Modifying a model with linopy

[Agnès François]

Good afternoon everyone,

I was wondering if it was possible to modify the model of an already optimised network, and then optimise it again ?

I was doing that and not introducing a new network each time in order to skip the 'network.optimize.create_model' and creation of all my main constraints part, which takes about 10mn. I was then just updating one constraint, and running network.optimize.solve_model() again. However, it seems that results does not change and calling network.X only gave the results of the first optimisation made. Do you know if I have to create a new network every time or if there is something else I can do ?

Thanks in advance,

Agnès

[Fabian Neumann]

Hi Agnès,

The following should work:

n.optimize.create_model(...)

n.optimize.solve_model(...)

# modify n.model

n.optimize.solve_model(...)

See https://linopy.readthedocs.io/en/latest/manipulating-models.html

If you have different Python scripts, it may be a little more difficult, but you can import/export linopy models as netcdf file.

https://linopy.readthedocs.io/en/latest/api.html#io-functions

Best wishes,

Fabian N

[christo...@tu-berlin.de]

Thank you for your mail. I am on vacation until Monday 21st August. I will
respond to you after I return.

Best regards,
Christoph Tries

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+49 157 7664 5888

[Agnès François]

Hello Fabian,

Thank you for your answer, I had this in my code already actually. After my script has run, I think the only way to compare the different networks would be as you said to export them during the run (results of a network being overwritten at every step).

Best regards,

Agnès