A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912152038670336 |
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| author | Su, Tong Peng, Jiangkai Selim, Alaa Zhao, Junbo Tan, Jin |
| author_facet | Su, Tong Peng, Jiangkai Selim, Alaa Zhao, Junbo Tan, Jin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_08065 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Su, Tong Peng, Jiangkai Selim, Alaa Zhao, Junbo Tan, Jin Systems and Control 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. |
| title | A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2412.08065 |