Sequential Operating Simulation of Solid State Transformer-Driven Next-Generation 800 VDC Data Center
Jian Xu, Xinxiong Jiang, Yi Bao, Yuchen Zheng, Xuhui Chen, Qiang Xu, Siyang Liao, Deping Ke, Xiaoqi Gao

TL;DR
This paper presents a novel SST-driven 800 VDC architecture for data centers, demonstrating improved efficiency and stability through real-time simulation and realistic operating profiles, advancing power delivery for AI workloads.
Contribution
Develops a detailed SST-based 800 VDC system with control strategies and validation workflow, addressing implementation gaps for next-generation AI data center power supplies.
Findings
Achieves tight 800 VDC regulation with reduced energy consumption.
Demonstrates stable power quality and control robustness.
Provides practical design guidelines through sensitivity analysis.
Abstract
Artificial-intelligence (AI) workloads are driving rapid growth in data-center electricity use and rack power density, increasing demand for power-delivery systems that are efficient and robust to fast load transients. Conventional uninterruptible power supply (UPS) based AC distribution chains involve multiple conversion stages and line-frequency transformers, which compound losses and are less compatible with dynamic AI power profiles. Although solid-state transformers (SSTs) and 800 VDC distribution architecture are widely discussed, implementable topology/control details, and long-horizon validation with realistic operating profiles remain limited. This paper develops an SST-driven 800 VDC architecture that converts 10 kV MVAC to an 800V LVDC bus using a three-phase H-bridge AC/DC stage cascaded with a dual-active-bridge (DAB) DC/DC stage. A coordinated closed-loop control scheme,…
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Taxonomy
TopicsMicrogrid Control and Optimization · HVDC Systems and Fault Protection · Advanced DC-DC Converters
