MTOF: A Novel FPGA-Based EMT Toolbox in MATLAB

Field programmable gate array (FPGA) is becoming an attractive solution for real-time electromagnetic transient (EMT) simulations. FPGA-based EMT simulation uses thousands of lines of code and sophisticated architecture to satisfy executable requirements ranging from the low-level analog signal to the advanced EMT mathematics. The coding would place a tremendous burden on beginners to take at least 6 months. To provide more straightforward solutions, this paper develops the MATLAB-to-FPGA EMT toolbox (MTOF) in the computational engine frame of MATLAB. Based on Input Data, MTOF under a user-friendly MATLAB environment can generate transparent FPGA-based code while complex programming under FPGA can be avoided. This brings a dramatic coding simplification and results in significant savings of programming time. MTOF includes automatic calculation sequence, resource utilization, and initialization. For high accuracy, MTOF performs the Floating-Point arithmetic of EMT models with more readable data formats (e.g., memory unit) on FPGA. To improve computational efficiency, ready-to-run architecture is presented to automate code generation quickly. MTOF can generate FPGA code files within 50 s and 300 s for the 4-machine 11-bus and 10-machine 39-bus systems, respectively. To verify the effectiveness of the generated FPGA code generated by MTOF, simulations are demonstrated on the two systems using a single FPGA board with high accuracy.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2025-01-29
DOI
https://doi.org/10.1109/tpwrs.2025.3535841
Primary Topic
Embedded Systems Design Techniques
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article
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article

MTOF: A Novel FPGA-Based EMT Toolbox in MATLAB

Xiaoping Zhang, Xin Ma
IEEE Transactions on Power Systems
Embedded Systems Design Techniques
article

MTOF: A Novel FPGA-Based EMT Toolbox in MATLAB

Xiaoping Zhang, Xin Ma
article en

Abstract

Field programmable gate array (FPGA) is becoming an attractive solution for real-time electromagnetic transient (EMT) simulations. FPGA-based EMT simulation uses thousands of lines of code and sophisticated architecture to satisfy executable requirements ranging from the low-level analog signal to the advanced EMT mathematics. The coding would place a tremendous burden on beginners to take at least 6 months. To provide more straightforward solutions, this paper develops the MATLAB-to-FPGA EMT toolbox (MTOF) in the computational engine frame of MATLAB. Based on Input Data, MTOF under a user-friendly MATLAB environment can generate transparent FPGA-based code while complex programming under FPGA can be avoided. This brings a dramatic coding simplification and results in significant savings of programming time. MTOF includes automatic calculation sequence, resource utilization, and initialization. For high accuracy, MTOF performs the Floating-Point arithmetic of EMT models with more readable data formats (e.g., memory unit) on FPGA. To improve computational efficiency, ready-to-run architecture is presented to automate code generation quickly. MTOF can generate FPGA code files within 50 s and 300 s for the 4-machine 11-bus and 10-machine 39-bus systems, respectively. To verify the effectiveness of the generated FPGA code generated by MTOF, simulations are demonstrated on the two systems using a single FPGA board with high accuracy.

IEEE Transactions on Power SystemsVol. 40(5)
University of Birmingham (GB)
Openalex Percentile: Top 99%
Embedded Systems Design Techniques
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MTOF: A Novel FPGA-Based EMT Toolbox in MATLAB — Xiaoping Zhang, Xin Ma · IEEE Transactions on Power Systems (2025) | TGRS Research Map | TGRS