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toolbox.py
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toolbox.py
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from copy import deepcopy
from functools import reduce
import operator
import numpy as np
import pandas as pd
import pandapower as pp
import pandapower.toolbox
import pandapower.topology as top
from pandapower.grid_equivalents.auxiliary import drop_internal_branch_elements
try:
from pandaplan.core import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
def getFromDict(dict_, keys):
""" Get value from nested dict """
return reduce(operator.getitem, keys, dict_)
def setInDict(dict_, keys, value):
""" Set value to nested dict """
getFromDict(dict_, keys[:-1])[keys[-1]] = value
def appendSetInDict(dict_, keys, set_):
""" Use case specific: append existing value of type set in nested dict """
getFromDict(dict_, keys[:-1])[keys[-1]] |= set_
def setSetInDict(dict_, keys, set_):
""" Use case specific: set new or append existing value of type set in nested dict """
if isinstance(getFromDict(dict_, keys[:-1]), dict):
if keys[-1] in getFromDict(dict_, keys[:-1]).keys():
if isinstance(getFromDict(dict_, keys), set):
appendSetInDict(dict_, keys, set_)
else:
raise ValueError("The set in the nested dict cannot be appended since it actually "
"is not a set but a " + str(type(getFromDict(dict_, keys))))
else:
setInDict(dict_, keys, set_)
else:
raise ValueError("This function expects a dict for 'getFromDict(dict_, " + str(keys[:-1]) +
")', not a" + str(type(getFromDict(dict_, keys[:-1]))))
def append_set_to_dict(dict_, set_, keys):
""" Appends a nested dict by the values of a set, independant if the keys already exist or not.
"""
keys = pp.ensure_iterability(keys)
# ensure that the dict way to the last key exist
for pos, _ in enumerate(keys[:-1]):
if isinstance(getFromDict(dict_, keys[:pos]), dict):
if keys[pos] not in getFromDict(dict_, keys[:pos]).keys():
setInDict(dict_, keys[:pos+1], dict())
else:
raise ValueError("This function expects a dict for 'getFromDict(dict_, " +
str(keys[:pos]) + ")', not a" + str(type(getFromDict(
dict_, keys[:pos]))))
# set the value
setSetInDict(dict_, keys, set_)
def set_bus_zone_by_boundary_branches(net, all_boundary_branches):
"""
Set integer values (0, 1, 2, ...) to net.bus.zone with regard to the given boundary branches in
'all_boundary_branches'.
INPUT:
**net** - pandapowerNet
**all_boundary_branches** (dict) - defines which element indices are boundary branches.
The dict keys must be pandapower elements, e.g. "line" or "trafo"
"""
include = dict.fromkeys(["line", "trafo", "trafo3w", "impedance"])
for elm in include.keys():
if elm in all_boundary_branches.keys():
include[elm] = net[elm].index.difference(all_boundary_branches[elm])
else:
include[elm] = True
mg = top.create_nxgraph(net, include_lines=include["line"], include_impedances=include[
"impedance"], include_trafos=include["trafo"], include_trafo3ws=include["trafo3w"])
cc = top.connected_components(mg)
ccl = [set_ for set_ in cc]
areas = []
while len(ccl):
# check intersections of the first area with all other unchecked areas (remains in ccl) and
# then add first area unionized with all intersectioned other areas to "areas"
areas += [ccl.pop(0)]
n_last_area = -1
while n_last_area != len(areas[-1]):
# check as long as len(areas[-1]) not changes anymore - needed because there can be
# intersections of remaining areas with the buses added to areas[-1]
# within the last while loop iteration via union
n_last_area = len(areas[-1])
for i, set_ in enumerate(ccl):
if set_.intersection(areas[-1]):
areas[-1] |= ccl.pop(i)
for i, area in enumerate(areas):
net.bus.zone.loc[list(area)] = i
def get_boundaries_by_bus_zone_with_boundary_branches(net):
"""
Only in_service branches and closed switches are considered.
INPUT:
**net** - pandapower net - In net.bus.zone different zones must be given.
OUTPUT:
**boundary_buses** - dict of boundary buses - for each zone the internal and external
boundary buses are given as well as the external boundary buses for each other zone.
Furthermore the value of the boundary_buses key "all" concludes all boundary buses of all
zones.
Example:
{"all": {0, 1, 3},
1: {"all": {0, 1, 3},
"external": {3},
"internal": {0, 1},
2: {3}
},
2: {"all": {1, 2, 3, 4},
"external": {0, 1, 4},
"internal": {2, 3},
1: {0, 1},
3: {4}
},
3: {"all": {2, 4},
"external": {2},
"internal": {4},
2: {2}
}
}
**boundary_branches** - dict of branch elements - for each zone a set of the corresponding
boundary boundary branches as well as "all" boundary branches
Example:
{"all": {"line": {0, 1},
"trafo": {0}
},
1: {"line": {0},
"trafo": {0}
},
2: {"line": {0, 1}},
3: {"line": {1}}
}
"""
def append_boundary_buses_externals_per_zone(boundary_buses, boundaries, zone, other_zone_cols):
""" iterate throw all boundaries which matches this_zone and add the other_zone_bus to
boundary_buses """
for idx, ozc in other_zone_cols.items():
other_zone = boundaries[zone_cols].values[idx, ozc]
if isinstance(other_zone, np.generic):
other_zone = other_zone.item()
if zone == other_zone:
continue # this happens if 2 trafo3w connections are in zone
other_zone_bus = boundaries[buses].values[idx, ozc]
append_set_to_dict(boundary_buses, {other_zone_bus}, [zone, other_zone])
if "all" in set(net.bus.zone.values):
raise ValueError("'all' is not a proper zone name.") # all is used later for other purpose
branch_elms = pandapower.toolbox.pp_elements(bus=False, bus_elements=False, branch_elements=True,
other_elements=False, res_elements=False)
branch_tuples = pandapower.toolbox.element_bus_tuples(bus_elements=False, branch_elements=True,
res_elements=False) + [("switch", "element")]
branch_dict = {branch_elm: [] for branch_elm in branch_elms}
for elm, bus in branch_tuples:
branch_dict[elm] += [bus]
zones = net.bus.zone.unique()
boundary_branches = {zone if net.bus.zone.dtype == object else zone.item():
dict() for zone in zones}
boundary_branches["all"] = dict()
boundary_buses = {zone if net.bus.zone.dtype == object else zone.item():
{"all": set(), "internal": set(), "external": set()} for zone in zones}
boundary_buses["all"] = set()
for elm, buses in branch_dict.items():
idx = net[elm].index[net[elm].in_service] if elm != "switch" else net.switch.index[
(net.switch.et == "b") & net.switch.closed]
boundaries = deepcopy(net[elm][buses].loc[idx]) # copy relevant info from net[elm]
zone_cols = list()
for i, bus_col in enumerate(buses):
# add to which zones the connected buses belong to
boundaries["zone%i" % i] = net.bus.zone.loc[boundaries[bus_col].values].values
zone_cols.append("zone%i" % i)
# compare the zones and conclude if the branches can be boundaries
if i > 0:
boundaries["is_boundary"] |= boundaries["zone%i" % i] != boundaries["zone0"]
else:
boundaries["is_boundary"] = False
# reduce the DataFrame 'boundaries' to those branches which actually are boundaries
boundaries = boundaries.loc[boundaries["is_boundary"],
boundaries.columns.difference(["is_boundary"])]
# determine boundary_branches and boundary_buses
if len(boundaries):
boundary_branches["all"][elm] = set(boundaries.index)
boundary_buses["all"] |= set(boundaries[buses].values.flatten())
for zone in set(boundaries[zone_cols].values.flatten()):
# determine which columns belong to this zone and which not
this_zone_col = np.zeros(boundaries.shape[0])*np.nan
for i, _ in enumerate(buses):
this_zone_col[boundaries[zone_cols[i]] == zone] = i
this_zone_col = pd.Series(this_zone_col).dropna().astype(np.int64)
other_zone_col1 = pd.Series(np.ones(this_zone_col.shape, dtype=np.int64),
index=this_zone_col.index) - this_zone_col
if len(buses) == 3:
other_zone_col1.loc[other_zone_col1 < 0] = 0
other_zone_col2 = pd.Series(3 * np.ones(this_zone_col.shape, dtype=np.int64),
index=this_zone_col.index) - \
this_zone_col - other_zone_col1
# fill zone dependant values to boundary_branches and boundary_buses
boundary_branches[zone][elm] = set(boundaries.index[this_zone_col.index])
nint = set(boundaries[buses].values[this_zone_col.index, this_zone_col.values])
ext = set(boundaries[buses].values[other_zone_col1.index, other_zone_col1.values])
boundary_buses[zone]["internal"] |= nint
boundary_buses[zone]["external"] |= ext
boundary_buses[zone]["all"] |= ext | nint
if len(buses) == 3:
ext = set(boundaries[buses].values[
other_zone_col2.index, other_zone_col2.values])
boundary_buses[zone]["external"] |= ext
boundary_buses[zone]["all"] |= ext
append_boundary_buses_externals_per_zone(
boundary_buses, boundaries, zone, other_zone_col1)
if len(buses) == 3:
append_boundary_buses_externals_per_zone(
boundary_buses, boundaries, zone, other_zone_col2)
# check for missing zone connections
zones_without_connection = list()
for zone, bra in boundary_branches.items():
if zone != "all" and not bra:
zones_without_connection.append(zone)
if len(zones_without_connection):
logger.warning("These zones have no connections to other zones: " + str(
zones_without_connection))
return boundary_buses, boundary_branches
def get_connected_switch_buses_groups(net, buses):
all_buses = set()
bus_dict = []
mg_sw = top.create_nxgraph(net, include_trafos=False,
include_trafo3ws=False,
respect_switches=True,
include_lines=False,
include_impedances=False)
for bbus in buses:
if bbus in all_buses:
continue
new_bus_set = set(top.connected_component(mg_sw, bbus))
all_buses |= new_bus_set
bus_dict.append(list(new_bus_set))
return all_buses, bus_dict
if __name__ == "__main__":
pass