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This is lesson number #17 in the Design of distribution transformers course, authored and hosted live by Mario Salano. It is created and presented on Master's level and you can save your seat here.
This Master's-level course on transformers explores the effect of DC components on magnetization currents. The instructor, Mario Salano, provides an overview of the course, which covers introductory, intermediate, and advanced topics. He introduces the concept of "smart transformers" that can adapt voltage from renewable sources. The lesson focuses on the challenges of DC bias in AC grids, which can lead to transformer saturation and increased losses. Mario explains the causes of DC bias, such as power converter imperfections, and discusses methods for detecting and compensating this issue. He presents an experimental technique using a parallel choke and advanced signal processing to accurately measure and suppress the DC bias. The course is moving towards the future of transformers, including smart grid applications and the use of artificial intelligence for optimization. Overall, this lesson delves into an important problem facing modern power systems and transformer design.




