Test Systems
Four benchmark networks ship as ready-to-run RAMSES data sets, each in its own repository. They are ordered here from smallest to largest, which is also the order in which they are worth meeting.
| System | Buses | Machines | Frequency | Best for |
|---|---|---|---|---|
| 5-Bus | 5 | 1 | 50 Hz | Learning the tools |
| Kundur Two-Area | 11 | 4 | 60 Hz | Inter-area oscillations, PSS tuning |
| Nordic | 74 | 20 | 50 Hz | Long-term voltage stability |
| GB Network | 87 | 37 | 50 Hz | HVDC, wide-area monitoring |
Which One to Start With
Section titled “Which One to Start With”- New to STEPSS: the 5-bus system is small enough to trace every computation by hand while still exercising the whole workflow, from power flow through disturbance to trajectory extraction.
- Small-signal and damping studies: the Kundur two-area system ships two dynamic data variants, with and without PSS, so the inter-area mode can be compared directly. Pair it with Eigenanalysis.
- Voltage stability and long-term dynamics: the Nordic system is the IEEE PES-TR19 benchmark, with several operating points and a Jupyter tutorial that walks through a voltage collapse.
- Converter-dominated and HVDC studies: the GB network models its interconnections as two-port converters and carries ready-made disturbance templates.
Running Any of Them
Section titled “Running Any of Them”All four follow the same pattern: clone the repository, then point a stepss
cfg at its data files.
import stepss
case = stepss.cfg()case.addData('dyn.dat') # dynamic datacase.addData('lf.dat') # power-flow solutioncase.addData('solveroptions.dat') # solver settingscase.addDst('disturb.dst') # disturbance scenariocase.addObs('obs.dat') # observables to record
sim = stepss.sim()sim.execSim(case)The exact file names differ per system; each page lists them. See Python API Examples for complete worked scripts, and Installation if stepss is not set up yet.
Next Steps
Section titled “Next Steps”- Python API Examples, full simulation workflows
- Disturbances, write your own scenarios
- Model Reference, the models these systems use