Unfeasible Constraint- Unable to figure it out

Answered

Samin Haque

April 20, 2023 19:21 Edited

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#%% 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

• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  November 13, 2026 01:44

  This post is more than two years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum, or try Gurobot, our chatbot interface offering instant, expert-level support.
• 

  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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