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DEMOSES
DEMOSES-distributed-optimization
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eee0aa9e
Commit
eee0aa9e
authored
8 months ago
by
Christian Doh Dinga
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build consumer agent's optimization problem
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src/demoses_distibuted_optimization/build_consumer_agent.py
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src/demoses_distibuted_optimization/build_consumer_agent.py
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src/demoses_distibuted_optimization/build_consumer_agent.py
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eee0aa9e
import
pyomo.environ
as
pyo
def
build_consumer_agent
(
model
:
pyo
.
AbstractModel
)
->
pyo
.
AbstractModel
:
# Declare optimization variables
model
.
var_g
=
pyo
.
Var
(
model
.
time
,
name
=
'
demand
'
,
domain
=
pyo
.
Reals
,
initialize
=
0
)
# positive if consumer feeds power to the system
# Declare objective function
def
consumption_cost_rule
(
model
):
return
(
-
1
*
sum
(
model
.
λ_EOM
[
t
]
*
model
.
var_g
[
t
]
for
t
in
model
.
time
)
+
sum
(
model
.
ρ_EOM
/
2
*
(
model
.
var_g
[
t
]
-
model
.
g_bar
[
t
])
**
2
for
t
in
model
.
time
)
)
model
.
objective_function
=
pyo
.
Objective
(
rule
=
consumption_cost_rule
,
sense
=
pyo
.
minimize
)
# Declare energy balance constraint
def
energy_balance_rule
(
model
,
t
):
return
(
model
.
var_g
[
t
]
<=
model
.
pv_profile
[
t
]
-
model
.
demand_profile
[
t
])
model
.
energy_balance
=
pyo
.
Constraint
(
model
.
time
,
rule
=
energy_balance_rule
)
return
model
# # Example usage
# import yaml
# import pandas as pd
# from define_common_parameters import define_common_parameters
# from define_consumer_parameters import define_consumer_parameters
# def read_config(config_file):
# with open(config_file, 'r') as file:
# config = yaml.safe_load(file)
# return config
# data = read_config('config.yaml')
# ts = pd.read_csv('timeseries.csv', delimiter=';')
# consumer_agents = [id for id in data['Consumers'].keys()]
# mdict = {m: define_common_parameters(m, data) for m in consumer_agents}
# for agent, model in mdict.items():
# model = define_consumer_parameters(agent, model, data, ts)
# model = build_consumer_agent(model)
# model_instance = model.create_instance()
# print(model_instance.name)
# print()
# model_instance.pprint()
\ No newline at end of file
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