IBR Dynamics and Physics-Informed Learning
IBR Dynamics and Physics-Informed Learning
Course framework · Development by module
From physical models to model validity and learned dynamics.
Three core courses connect converter modeling, model validity, and learned dynamics. Two advanced topics extend the path to identification and network interaction.
C1 now includes nine bilingual lessons, runnable experiments and practice feedback. The other courses provide module frameworks for further development.
Start with IBR modelingThree core courses
C1 establishes the modeling foundation, followed by C2 for analysis and reduction or C3 for learned dynamics. C3 starts with a simple swing model; its advanced converter project uses the models from C1.
IBR Dynamic Modeling and Simulation
Build GFL, GFM, and hybrid models from their physical interfaces and control laws.
Course project Compare GFL, droop-GFM, VSM, and hybrid responses at a declared common operating point.
IBR Stability, Model Reduction, and Validation
Analyze retained dynamics and choose reduced models for a declared study domain.
Course project Select a reduced model for specified outputs, frequency bands, disturbances, and grid strengths.
Physics-Informed Neural ODEs for IBR Dynamics
Learn continuous-time dynamics with data, physical constraints, and residual models.
Course project Compare pure NODE, grey-box, and physics-aware models on held-out trajectories.
Two advanced topics
Research workshops following the core courses, with room to develop into independent courses.
IBR Identification and Learned-Model Validation
Study excitation, parameter meaning, residual ambiguity, and independent evidence.
Multi-IBR Network Dynamics
Connect device models through network constraints and study coupled disturbances.
Preparation
- Python and Jupyter
- Run a notebook, inspect arrays, and reproduce a numerical experiment.
- Power electronics essentials
- Read the converter energy path, switching abstraction, and filter circuit.
- ODE and simulation essentials
- Interpret states, equilibria, numerical integration, and step-size effects.
Shared research writing workshop
Turn a completed project into a methods-and-evidence report, with figures, limitations, and reproducibility instructions.