Unfeasible Constraint- Unable to figure it out

Answered

Samin Haque

• April 20, 2023 19:21
• Edited

#%% Run OPF
start_time = time.time()
hours = 10
for i in range(hours):    
    print('---Running hour, ',i)
    fsthr=i+32
    lsthr=i+1+32
    network.lopf(network.snapshots[fsthr:lsthr],solver_name='gurobi',pyomo=False)

 

This is the code I am trying to run. it is giving me infeasible constraint and therefore gives me 0 as an answer. This is the error its giving me. 

Solved in 0 iterations and 0.01 seconds (0.01 work units)
Infeasible or unbounded model
WARNING:pypsa.linopf:Optimization failed with status warning and termination condition infeasible or unbounded

 

how can I check for what constraint is not being met?  

Related to

• PyPSA
• Infeasible

1

• 

  Maliheh Aramon

  Gurobi Staff

  • April 20, 2023 22:52

  Hi Samin, 

  Please have a look at the articles below and follow the instructions explained:

  • How do I resolve the error Model is infeasible or unbounded?
  • How do I determine why my model is infeasible?

  It seems to me that you are using a third-party solver PyPSA. Given my quick look over this solver's Github repo, it seems there is no API available for the computeIIS() method. You can consider writing the model into a file and then use the gurobipy API directly to compute an IIS. 

  Best regards,

  Maliheh

  0

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