Hi everyone,
I’m working with the data from the BZR by ENTSO-E and would like to use PyPSA for my analysis. Over the past few days, I’ve been attempting to import the grid data for Germany into PyPSA. Initially, I thought I could use the Pandapower import functionality and convert the network to PyPSA. While importing the data into Pandapower worked, the conversion to PyPSA has not been successful. I looked at the conversion code and am not really convinced that I’m able to batch it in a way that I would trust the results of the conversion.
So yesterday, I looked into Pandapower’s code for CIM imports and am now considering developing my own import structure to bring the data into PyPSA. It will require some data transformation, as elements like three-winding transformers, switches etc. are missing. However, before I spend a lot of time on this, I wanted to ask the community for advice.
Here are my questions:
- Is there an existing method to import data in CGMES format (as provided by ENTSO-E) into PyPSA? It seems like I might be overlooking something.
- Should I focus on using Pandapower and recreate the BZR study there? This approach would also yield usable results, though it’s not as direct as importing into PyPSA, and considering that things like three-winding transformers are already part of it, I would not need to transform them in the import process.
For context, I know PyPSA-Eu, and my supervisor wants to work with the BZR data. While I could convert the data to CSV files (as used in PyPSA-Eu), I’m considering developing a direct import method for PyPSA. This might not only save time but also contribute a useful feature to PyPSA in the future (especially considering the previous attempt to implement this is a bit dated).
Any guidance, suggestions, or recommendations would be much appreciated!