Config reference

System

Option	Value	Info	Accepted values
freq	60	base frequency [Hz]	float
mva	100	system base MVA	float
ipadd	1	use spmatrix.ipadd if available	(0, 1)
seed	None	seed (or None) for random number generator	int or None
diag_eps	0.000	small value for Jacobian diagonals
warn_limits	1	warn variables initialized at limits	(0, 1)
warn_abnormal	1	warn initialization out of normal values	(0, 1)
dime_enabled	0
dime_name	andes
dime_address	ipc:///tmp/dime2
numba	0	use numba for JIT compilation	(0, 1)
numba_parallel	0	enable parallel for numba.jit	(0, 1)
numba_nopython	0	nopython mode for numba	(0, 1)
yapf_pycode	0	format generated code with yapf	(0, 1)
save_stats	0	store statistics of function calls	(0, 1)
np_divide	warn	treatment for division by zero	{'ignore', 'print', 'call', 'log', 'raise', 'warn'}
np_invalid	warn	treatment for invalid floating-point ops.	{'ignore', 'print', 'call', 'log', 'raise', 'warn'}
pickle_path	/home/docs/.andes/calls.pkl	path models should be (un)dilled to/from

PFlow

Option	Value	Info	Accepted values
sparselib	klu	linear sparse solver name	('klu', 'umfpack', 'spsolve', 'cupy')
linsolve	0	solve symbolic factorization each step (enable when KLU segfaults)	(0, 1)
tol	0.000	convergence tolerance	float
max_iter	25	max. number of iterations	>=10
method	NR	calculation method	('NR', 'dishonest')
check_conn	1	check connectivity before power flow	(0, 1)
n_factorize	4	first N iterations to factorize Jacobian in dishonest method	>0
report	1	write output report	(0, 1)
degree	0	use degree in report	(0, 1)
init_tds	0	initialize TDS after PFlow	(0, 1)

TDS

Option	Value	Info	Accepted values
sparselib	klu	linear sparse solver name	('klu', 'umfpack', 'spsolve', 'cupy')
linsolve	0	solve symbolic factorization each step (enable when KLU segfaults)	(0, 1)
method	trapezoid	DAE solution method	('trapezoid', 'backeuler')
tol	0.000	convergence tolerance	float
t0	0	simulation starting time	>=0
tf	20	simulation ending time	>t0
fixt	1	use fixed step size (1) or variable (0)	(0, 1)
shrinkt	1	shrink step size for fixed method if not converged	(0, 1)
honest	0	honest Newton method that updates Jac at each step	(0, 1)
tstep	0.033	integration step size	float
max_iter	15	maximum number of iterations	>=10
refresh_event	0	refresh events at each step	(0, 1)
test_init	1	test if initialization passes	(0, 1)
check_conn	1	re-check connectivity after event	(0, 1)
criteria	1	use criteria to stop simulation if unstable	(0, 1)
ddelta_limit	180	delta diff. limit to be considered unstable, in degree
g_scale	1	scale algebraic residuals with time step size	positive
reset_tiny	1	reset tiny residuals to zero to avoid chattering	(0, 1)
qrt	0	quasi-real-time stepping	(0, 1)
kqrt	1	quasi-real-time scaling factor; kqrt > 1 means slowing down	positive
store_z	0	store limiter status in TDS output	(0, 1)
store_f	0	store RHS of diff. equations	(0, 1)
store_h	0	store RHS of external diff. equations	(0, 1)
store_i	0	store RHS of external algeb. equations	(0, 1)
limit_store	0	limit in-memory timeseries storage	(0, 1)
max_store	900	maximum steps of data stored in memory before offloading	positive integer
save_every	1	save results for one step every "save_every" steps	integer
save_mode	auto	automatically or manually save output data when done	('auto', 'manual')
no_tqdm	0	disable tqdm progressbar and outputs	(0, 1)
chatter_iter	4	minimum iterations to detect chattering	int>=4

EIG

Option	Value	Info	Accepted values
sparselib	klu	linear sparse solver name	('klu', 'umfpack', 'spsolve', 'cupy')
linsolve	0	solve symbolic factorization each step (enable when KLU segfaults)	(0, 1)
plot	0	show plot after computation	(0, 1)
tol	0.000	numerical tolerance to treat eigenvalues as zeros