# -*- coding: utf-8 -*-
"""Limits for investments.
SPDX-FileCopyrightText: Uwe Krien <krien@uni-bremen.de>
SPDX-FileCopyrightText: Simon Hilpert
SPDX-FileCopyrightText: Patrik Schönfeldt
SPDX-FileCopyrightText: Johannes Röder
SPDX-FileCopyrightText: Johannes Kochems
SPDX-FileCopyrightText: Johannes Giehl
SPDX-License-Identifier: MIT
"""
from pyomo import environ as po
from oemof.solph._plumbing import sequence
[docs]def investment_limit(model, limit=None):
r"""Set an absolute limit for the total investment costs of an investment
optimization problem (over all periods in case of a multi-period model):
.. math:: \sum_{investment\_costs} \leq limit
Parameters
----------
model : oemof.solph._models.Model
Model to which the constraint is added
limit : float
Absolute limit of the investment (i.e. RHS of constraint)
"""
def investment_rule(m):
expr = 0
if hasattr(m, "InvestmentFlowBlock"):
expr += m.InvestmentFlowBlock.investment_costs
if hasattr(m, "GenericInvestmentStorageBlock"):
expr += m.GenericInvestmentStorageBlock.investment_costs
if hasattr(m, "SinkDSMOemofInvestmentBlock"):
expr += m.SinkDSMOemofInvestmentBlock.investment_costs
if hasattr(m, "SinkDSMDIWInvestmentBlock"):
expr += m.SinkDSMDIWInvestmentBlock.investment_costs
if hasattr(m, "SinkDSMDLRInvestmentBlock"):
expr += m.SinkDSMDLRInvestmentBlock.investment_costs
return expr <= limit
model.investment_limit = po.Constraint(rule=investment_rule)
return model
def investment_limit_per_period(model, limit=None):
r"""Set an absolute limit for the total investment costs of a
investment optimization problem for each period
of the multi-period problem.
.. math::
\sum_{investment\_costs(p)} \leq limit(p)
\forall p \in \textrm{PERIODS}
Parameters
----------
model : oemof.solph.Model
Model to which the constraint is added
limit : sequence of float, :math:`limit(p)`
Absolute limit of the investment for each period
(i.e. RHS of constraint)
"""
if model.es.periods is None:
msg = (
"investment_limit_per_period is only applicable "
"for multi-period models.\nIn order to create such a model, "
"explicitly set attribute `periods` of your energy system."
)
raise ValueError(msg)
if limit is not None:
limit = sequence(limit)
else:
msg = (
"You have to provide an investment limit for each period!\n"
"If you provide a scalar value, this will be applied as a "
"limit for each period."
)
raise ValueError(msg)
def investment_period_rule(m, p):
expr = 0
if hasattr(m, "InvestmentFlowBlock"):
expr += m.InvestmentFlowBlock.period_investment_costs[p]
if hasattr(m, "GenericInvestmentStorageBlock"):
expr += m.GenericInvestmentStorageBlock.period_investment_costs[p]
if hasattr(m, "SinkDSMOemofInvestmentBlock"):
expr += m.SinkDSMOemofInvestmentBlock.period_investment_costs[p]
if hasattr(m, "SinkDSMDIWInvestmentBlock"):
expr += m.SinkDSMDIWInvestmentBlock.period_investment_costs[p]
if hasattr(m, "SinkDSMDLRInvestmentBlock"):
expr += m.SinkDSMDLRInvestmentBlock.period_investment_costs[p]
return expr <= limit[p]
model.investment_limit_per_period = po.Constraint(
model.PERIODS, rule=investment_period_rule
)
return model
[docs]def additional_investment_flow_limit(model, keyword, limit=None):
r"""
Global limit for investment flows weighted by an attribute keyword.
This constraint is only valid for Flows not for components such as an
investment storage.
The attribute named by keyword has to be added to every Investment
attribute of the flow you want to take into account.
Total value of keyword attributes after optimization can be retrieved
calling the `oemof.solph._models.Model.invest_limit_${keyword}()`.
.. math::
\sum_{p \in \textrm{PERIODS}}
\sum_{i \in IF} P_{i}(p) \cdot w_i \leq limit
With `IF` being the set of InvestmentFlows considered for the integral
limit.
The symbols used are defined as follows
(with Variables (V) and Parameters (P)):
+------------------+---------------------------------------+------+--------------------------------------------------------------+
| symbol | attribute | type | explanation |
+==================+=======================================+======+==============================================================+
| :math:`P_{i}(p)` | `InvestmentFlowBlock.invest[i, o, p]` | V | invested capacity of investment flow in period p |
+------------------+---------------------------------------+------+--------------------------------------------------------------+
| :math:`w_i` | `keyword` | P | weight given to investment flow named according to `keyword` |
+------------------+---------------------------------------+------+--------------------------------------------------------------+
| :math:`limit` | `limit` | P | global limit given by keyword `limit` |
+------------------+---------------------------------------+------+--------------------------------------------------------------+
Parameters
----------
model : oemof.solph.Model
Model to which constraints are added.
keyword : attribute to consider
All flows with Investment attribute containing the keyword will be
used.
limit : numeric
Global limit of keyword attribute for the energy system.
Note
----
The Investment attribute of the considered (Investment-)flows requires an
attribute named like keyword!
Examples
--------
>>> import pandas as pd
>>> from oemof import solph
>>> date_time_index = pd.date_range('1/1/2020', periods=6, freq='H')
>>> es = solph.EnergySystem(
... timeindex=date_time_index,
... infer_last_interval=False,
... )
>>> bus = solph.buses.Bus(label='bus_1')
>>> sink = solph.components.Sink(label="sink", inputs={bus:
... solph.flows.Flow(nominal_value=10, fix=[10, 20, 30, 40, 50])})
>>> src1 = solph.components.Source(
... label='source_0', outputs={bus: solph.flows.Flow(
... nominal_value=solph.Investment(
... ep_costs=50, custom_attributes={"space": 4},
... ))
... })
>>> src2 = solph.components.Source(
... label='source_1', outputs={bus: solph.flows.Flow(
... nominal_value=solph.Investment(
... ep_costs=100, custom_attributes={"space": 1},
... ))
... })
>>> es.add(bus, sink, src1, src2)
>>> model = solph.Model(es)
>>> model = solph.constraints.additional_investment_flow_limit(
... model, "space", limit=1500)
>>> a = model.solve(solver="cbc")
>>> int(round(model.invest_limit_space()))
1500
""" # noqa: E501
invest_flows = {}
for i, o in model.flows:
if hasattr(model.flows[i, o].investment, keyword):
invest_flows[(i, o)] = model.flows[i, o].investment
limit_name = "invest_limit_" + keyword
setattr(
model,
limit_name,
po.Expression(
expr=sum(
model.InvestmentFlowBlock.invest[inflow, outflow, p]
* getattr(invest_flows[inflow, outflow], keyword)
for (inflow, outflow) in invest_flows
for p in model.PERIODS
)
),
)
setattr(
model,
limit_name + "_constraint",
po.Constraint(expr=(getattr(model, limit_name) <= limit)),
)
return model
