A monitoring and diagnostics method based on FPGA-digital twin for power electronic transformer

Power electronic transformer (PET) has received extensive attention and research for its flexible control and diverse applications. However, it is difficult to achieve real-time monitoring and diagnostics through traditional digital simulation software as well as hardware offline testing. In this paper, a real-time field-programmable gate array-digital twin (FPGA-DT) technique is developed for the monitoring and diagnostics. A novel method based on the FPGA-DT, is also proposed to analyze, detect and identify the PET open-circuit (O/C) faults. This method is performed through collecting, calculating and evaluating different fault characteristics between actual and DT systems. Then, the fault identification logic is executed and analyzed in the FPGA environment. The effectiveness and correctness of the proposed method is tested and validated by performing blocked mode and four-type O/C faults on AC side, HB, DAB and DC side of the PET.