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Pedro L. Magalhães
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# imports
# local
# import numpy as np
# import networkx as nx
from src.topupopt.problems.esipp.problem import InfrastructurePlanningProblem
from src.topupopt.problems.esipp.network import Network
from src.topupopt.problems.esipp.time import EconomicTimeFrame
# *****************************************************************************
# *****************************************************************************
def build_solve_ipp(
solver: str = 'glpk',
solver_options: dict = None,
use_sos_arcs: bool = False,
arc_sos_weight_key: str = InfrastructurePlanningProblem.SOS1_ARC_WEIGHTS_NONE,
arc_use_real_variables_if_possible: bool = False,
use_sos_sense: bool = False,
sense_sos_weight_key: int = (
InfrastructurePlanningProblem.SOS1_SENSE_WEIGHT_NOMINAL_HIGHER
),
sense_use_real_variables_if_possible: bool = False,
sense_use_arc_interfaces: bool = False,
perform_analysis: bool = False,
plot_results: bool = False,
print_solver_output: bool = False,
time_frame: EconomicTimeFrame = None,
networks: dict = None,
converters: dict = None,
static_losses_mode=None,
mandatory_arcs: list = None,
max_number_parallel_arcs: dict = None,
arc_groups_dict: dict = None,
init_aux_sets: bool = False,
# discount_rates: dict = None,
assessment_weights: dict = None,
simplify_problem: bool = False,
use_prices_block: bool = False
):
if type(assessment_weights) != dict:
assessment_weights = {} # default
if type(converters) != dict:
converters = {}
# time weights
# relative weight of time period
# one interval twice as long as the average is worth twice
# one interval half as long as the average is worth half
# time_weights = [
# [time_period_duration/average_time_interval_duration
# for time_period_duration in intraperiod_time_interval_duration]
# for p in range(number_periods)]
time_weights = None # nothing yet
normalised_time_interval_duration = None # nothing yet
# create problem object
ipp = InfrastructurePlanningProblem(
# discount_rates=discount_rates,
time_frame=time_frame,
# reporting_periods=time_frame.reporting_periods,
# time_intervals=time_frame.time_interval_durations,
time_weights=time_weights,
normalised_time_interval_duration=normalised_time_interval_duration,
assessment_weights=assessment_weights,
use_prices_block=use_prices_block
)
# add networks and systems
for netkey, net in networks.items():
ipp.add_network(network_key=netkey, network=net)
# add converters
for cvtkey, cvt in converters.items():
ipp.add_converter(converter_key=cvtkey, converter=cvt)
# define arcs as mandatory
if type(mandatory_arcs) == list:
for full_arc_key in mandatory_arcs:
ipp.make_arc_mandatory(full_arc_key[0], full_arc_key[1:])
# if make_all_arcs_mandatory:
# for network_key in ipp.networks:
# for arc_key in ipp.networks[network_key].edges(keys=True):
# # preexisting arcs are no good
# if ipp.networks[network_key].edges[arc_key][
# Network.KEY_ARC_TECH].has_been_selected():
# continue
# ipp.make_arc_mandatory(network_key, arc_key)
# set up the use of sos for arc selection
if use_sos_arcs:
for network_key in ipp.networks:
for arc_key in ipp.networks[network_key].edges(keys=True):
if (
ipp.networks[network_key]
.edges[arc_key][Network.KEY_ARC_TECH]
.has_been_selected()
):
# skip arcs that have already been selected (pre-existing)
continue
ipp.use_sos1_for_arc_selection(
network_key,
arc_key,
use_real_variables_if_possible=(
arc_use_real_variables_if_possible
),
sos1_weight_method=arc_sos_weight_key,
)
# set up the use of sos for flow sense determination
if use_sos_sense:
for network_key in ipp.networks:
for arc_key in ipp.networks[network_key].edges(keys=True):
if not ipp.networks[network_key].edges[arc_key][
Network.KEY_ARC_UND
]:
continue
ipp.use_sos1_for_flow_senses(
network_key,
arc_key,
use_real_variables_if_possible=(
sense_use_real_variables_if_possible
),
use_interface_variables=sense_use_arc_interfaces,
sos1_weight_method=sense_sos_weight_key,
)
elif sense_use_arc_interfaces: # set up the use of arc interfaces w/o sos1
for network_key in ipp.networks:
for arc_key in ipp.networks[network_key].edges(keys=True):
if (
ipp.networks[network_key]
.edges[arc_key][Network.KEY_ARC_TECH]
.has_been_selected()
):
continue
ipp.use_interface_variables_for_arc_selection(network_key, arc_key)
# static losses
if static_losses_mode == ipp.STATIC_LOSS_MODE_ARR:
ipp.place_static_losses_arrival_node()
elif static_losses_mode == ipp.STATIC_LOSS_MODE_DEP:
ipp.place_static_losses_departure_node()
elif static_losses_mode == ipp.STATIC_LOSS_MODE_US:
ipp.place_static_losses_upstream()
elif static_losses_mode == ipp.STATIC_LOSS_MODE_DS:
ipp.place_static_losses_downstream()
else:
raise ValueError("Unknown static loss modelling mode.")
# *********************************************************************
# groups
if type(arc_groups_dict) != type(None):
for key in arc_groups_dict:
ipp.create_arc_group(arc_groups_dict[key])
# *********************************************************************
# maximum number of parallel arcs
for key in max_number_parallel_arcs:
ipp.set_maximum_number_parallel_arcs(
network_key=key[0],
node_a=key[1],
node_b=key[2],
limit=max_number_parallel_arcs[key],
)
# *********************************************************************
if simplify_problem:
ipp.simplify_peak_total_assessments()
# *********************************************************************
# instantiate (disable the default case v-a-v fixed losses)
# ipp.instantiate(place_fixed_losses_upstream_if_possible=False)
ipp.instantiate(initialise_ancillary_sets=init_aux_sets)
# ipp.instance.pprint()
# optimise
ipp.optimise(
solver_name=solver,
solver_options=solver_options,
output_options={},
print_solver_output=print_solver_output,
)
# ipp.instance.pprint()
# return the problem object
return ipp
# *****************************************************************************
# *****************************************************************************