New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Medium-voltage grid statistics #189
Comments
Following types and subtypes of generation technologies are available in Dingo
Please consider as well the case that a subtype is undefined (see solar) |
I have some questions for @gplssm or @nesnoj :
station the vertical branch from cable_distr to node2, is not part of the ring but its connected to it. what does the .ring attribute says? |
Answers to questions above
|
Sorry for late reply, see edited answer above. |
I edited the function it calculates the "true rings" (the cycles in a graph) as the method It only works if the network, |
function is implemented here. |
The CB's attribute This implementation is quite odd and a better solution was to just use the attribute when doing something with the graph! Since it affects many places in the code, I'd prefer to leave it as it is, even if the solution is not very intuitive, though. We gonna implement this in a better way in eDisGo (cf. openego/eDisGo#23). On |
OK, I can comment out that part of the code so only "true" rings are treated as rings. The Number of agg LAs is already calculated in the stats. |
Cheers! |
Current structure for statistical analysis of grid data created with dingo and its methods are explained in the docs. The examples give an idea how to use it. Based on the existing code the statistics for MV grids are extended first.
Extend
calculate_mvgd_stats()
(and maybe alsond.to_dataframe()
such that folllowing items are containedcalculate_mvgd_stats()
in the docsThe text was updated successfully, but these errors were encountered: