Hi Angelina,
to label the BODF matrix, you can do the following:
pd.DataFrame(sun.BODF, index=sun.branches_i(), columns=sun.branches_i())
The function branches_i() lists Transformers and Lines in the correct
ordering.
Best wishes,
Fabian N
On 30/03/2021 17:46, Angelina Bintoudi wrote:
>
> Dear PyPSA Community,
>
> I am performing contingency analysis for meshed DC networks (named "mg"
> which are essentially DC microgrids and therefore each mg creates only
> one sub-network named "sun") via metrics that I wish to extract from
> BODF matrices, however, I am confused as to the interpretation of results.
>
> To be more precise, BODF results are shown like this:
>
> Annotation 2021-03-30 183559.png
>
> However, in order to be sure about which branch we are talking about, I
> need to know the correlation between the index/columns of BODF and the
> actual naming that I have given to my network.
>
> I attempted on assigning the indexes of the /mg.lines.index/ on the BODF
> matrix but I am not sure if there is a one-to-one correlation. For example:
>
> Annotation 2021-03-30 183559.png
>
> in other words, the indexes/columns *[0,1,2,3,...7] correspond to the
> ordering of the lines *in the Network object *[Line_1_2, Line_1_6 ....
> Line_5_6] *(given the fact that I only have one Sub-network) ?
>
> Thank you very much in advance for your time! Virtual cheers :D
> All the best,
> Angelina
>
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