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# imports
# standard
import math
from statistics import mean
# local
# import numpy as np
# import networkx as nx
import pyomo.environ as pyo
# import src.topupopt.problems.esipp.utils as utils
from src.topupopt.data.misc.utils import generate_pseudo_unique_key
from src.topupopt.problems.esipp.problem import InfrastructurePlanningProblem
from src.topupopt.problems.esipp.network import Arcs, Network
from src.topupopt.problems.esipp.resource import ResourcePrice
from src.topupopt.problems.esipp.problem import simplify_peak_total_problem
from src.topupopt.problems.esipp.problem import is_peak_total_problem
# *****************************************************************************
# *****************************************************************************
class TestESIPPProblem:
def build_solve_ipp(
self,
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,
irregular_time_intervals: bool = False,
networks: dict = None,
number_intraperiod_time_intervals: int = 4,
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,
reporting_periods: dict = None,
time_intervals: dict = None,
assessment_weights: dict = None,
simplify_problem: bool = False):
reporting_period_duration = 365*24*3600
if type(discount_rates) != dict:
discount_rates = {
0: tuple([0.035, 0.035])
}
if type(assessment_weights) != dict:
assessment_weights = {} # default
if type(reporting_periods) != dict:
reporting_periods = {0: (0,1)}
# time intervals
if type(time_intervals) != dict:
if irregular_time_intervals:
time_step_max_relative_variation = 0.25
intraperiod_time_interval_duration = [
(reporting_period_duration/number_intraperiod_time_intervals)*
(1+(k/(number_intraperiod_time_intervals-1)-0.5)*
time_step_max_relative_variation)
for k in range(number_intraperiod_time_intervals)]
else:
intraperiod_time_interval_duration = [
reporting_period_duration/number_intraperiod_time_intervals
for k in range(number_intraperiod_time_intervals)]
# average time interval duration
average_time_interval_duration = round(
mean(
intraperiod_time_interval_duration
)
)
time_intervals = {
0: tuple(dt for dt in intraperiod_time_interval_duration)
}
# 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(
name='problem',
discount_rates=discount_rates,
reporting_periods=reporting_periods,
time_intervals=time_intervals,
time_weights=time_weights,
normalised_time_interval_duration=normalised_time_interval_duration,
assessment_weights=assessment_weights
)
# add networks and systems
for netkey, net in networks.items():
ipp.add_network(network_key=netkey, network=net)
# 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():
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_problem(ipp)
# *********************************************************************
# 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)
# optimise
ipp.optimise(solver_name=solver,
solver_options=solver_options,
output_options={},
print_solver_output=print_solver_output)
# return the problem object
return ipp
# *********************************************************************
# *********************************************************************
# *************************************************************************
# *************************************************************************
def test_single_network_single_arc_problem(self):
# scenario
q = 0
# time
number_intervals = 3
# periods
number_periods = 2
# 2 nodes: one import, one regular
mynet = Network()
# import node
node_IMP = generate_pseudo_unique_key(mynet.nodes())
mynet.add_import_node(
node_key=node_IMP,
prices={
(q,p,k): ResourcePrice(
prices=1.0,
volumes=None
)
for p in range(number_periods)
for k in range(number_intervals)
}
)
# other nodes
node_A = generate_pseudo_unique_key(mynet.nodes())
mynet.add_source_sink_node(
node_key=node_A,
# base_flow=[0.5, 0.0, 1.0],
base_flow={
(q,0):0.50,
(q,1):0.00,
(q,2):1.00}
)
# arc IA
arc_tech_IA = Arcs(
name='any',
#efficiency=[0.5, 0.5, 0.5],
efficiency={
(q,0): 0.5,
(q,1): 0.5,
(q,2): 0.5
},
efficiency_reverse=None,
static_loss=None,
capacity=[3],
minimum_cost=[2],
specific_capacity_cost=1,
capacity_is_instantaneous=False,
validate=False)
mynet.add_directed_arc(
node_key_a=node_IMP,
node_key_b=node_A,
arcs=arc_tech_IA)
# identify node types
mynet.identify_node_types()
# no sos, regular time intervals
ipp = self.build_solve_ipp(
# solver=solver,
solver_options={},
# use_sos_arcs=use_sos_arcs,
# arc_sos_weight_key=sos_weight_key,
# arc_use_real_variables_if_possible=use_real_variables_if_possible,
# use_sos_sense=use_sos_sense,
# sense_sos_weight_key=sense_sos_weight_key,
# sense_use_real_variables_if_possible=sense_use_real_variables_if_possible,
# sense_use_arc_interfaces=use_arc_interfaces,
perform_analysis=False,
plot_results=False, # True,
print_solver_output=False,
# irregular_time_intervals=irregular_time_intervals,
networks={'mynet': mynet},
number_intraperiod_time_intervals=number_intervals,
static_losses_mode=True, # just to reach a line,
mandatory_arcs=[],
max_number_parallel_arcs={},
# init_aux_sets=init_aux_sets,
simplify_problem=False
)
assert is_peak_total_problem(ipp)
assert ipp.results['Problem'][0]['Number of constraints'] == 24
assert ipp.results['Problem'][0]['Number of variables'] == 22
assert ipp.results['Problem'][0]['Number of nonzeros'] == 49
# *********************************************************************
# *********************************************************************
# validation
# the arc should be installed since it is the only feasible solution
assert True in ipp.networks['mynet'].edges[(node_IMP, node_A, 0)][
Network.KEY_ARC_TECH].options_selected
# the flows should be 1.0, 0.0 and 2.0
assert math.isclose(
pyo.value(
ipp.instance.var_v_glljqk[
('mynet', node_IMP, node_A, 0, q, 0)
]
),
1.0,
abs_tol=1e-6)
assert math.isclose(
pyo.value(
ipp.instance.var_v_glljqk[
('mynet', node_IMP, node_A, 0, q, 1)
]
),
0.0,
abs_tol=1e-6)
assert math.isclose(
pyo.value(
ipp.instance.var_v_glljqk[
('mynet', node_IMP, node_A, 0, q, 2)
]
),
2.0,
abs_tol=1e-6)
# arc amplitude should be two
assert math.isclose(
pyo.value(
ipp.instance.var_v_amp_gllj[('mynet', node_IMP, node_A, 0)]
),
2.0,
abs_tol=0.01)
# capex should be four
assert math.isclose(pyo.value(ipp.instance.var_capex), 4.0, abs_tol=1e-3)
# sdncf should be -5.7
assert math.isclose(
pyo.value(ipp.instance.var_sdncf_q[q]), -5.7, abs_tol=1e-3
)
# the objective function should be -9.7
assert math.isclose(pyo.value(ipp.instance.obj_f), -9.7, abs_tol=1e-3)
# *************************************************************************
# *************************************************************************
def test_single_network_single_arc_problem_simpler(self):
# scenario
q = 0
# time
number_intervals = 3
# periods
number_periods = 2
# 2 nodes: one import, one regular
mynet = Network()
# import node
# node_IMP = generate_pseudo_unique_key(mynet.nodes())
node_IMP = 'thatimpnode'
mynet.add_import_node(
node_key=node_IMP,
prices={
(q,p,k): ResourcePrice(
prices=1.0,
volumes=None
)
for p in range(number_periods)
for k in range(number_intervals)
}
)
# other nodes
# node_A = generate_pseudo_unique_key(mynet.nodes())
node_A = 'thatnodea'
mynet.add_source_sink_node(
node_key=node_A,
# base_flow=[0.5, 0.0, 1.0],
base_flow={
(q,0):0.50,
(q,1):0.00,
(q,2):1.00}
)
# arc IA
arc_tech_IA = Arcs(
name='any',
#efficiency=[0.5, 0.5, 0.5],
efficiency={
(q,0): 0.5,
(q,1): 0.5,
(q,2): 0.5
},
efficiency_reverse=None,
static_loss=None,
capacity=[3],
minimum_cost=[2],
specific_capacity_cost=1,
capacity_is_instantaneous=False,
validate=False)
mynet.add_directed_arc(
node_key_a=node_IMP,
node_key_b=node_A,
arcs=arc_tech_IA)
# identify node types
mynet.identify_node_types()
# no sos, regular time intervals
ipp = self.build_solve_ipp(
# solver=solver,
solver_options={},
# use_sos_arcs=use_sos_arcs,
# arc_sos_weight_key=sos_weight_key,
# arc_use_real_variables_if_possible=use_real_variables_if_possible,
# use_sos_sense=use_sos_sense,
# sense_sos_weight_key=sense_sos_weight_key,
# sense_use_real_variables_if_possible=sense_use_real_variables_if_possible,
# sense_use_arc_interfaces=use_arc_interfaces,
perform_analysis=False,
plot_results=False, # True,
print_solver_output=False,
# irregular_time_intervals=irregular_time_intervals,
networks={'mynet': mynet},
number_intraperiod_time_intervals=number_intervals,
static_losses_mode=True, # just to reach a line,
mandatory_arcs=[],
max_number_parallel_arcs={},
# init_aux_sets=init_aux_sets,
simplify_problem=True
)
assert is_peak_total_problem(ipp)
assert ipp.results['Problem'][0]['Number of constraints'] == 20
assert ipp.results['Problem'][0]['Number of variables'] == 19
assert ipp.results['Problem'][0]['Number of nonzeros'] == 36
# *********************************************************************
# *********************************************************************
# validation
# the arc should be installed since it is the only feasible solution
assert True in ipp.networks['mynet'].edges[(node_IMP, node_A, 0)][
Network.KEY_ARC_TECH].options_selected
# capex should be four
assert math.isclose(pyo.value(ipp.instance.var_capex), 4.0, abs_tol=1e-3)
# the objective function should be -9.7
assert math.isclose(pyo.value(ipp.instance.obj_f), -9.7, abs_tol=1e-3)
Pedro L. Magalhães
committed
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# TODO: create method to automate getting data from the command line
import io
import sys
from contextlib import redirect_stdout
# print('wow wow wow')
# ipp.instance.constr_imp_flow_cost.pprint()
expected_string = """constr_imp_flow_cost : Size=4, Index=constr_imp_flow_cost_index, Active=True\n Key : Lower : Body : Upper : Active\n ('mynet', 'thatimpnode', 'peak', 0, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,0,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'peak', 1, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,1,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'total', 0, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,0,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'total', 1, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,1,0] : 0.0 : True\n"""
cmd_output = io.StringIO()
sys.stdout = cmd_output
ipp.instance.constr_imp_flow_cost.pprint()
sys.stdout = sys.__stdout__
assert cmd_output.getvalue() == expected_string
expected_string = """constr_exp_flow_revenue : Size=0, Index=constr_exp_flow_revenue_index, Active=True\n Key : Lower : Body : Upper : Active\n"""
f = io.StringIO()
with redirect_stdout(f):
ipp.instance.constr_exp_flow_revenue.pprint()
assert f.getvalue() == expected_string
# try the whole model
# print('wow wow wow')
# ipp.instance.pprint()
# expected_string = """constr_imp_flow_cost : Size=4, Index=constr_imp_flow_cost_index, Active=True\n Key : Lower : Body : Upper : Active\n ('mynet', 'thatimpnode', 'peak', 0, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,0,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'peak', 1, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,1,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'total', 0, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,0,0] : 0.0 : True\n ('mynet', 'thatimpnode', 'total', 1, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,1,0] : 0.0 : True\n"""
# cmd_output = io.StringIO()
# sys.stdout = cmd_output
# ipp.instance.pprint()
# sys.stdout = sys.__stdout__
# assert cmd_output.getvalue() == expected_string
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# from contextlib import redirect_stdout
# import io
# ipp.instance.constr_imp_flow_cost.pprint() # only one constraint
# f = io.StringIO()
# with redirect_stdout(f):
# # ipp.instance.pprint() # full model
# ipp.instance.constr_imp_flow_cost.pprint() # only one constraint
# expected_string = r"""constr_imp_flow_cost : Size=4, Index=constr_imp_flow_cost_index, Active=True
# Key : Lower : Body : Upper : Active
# ('mynet', 'thatimpnode', 'peak', 0, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,0,0] : 0.0 : True
# ('mynet', 'thatimpnode', 'peak', 1, 0) : 0.0 : 0*var_if_glqpks[mynet,thatimpnode,peak,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,peak,1,0] : 0.0 : True
# ('mynet', 'thatimpnode', 'total', 0, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,0,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,0,0] : 0.0 : True
# ('mynet', 'thatimpnode', 'total', 1, 0) : 0.0 : var_if_glqpks[mynet,thatimpnode,total,1,0,0] - var_ifc_glqpk[mynet,thatimpnode,total,1,0] : 0.0 : True
# """
# assert expected_string == f.getvalue()
# from contextlib import redirect_stdout
# import io
# f = io.StringIO()
# with redirect_stdout(f):
# print('foobar')
# print(12)
# 12+3
# print('Got stdout: "{0}"'.format(f.getvalue()))
# *********************************************************************
# *********************************************************************
# *****************************************************************************
# *****************************************************************************