Research Objective
To evaluate how adaptive virtual inertia, damping and voltage-support parameters in a grid-forming BESS improve frequency stability, RoCoF control and voltage recovery in an ultra-weak renewable IEEE 39-bus network.
System Architecture
The model can be structured with the IEEE 39-bus transmission system, weak-grid equivalent, renewable generation areas, grid-forming BESS interface, load disturbance locations, contingency events and RMS result channels for frequency, voltage, active power and reactive power.
Simulation Methodology
The study compares fixed grid-forming settings against AI-adaptive tuning under renewable intermittency, load steps and weak-grid disturbances. RMS simulations capture the transient response and quantify frequency nadir, RoCoF, settling time and bus-voltage improvement.
Validation Scenarios
- Base case load flow and RMS initialization of the IEEE 39-bus network
- Load increase and renewable power fluctuation events
- Weak-grid SCR variation and ultra-weak operating cases
- Comparison of fixed GFM-BESS and AI-adaptive GFM-BESS control
- Frequency, RoCoF and voltage recovery performance ranking
Expected Graphs and Result Discussion
A complete result section should include the main waveforms, controller response, operating status and comparison tables needed for engineering thesis documentation. For this project, the important graph set includes:
- System frequency and RoCoF
- BESS active/reactive power support
- Critical-bus voltage profile
- Virtual inertia and damping command trend
- Fixed versus adaptive GFM-BESS comparison
Thesis and Research Extension Ideas
Reinforcement learning, PSO-assisted controller tuning, cyber-resilient GFM logic, renewable forecasting and multi-BESS coordination can be added for PhD-level journal extension.