def minimize_cost(self, c_blocks=(), r_blocks=()):
""" Builds objective function that minimises the total costs.
Costs included are:
opex_var,
opex_fix,
curtailment_costs (dispatch sources),
annualised capex (investment components)
Parameters:
------------
self : pyomo model instance
c_blocks : pyomo blocks containing components that are included in
cost terms of objective function
r_blocks : pyomo blocks containing components that are included in revenue
terms of objective function
"""
expr = 0
c_blocks = (str(transformer.Simple), str(transformer.CHP), str(source.FixedSource))
r_blocks = ()
blocks = [
block
for block in self.block_data_objects(active=True)
if not isinstance(block, solph.optimization_model.OptimizationModel)
]
for block in blocks:
if block.name in c_blocks:
if block.name == str(transformer.Storage):
ref = "capacity"
expr += objexpr.add_opex_var(self, self.simple_storage, ref="input")
else:
ref = "output"
# variable costs
expr += objexpr.add_opex_var(self, block, ref="output")
# fix costs
expr += objexpr.add_opex_fix(self, block, ref=ref)
# investment costs
if block.optimization_options.get("investment", False):
expr += objexpr.add_capex(self, block, ref=ref)
# revenues
if block.name in r_blocks:
expr += objexpr.add_revenues(self, block, ref="output")
# costs for dispatchable sources
if hasattr(self, str(source.DispatchSource)):
expr += objexpr.add_curtailment_costs(self, getattr(self, str(source.DispatchSource)))
if getattr(self, str(Bus)).shortage_uids:
expr += objexpr.add_shortage_slack_costs(self, block)
# artificial costs for excess or shortage
if getattr(self, str(Bus)).excess_uids:
expr += objexpr.add_excess_slack_costs(self, block)
self.objective = po.Objective(expr=expr)
def minimize_cost(self, cost_objects=None, revenue_objects=None):
""" Builds objective function that minimises the total costs.
Costs included are:
opex_var,
opex_fix,
curtailment_costs (dispatch sources),
annualised capex (investment components)
Parameters
----------
self : pyomo model instance
cost_blocks : array like
list containing classes of objects that are included in
cost terms of objective function
revenue_blocks : array like
list containing classes of objects that are included in revenue
terms of objective function
"""
expr = 0
# TODO: Fix naming
c_blocks = cost_objects
r_blocks = revenue_objects
if cost_objects is None:
c_blocks = [str(transformer.Simple),
str(transformer.TwoInputsOneOutput),
str(transformer.VariableEfficiencyCHP),
str(transformer.SimpleExtractionCHP),
str(transformer.Storage),
str(transformer.CHP),
str(source.FixedSource),
str(source.Commodity)]
if revenue_objects is None:
r_blocks = []
blocks = [block for block in self.block_data_objects(active=True)
if not isinstance(block,
solph.optimization_model.OptimizationModel)]
for block in blocks:
if block.name in c_blocks:
if block.name == str(transformer.Storage):
ref = 'capacity'
expr += objexpr.add_opex_var(self,
getattr(self,
str(transformer.Storage)),
ref='input')
else:
ref = 'output'
# variable costs
expr += objexpr.add_opex_var(self, block, ref='output')
# fix costs
if block != str(source.Commodity):
expr += objexpr.add_opex_fix(self, block, ref=ref)
# investment costs
if block.optimization_options.get('investment', False):
expr += objexpr.add_capex(self, block, ref=ref)
if hasattr(block, 'z_start'):
expr += objexpr.add_startup_costs(self, block)
# revenues
if block.name in r_blocks:
expr += objexpr.add_revenues(self, block, ref='output')
# costs for dispatchable sources
if hasattr(self, str(source.DispatchSource)):
expr += \
objexpr.add_curtailment_costs(self,
getattr(self,
str(source.DispatchSource)))
# artificial costs for excess or shortage
if hasattr(self, str(ExcessSlack)):
expr += objexpr.add_excess_slack_costs(self,
getattr(self, str(ExcessSlack)))
if hasattr(self, str(ShortageSlack)):
expr += objexpr.add_shortage_slack_costs(self,
getattr(self, str(ShortageSlack)))
self.objective = po.Objective(expr=expr)
def objective_function_expressions():
objfuncexprs.add_opex_var(om, block, ref='output')
objfuncexprs.add_opex_fix(om, block, ref='output')
objfuncexprs.add_curtailment_costs(om, block)
def objective_function_expressions():
objfuncexprs.add_opex_var(om, block, ref='output')
objfuncexprs.add_opex_fix(om, block, ref='capacity')
def objective_function_expressions():
objfuncexprs.add_opex_var(om, block, ref='output')
objfuncexprs.add_opex_fix(om, block, ref='output')
objfuncexprs.add_input_costs(om, block)
objfuncexprs.add_revenues(om, block)