Solving PyPSA model with Gurobi in Google Colab - License problem

Answered

Sebastián Rivero Equiza

• August 07, 2022 16:37

Hello!

I am trying to solve an optimization problem with PyPSA in Google Colab using Gurobi as solver, which normally works perfectly fine on my local computer. When I try to run this in Google Colab I always receive the error of the size-limited license, although I have the correct non-size-limited academic license.

Before trying to run this in Google Colab I followed the steps indicated in the post "Google Colab: Installation and Licensing". The problem is that the model to be optimized is inside PyPSA and must not be created by myself with a line like

model = gp.Model(env=e)

as indicated in the aforementioned post.

So what I need is to find out how to make the model run in the correct environment.

I have run these lines of code to create the environment:

e = gp.Env(empty=True)
e.setParam('WLSACCESSID', 'your wls accessid (string)')
e.setParam('WLSSECRET', 'your wls secret (string)')
e.setParam('LICENSEID', <your license id (integer)>)
e.start()

And I use this dictionary to pass specify some parameters for the Gurobi Solver:

solver_options = {'Crossover':0,

                  'Method' :2,

                  'BarHomogeneous' :1

                  }

How can I make the PyPSA optimization problem run in the correct environment?

 

Thank you in advance for your help.

 

Regards,

 

Sebastian

0

• 

  David Torres Sanchez

  Gurobi Staff

  • August 08, 2022 10:00

  Hi Sebastian,
  
  Unfortunately, I think PyPSA uses Pyomo internally, which creates a default environment for you, so you cannot use the method you described.
  Try saving the license file to be accessible through your Google Colab instance and setting the \(\texttt{GRB_LICENSE_FILE}\) to point to this file (use the full path).
  
  Cheers, 
  David

  0
• 

  Sebastián Rivero Equiza

  • August 10, 2022 16:07

  

  

  

  Hello David,

  Thank you for your answer.

  Regards,

  Sebastián

  0

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