Reading the results

hermess.simulate() returns the finished DaeSim, which holds both the symbolic model and the trajectories:

dae = hermess.simulate("3bus", T_end=5.0, small_signal_analysis=True)

dae.time_steps                       # the time grid
dae.x_full, dae.y_full               # differential and algebraic trajectories
dae.grid.yf                          # bus voltages
dae.grid.power_flow_tables(dae)      # initial power flow as two pandas DataFrames

After a run with small_signal_analysis=True:

dae.A                                # reduced state matrix at the operating point
dae.eigenvalues                      # its spectrum
dae.state_names                      # rows and columns of dae.A
dae.participation_table(mode=1)      # participation factors of the least damped mode
dae.print_modal_report()             # the same information as a text report
dae.plot_eigenvalues()               # s-plane scatter

Individual devices keep their own states, so device.xf["omega"] gives the trajectory of one state of one device.

For tables, selector-based extraction and one-line plots on top of these raw attributes, see analysis and plotting.