def setScenarioData(self):
"""
Method to setup the scenario data for scenario tree construction
@ In, None
@ Out, None
"""
ModelBase.setScenarioData(self)
def __init__(self):
"""
Constructor
@ In, None
@ Out, None
"""
ModelBase.__init__(self)
def writeOutput(self, filename):
"""
Method used to output the optimization results
@ In, filename, string, filename of output file
@ Out, None
"""
ModelBase.writeOutput(self,filename)
def printScenarioSolution(self, stsolver):
"""
Output optimization solution to screen
@ In, stsolver, instance, pyomo stochastic programming solver instance
@ Out, None
"""
ModelBase.printScenarioSolution(self, stsolver)
self.collectPriorityOutputs(stsolver.root_Var_solution())
obj = stsolver.root_E_obj()
logger.info("Expecatation of NPV take over scenarios = %16.4f" %(obj))
def printSolution(self, model):
"""
Output optimization solution to screen
@ In, model, instance, pyomo optimization model
@ Out, outputDict, dict, dictionary stores the outputs
"""
outputDict = ModelBase.printSolution(self, model)
return outputDict
def createModel(self):
"""
This method is used to create pyomo model.
@ In, None
@ Out, model, pyomo.AbstractModel, abstract pyomo model
"""
model = ModelBase.createModel(self)
return model
def addAdditionalConstraints(self, model):
"""
Add specific constraints for DROMCKP problems
@ In, model, pyomo model instance, pyomo abstract model
@ Out, model, pyomo model instance, pyomo abstract model
"""
model = ModelBase.addAdditionalConstraints(self, model)
return model
def addAdditionalParams(self, model):
"""
Add specific Params for MCKP problems
@ In, model, pyomo model instance, pyomo abstract model
@ Out, model, pyomo model instance, pyomo abstract model
"""
model = ModelBase.addAdditionalParams(self, model)
return model
def initialize(self, initDict):
"""
Mehod to initialize
@ In, initDict, dict, dictionary of preprocessed input data
{
'Sets':{setName: list of setValues},
'Parameters':{paramName:{setsIndex:paramValue}} or {paramName:{'None':paramValue}},
'Settings':{xmlTag:xmlVal},
'Meta':{paramName:{setIndexName:indexDim}} or {paramName:None},
'Uncertainties':{paramName:{'scenarios':{scenarioName:{setIndex:uncertaintyVal}}, 'probabilities': [ProbVals]}}
}
@ Out, None
"""
ModelBase.initialize(self, initDict)
## update lower and upper bounds for variables
indices = list(self.sets['investments'])
self.lowerBounds = self.setBounds(self.lowerBounds, indices, 'lowerBounds')
self.upperBounds = self.setBounds(self.upperBounds, indices, 'upperBounds')
def addExpressions(self, model):
"""
Add specific expressions for MCKP problems
@ In, model, pyomo model instance, pyomo abstract model
@ Out, model, pyomo model instance, pyomo abstract model
"""
model = ModelBase.addExpressions(self, model)
model.firstStageCost = pyomo.Expression(rule=self.computeFirstStageCost)
model.secondStageCost = pyomo.Expression(rule=self.computeSecondStageCost)
return model