Solid-State Transformer (SST)
The Solid-State Transformer (SST) is a next-generation power conversion solution that directly converts medium-voltage AC to low-voltage DC using advanced power electronics. Designed for AI data centers and other next-generation infrastructure, it combines high efficiency, a compact footprint, modular scalability, and intelligent digital control.
Key Highlights
Standard Specifications
| Parameter | Specification |
|---|---|
| Product Type | Solid-State Transformer (SST) |
| Input | Medium-Voltage AC, 6 kV – 35 kV |
| Output | Low-Voltage DC, 400 V / 800 V / up to 1500 V |
| Efficiency | >97% |
| Modular Capacity Range | 1.5 MW – 3 MW per unit |
| System Scalability | Up to 10 MW+ |
| Redundancy Architecture | N+1 or higher |
| Power Quality | THDi <2% | Power Factor ≥0.99 |
| Deployment Models | Containerized / Indoor / Skid-mounted |
| Lead Time | 18–22 weeks |
Applications
AI Data Centers
Efficient DC power infrastructure for high-density AI computing environments.
EV Fast Charging
Efficient power conversion for megawatt-level charging infrastructure.
Renewable Energy
Integration with solar, energy storage, and hybrid power systems.
AC / DC Hybrid Systems
Flexible integration for modern AC and DC power architectures.
Solid-State Transformers in AI Data Center Power Infrastructure
Solid-state transformers (SSTs) offer advanced power conversion capabilities for next-generation AI data center electrical infrastructure. By converting medium-voltage AC into low-voltage DC, SST technology can support DC-based power architectures and modular power distribution strategies. SSTs may help reduce conversion stages in suitable system designs while providing advanced control and monitoring capabilities. Their application depends on equipment compatibility, electrical requirements, and the overall facility power architecture. Discover how SST technology fits within integrated ai-data-center-power-solutions →
Need More Information?
Contact our team to discuss the right SST configuration for your application.