Dr. Cui will give a tutorial on ANDES at the 5th GridFM Workshop at Harvard

Dr. Cui will present a hands-on tutorial titled “Hands-On Dynamic Simulation in Python with ANDES: Training Data Generation for Grid Foundation Models” at the 5th Workshop on Foundation Models of the Electric Grid at Harvard, March 17-19, 2026.

The tutorial introduces ANDES, an open-source Python library for symbolic power system modeling and numerical analysis. ANDES provides over 100 industry-grade models, including synchronous machines, renewable energy converters, and grid-forming inverters, and supports power flow, time-domain simulation, and state estimation. Participants will learn how to load standard cases, run dynamic simulations, programmatically vary operating conditions and fault scenarios, and extract time-series results for ML workflows. The session uses interactive Jupyter notebooks and assumes no prior experience with dynamic simulation.