andes.routines.tds.TDS

class andes.routines.tds.TDS(system=None, config=None)

Time-domain simulation routine.

Some cases may be sensitive to large convergence tolerance config.tol. If numerical oscillation happens, try reducing config.tol to 1e-6.

__init__(system=None, config=None)

Methods

calc_h([resume])	Calculate the time step size during the TDS.
check_criteria()	Check stability criteria.
do_switch()	Checks if is an event time and perform switch if true.
doc([max_width, export])	Routine documentation interface.
fg_update(models[, init])	Perform one round of evaluation for one iteration step.
get_timeseries(var)	Return time-series data for a variable as a DataFrame.
init()	Initialize the status, storage and values for TDS.
init_resume()	Initialize a resumed simulation.
itm_step()	Integrate one step of size self.h using the configured DAE method.
load_plotter()	Manually load a plotter into TDS.plotter.
plot(*args, **kwargs)	Shorthand for TDS.plt.plot(...).
reinit()	Reset TDS to post-init state for a new simulation episode.
report(**kwargs)	Report interface.
reset()	Reset internal states to pre-init condition.
rewind(t)	TODO: rewind to a past time.
run([no_summary, from_csv])	Run time-domain simulation using numerical integration.
save_output([npz])	Save the simulation data into two files: a .lst file and a .npz file.
set_method([name])	Set DAE solution method.
streaming_init()	Send out initialization variables and process init from modules.
streaming_step()	Sync, handle and streaming for each integration step.
summary()	Print out a summary of TDS options to logger.info.
test_init()	Test if the TDS initialization is successful.

Attributes

class_name