing have been engineered to operate at a partial state of charge (PSOC), allowing them to charge and discharge frequently without affecting the battery’s lifespan. Operating within a controlled PSOC window enables appropriately designed Lithium-Ion battery systems to support frequent charge and discharge events while preserving the battery lifetime.This is one of the capabilities of modern battery technologies that make continuous load smoothing practical for AI environments.
Schneider Electric uses lithium-ion batteries with this capability. They work in tandem with Galaxy V UPS systems, which are designed to support grid-friendly AI loads. Advances in Lithium-ion technology enable support for the frequent charge and discharge cycles for dynamic AI workloads.
As AI factories scale towards gigawatt levels, success will depend not only on securing power but also on managing data center power consumption. The next generation of AI infrastructure will need to be designed with both the data center and the grid in mind, making battery-supported UPS architectures an increasingly important part of future-ready AI factories.
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