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I have a question about referecing set in Pyomo objectives. Basically I have 2 options and I do not understand why one of it works whereas the other yields an error. Here you see them:

model.set_timeslots = pyo.RangeSet(0,95)

#Option1
def ObjectiveRule (model):
    return sum(model.variable_heatGeneration[t]  for t in model.set_timeslots)

model.objective_costs = pyo.Objective( rule=ObjectiveRule, sense =pyo.minimize)

#Option 2
def ObjectiveRule_2 (model, t):
    return sum(model.variable_heatGeneration[t])

model.objective_costs = pyo.Objective(model.set_timeslots, rule=ObjectiveRule_2, sense =pyo.minimize)

The second options leads to the error

TypeError: '_GeneralVarData' object is not iterable

Can you tell me what the difference is and why the second option does not work?

Reminder: Can nobody tell me what the difference is?

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The first option makes sense to me : you are returning a sum such as : $$ \sum_{t \in T} h_t $$

where $h_t$ represents your variable_heatGeneration and $T$ your set_timeslots.

The second option I do not understand and am not surprised an error is raised. You are returning the sum of a constant $h_t$. I believe the error

TypeError: '_GeneralVarData' object is not iterable

is raised because the object model.variable_heatGeneration[t] is constant and not an iterable object such as list. It is trying to sum over a constant which makes no sense.

In a sum, you need an iterable object, for example :

sum(x for x in range(10)) # sum over an iterable
sum(x for x in L) # if L is a list 
sum([x for x in range(10)]) # sum over a list

In option 2 you are doing something like

sum(x) # where x is a constant
# or 
sum(3)

To get rid of this specific error, try removing the sum :

#Option 2
def ObjectiveRule_2 (model, t):
    return model.variable_heatGeneration[t]

Note that this will probably create another error somewhere else, and it will not model the wanted cost function. Sticking with option $1$ is a better idea.

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  • $\begingroup$ Thanks Kuifje for your answer. You wrote "model.variable_heatGeneration[t] is constant" --> This is not true. The variable_heatGeneration is a decision variable that should be determined by the solver. It depends on the set t and has one value for every t. This is why we can in fact sum it up variable_heatGeneration [1] + variable_heatGeneration [2] + ... variable_heatGeneration [n] $\endgroup$ – PeterBe 14 hours ago
  • $\begingroup$ You wrote "To get rid of this specific error, try removing the sum "--> This does not make sense at all because I do want to calculate the sum in the objective function. $\endgroup$ – PeterBe 14 hours ago
  • $\begingroup$ I didn't say it would make any sense :) I said it would get rid of the specific error that is mentioned, and that indeed it does not model the wanted cost function. $\endgroup$ – Kuifje 14 hours ago
  • $\begingroup$ "model.variable_heatGeneration[t]" is a variable. But for a given $t$ (input of ObjectiveRule_2), it will be a constant (the value of the variable). In all cases it is not an iterable object so you cannot sum over it, when $t$ is fixed. $\endgroup$ – Kuifje 14 hours ago
  • $\begingroup$ Thanks for your answer and effort Kuifje. I really appreciate it. I do not understand why t is fixed in the scond option. I pass all the sets (model.set_timeslots) to the ObjectiveRule_2 (model, t) function. The variable model.variable_heatGeneration[t] depends on t and I just want to build the sum over all ts $\endgroup$ – PeterBe 12 hours ago

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