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Enabling the grid-interacting data center

Power Conversion Solutions for Data Centers

Lower carbon footprint, improve power reliability, cut costs, and support the grid, building a resilient energy foundation for next‑generation AI data centers.

Data center energy challenges

With AI fueling one of the steepest increases in electricity demand, data centers must meet strict power quality requirements while managing grid disturbances, interconnection constraints, and rapid changes in power demand.
Load smoothing
Strong power load fluctuations from data centers, especially AI factories, can exceed generator design limits and increase instabilities such as voltage flicker and frequency excursions.
Voltage ride-through (VRT) support
Data Center UPSs are designed to trip rapidly during faults to protect servers, but this creates a new risk: large, coordinated load loss to the utility system. 
Emergency power supply
During grid disturbances or grid outages, when voltage ride-through (VRT) limits are surpassed, data center loads must be protected and kept operating. 
Interconnection requirements
Grid operators are starting to require specific capabilities for connecting large loads and data centers to the grid.
Load shaving
Meeting data center energy needs usually requires system upgrades that can take years to approve, yet data centers need reliable power now.
DERs integration
Access to utility power is becoming limited, and data centers need low-carbon energy to achieve sustainability targets.

Versatile energy delivery to scale AI factories

Hitachi Energy provides smart, safe, scalable, and sustainable data center solutions that strengthen power resilience, reduce outage risk, and ensure continuous operations while supporting the transition to a carbon-negative business future.at.

Power Conversion Solutions for Data Centers

Hitachi Energy’s advanced grid-to-rack approach uses high-performance power converters to enable 800 VDC rack configurations and streamline power delivery from the grid to the server. Combined with a BESS, it reduces energy losses, improves sustainability, and accelerates deployment of hyperscale AI facilities.