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Special Session XV

Special Session XV: Design and Application of High-Power Solid-State Transformers for AI Data Centers AI数据中心用高功率固态变压器设计与应用

 

Session Chair: Assoc. Prof. Feng An, North China Electric Power University, China

Co-Chair: Researcher Licheng Wang, The University of Queensland, Australia

 

Summary:

With the rapid expansion of AI computing infrastructure, AI data centers are facing increasing demands for power capacity, power density, energy efficiency, and supply reliability. Conventional line-frequency transformers and multi-stage power distribution architectures are challenged by large volume, high losses, and limited flexibility. Solid-state transformers, integrating medium-voltage access, high-frequency isolation, power electronic conversion, and intelligent control, provide a promising technical pathway for efficient, compact, and flexible power supply systems in AI data centers. This special session focuses on the design and application of high-power solid-state transformers for AI data centers. Topics include modular cascaded topologies, AC/DC/DC conversion architectures, medium-voltage DC power distribution, high-frequency transformer design, wide-bandgap semiconductor devices, voltage and current balancing control among modules, thermal management, electromagnetic compatibility, protection coordination, fault tolerance, condition monitoring, and reliability assessment. The session aims to exchange new theories, methods, devices, and engineering practices related to solid-state transformers in AI data center power supply applications, supporting the development of green, efficient, and highly reliable energy supply technologies for next-generation computing infrastructure.

 

随着人工智能算力基础设施快速发展,AI数据中心的用电容量、功率密度、供电效率和可靠性需求持续提升,传统工频变压器与多级供配电架构面临体积大、损耗高、灵活性不足等挑战。固态变压器作为融合中压接入、高频隔离、电力电子变换和智能控制的新型电能变换装备,为构建高效、紧凑、灵活的AI数据中心供电系统提供了重要技术路径。本专题聚焦AI数据中心用高功率固态变压器的设计与应用,涵盖模块化级联拓扑、AC/DC/DC变换架构、中压直流配电、高频变压器设计、宽禁带半导体器件应用、多模块均压均流控制、热管理、电磁兼容、保护协调、故障容错、状态监测及可靠性评估等关键技术。专题旨在交流固态变压器在AI数据中心供电场景中的新理论、新方法、新器件与工程应用成果,推动绿色、高效、高可靠算力基础设施能源供给技术发展。

 

Topics:
1. System architecture and topology design of solid-state transformers for AI data centers(AI数据中心固态变压器系统架构与拓扑设计)
2. Modular cascaded solid-state transformer technologies for medium-voltage access(面向中压接入的模块化级联固态变压器技术)
3. High-frequency isolated converters and transformer design for solid-state transformers(固态变压器用高频隔离变换器与高频变压器设计)
4. Application of wide-bandgap semiconductor devices in high-power solid-state transformers(宽禁带半导体器件在高功率固态变压器中的应用)
5. Coordinated control of medium-voltage DC distribution and solid-state transformers in AI data centers(AI数据中心中压直流配电与固态变压器协同控制)
6. Voltage balancing, current sharing, and power balancing control for modular solid-state transformers(多模块固态变压器均压、均流与功率均衡控制)
7. Thermal management, electromagnetic compatibility, and high-power-density design of solid-state transformers(固态变压器热管理、电磁兼容与高功率密度设计)
8. Fault protection, fault-tolerant operation, and reliability assessment of solid-state transformers(固态变压器故障保护、容错运行与可靠性评估)
9. Condition monitoring and intelligent operation and maintenance of solid-state transformers for data centers(面向数据中心的固态变压器状态监测与智能运维)
10. Engineering applications of solid-state transformers in green and efficient AI computing infrastructure(固态变压器在绿色高效AI算力基础设施中的工程应用)

Keywords:

AI data centers(AI数据中心)
solid-state transformers(固态变压器)
high-power power electronics(高功率电力电子)
medium-voltage DC power distribution(中压直流供电)
high-frequency isolated conversion(高频隔离变换)
modular cascaded topologies(模块化级联拓扑)
wide-bandgap semiconductors(宽禁带半导体)
system reliability(系统可靠性)


Submission Deadline: October 8, 2026