SST(电力电子变压器)
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朱雀基金:算力革命下电力设备或开启第二成长曲线
Zhong Zheng Wang· 2025-11-07 13:11
Core Insights - Major investments in AI infrastructure by global tech giants are driven by the urgent need for energy infrastructure upgrades and the new challenges posed by high-density computing on power supply [1] - The rapid development of renewable energy is outpacing the construction of grid infrastructure, necessitating accelerated grid development to keep up with power generation [1] - The rise of AI is providing new growth momentum for the power equipment industry, with data centers (AIDC) being central to AI infrastructure and their stable operation relying on energy supply [1] Group 1 - The traditional 415V AC systems are becoming inadequate due to increasing rack power density, leading to a potential shift towards 800V DC distribution systems [2] - The concentration of AC-DC conversion equipment is expected to rise, with the use of Solid State Transformers (SST) simplifying systems and aiding in carbon reduction for data centers [2] - The white paper from NVIDIA highlights significant fluctuations in rack power due to GPU power increases, presenting challenges for power supply and grid stability [2] Group 2 - Solutions proposed for managing power fluctuations include software optimization, energy storage systems, and limiting GPU performance, which opens up application spaces for supercapacitors and energy storage [2] - The development of new power systems, such as virtual power plants, is suggested to enhance system stability by matching electricity consumption with generation [2] - Companies with strong systemic solution capabilities are expected to gain a competitive advantage in this evolving landscape [2]