PGLearn-Small / 118_ieee /config.toml
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# Name of the reference PGLib case. Must be a valid PGLib case name.
pglib_case = "pglib_opf_case118_ieee"
# Directory where instance/solution files are exported
# must be a valid directory
export_dir = "/storage/home/hcoda1/0/mtanneau3/Git/OPFGenerator/data/scratch/118_ieee"
floating_point_type = "Float32"
[slurm]
n_samples = 1000000
n_jobs = 42
minibatch_size = 256
queue = "embers"
charge_account = "gts-mtanneau3"
extract_memory = "256gb"
[sampler]
# data sampler options
[sampler.load]
noise_type = "ScaledUniform"
l = 0.80 # Lower bound of base load factor
u = 1.20 # Upper bound of base load factor
sigma = 0.20 # Relative (multiplicative) noise level.
[OPF]
[OPF.ACOPF]
type = "ACOPF"
solver.name = "Ipopt"
solver.attributes.tol = 1e-6
solver.attributes.linear_solver = "ma27"
[OPF.DCOPF]
# Formulation/solver options
type = "DCOPF"
solver.name = "HiGHS"
[OPF.SOCOPF]
type = "SOCOPF"
solver.name = "Clarabel"
# Tight tolerances
solver.attributes.tol_gap_abs = 1e-6
solver.attributes.tol_gap_rel = 1e-6
solver.attributes.tol_feas = 1e-6
solver.attributes.tol_infeas_rel = 1e-6
solver.attributes.tol_ktratio = 1e-6
# Reduced accuracy settings
solver.attributes.reduced_tol_gap_abs = 1e-6
solver.attributes.reduced_tol_gap_rel = 1e-6
solver.attributes.reduced_tol_feas = 1e-6
solver.attributes.reduced_tol_infeas_abs = 1e-6
solver.attributes.reduced_tol_infeas_rel = 1e-6
solver.attributes.reduced_tol_ktratio = 1e-6