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

arXiv: https://arxiv.org/abs/2412.08065 · HTML: https://mlsanity.com/paper/2412.08065/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Dec 2024.

## Built on by (most cited first, 1 of 1)

- [EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy Microgrids](https://mlsanity.com/paper/2511.20590/) (2025)

## Abstract (arXiv)

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.