def from_mpc(mpc_file,
f_hz=50,
casename_mpc_file='mpc',
validate_conversion=False):
"""
This function converts a matpower case file (.mat) version 2 to a pandapower net.
Note: python is 0-based while Matlab is 1-based.
INPUT:
**mpc_file** - path to a matpower case file (.mat).
OPTIONAL:
**f_hz** (int, 50) - The frequency of the network.
**casename_mpc_file** (str, 'mpc') - The name of the variable in .mat file which contain the matpower case structure, i.e. the arrays "gen", "branch" and "bus".
OUTPUT:
**net** - The pandapower network
EXAMPLE:
import pandapower.converter as pc
pp_net = cv.from_mpc('case9.mat', f_hz=60)
"""
ppc = _mpc2ppc(mpc_file, casename_mpc_file)
net = from_ppc(ppc, f_hz, validate_conversion)
return net
def case5_pm_matfile_I():
mpc = {"branch": array([
[1, 2, 0.00281, 0.0281, 0.00712, 400.0, 0.0, 0.0, 0.0, 0.0, 1, -30.0, 30.0],
[1, 4, 0.00304, 0.0304, 0.00658, 426, 0.0, 0.0, 0.0, 0.0, 1, -30.0, 30.0],
[1, 10, 0.00064, 0.0064, 0.03126, 426, 0.0, 0.0, 0.0, 0.0, 1, -30.0, 30.0],
[2, 3, 0.00108, 0.0108, 0.01852, 426, 0.0, 0.0, 0.0, 0.0, 1, -30.0, 30.0],
[3, 4, 0.00297, 0.0297, 0.00674, 426, 0.0, 0.0, 1.05, 1.0, 1, -30.0, 30.0],
[3, 4, 0.00297, 0.0297, 0.00674, 426, 0.0, 0.0, 1.05, - 1.0, 1, -30.0, 30.0],
[4, 10, 0.00297, 0.0297, 0.00674, 240.0, 0.0, 0.0, 0.0, 0.0, 1, -30.0, 30.0],
]), "bus": array([
[1, 2, 0.0, 0.0, 0.0, 0.0, 1, 1.00000, 2.80377, 230.0, 1, 1.10000, 0.90000],
[2, 1, 300.0, 98.61, 0.0, 0.0, 1, 1.08407, 0.73465, 230.0, 1, 1.10000, 0.90000],
[3, 2, 300.0, 98.61, 0.0, 0.0, 1, 1.00000, 0.55972, 230.0, 1, 1.10000, 0.90000],
[4, 3, 400.0, 131.47, 0.0, 0.0, 1, 1.00000, 0.00000, 230.0, 1, 1.10000, 0.90000],
[10, 2, 0.0, 0.0, 0.0, 0.0, 1, 1.00000, 3.59033, 230.0, 1, 1.10000, 0.90000],
]), "gen": array([
[1, 40.0, 30.0, 30.0, -30.0, 1.07762, 100.0, 1, 40.0, 0.0],
[1, 170.0, 127.5, 127.5, -127.5, 1.07762, 100.0, 1, 170.0, 0.0],
[3, 324.49, 390.0, 390.0, -390.0, 1.1, 100.0, 1, 520.0, 0.0],
[4, 0.0, -10.802, 150.0, -150.0, 1.06414, 100.0, 1, 200.0, 0.0],
[10, 470.69, -165.039, 450.0, -450.0, 1.06907, 100.0, 1, 600.0, 0.0],
]), "gencost": array([
[2, 0.0, 0.0, 3, 0.000000, 14.000000, 0.000000],
[2, 0.0, 0.0, 3, 0.000000, 15.000000, 0.000000],
[2, 0.0, 0.0, 3, 0.000000, 30.000000, 0.000000],
[2, 0.0, 0.0, 3, 0.000000, 40.000000, 0.000000],
[2, 0.0, 0.0, 3, 0.000000, 10.000000, 0.000000],
]), "version": 2, "baseMVA": 100.0}
net = from_ppc(mpc, f_hz=50)
return net
def from_mpc(mpc_file,
f_hz=50,
casename_mpc_file='mpc',
validate_conversion=False):
"""
This function converts a matpower case file version 2 to a pandapower net.
Note: The input is a .mat file not an .m script. You need to save the mpc dict variable as .mat
file. If the saved variable of the matlab workspace is not named 'mpc', you can adapt the value
of 'casename_mpc_file' as needed.
Note: python is 0-based while Matlab is 1-based.
INPUT:
**mpc_file** - path to a matpower case file (.mat format not .m script).
OPTIONAL:
**f_hz** (int, 50) - The frequency of the network.
**casename_mpc_file** (str, 'mpc') - The name of the variable in .mat file which contain
the matpower case structure, i.e. the arrays "gen", "branch" and "bus".
OUTPUT:
**net** - The pandapower network
EXAMPLE:
import pandapower.converter as pc
pp_net = cv.from_mpc('case9.mat', f_hz=60)
"""
ppc = _mpc2ppc(mpc_file, casename_mpc_file)
net = from_ppc(ppc, f_hz, validate_conversion)
if "mpc_additional_data" in ppc:
net._options.update(ppc["mpc_additional_data"])
logger.info('added fields %s in net._options' %
list(ppc["mpc_additional_data"].keys()))
return net