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arXiv · 2412.08065

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications

Tong Su·Jiangkai Peng·Alaa Selim·Junbo Zhao·Jin Tan
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Abstract

The emergence of grid-forming (GFM) inverter technology and the increasing role of machine learning in power systems highlight the need for evaluating the latest dynamic simulators. Open-source simulators offer distinct advantages in this field, being both free and highly customizable, which makes them well-suited for scientific research and validation of the latest models and methods. This paper provides a comprehensive survey and comparison of the latest open-source simulators that support GFM, with a focus on their capabilities and performance in machine-learning applications.

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Tong Su, Jiangkai Peng, Alaa Selim, Junbo Zhao, Jin Tan. 2024-12-11. A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications. https://arxiv.org/abs/2412.08065

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