So one problem currently is that PyPSA-Eur thinks UA is synchronized with continental Europe, which it is not. Well not all of it, there is a small Island in the border region that is synchronized with continental Europe. I tried to find out where the B2B converters are, but I couldn't find them. As all studies EU + UA I can think of will assume synchronisation, I'd propose to keep synchronised.

If somebody wants to extend this investigation:

• https://www.lowcarbonukraine.com/wp-content/uploads/Synchronising-Ukraine%C2%B4s-and-Europe%C2%B4s-electricity-grids.pdf
• https://op.europa.eu/en/publication-detail/-/publication/785f224b-93cd-11e9-9369-01aa75ed71a1
• https://en.wikipedia.org/wiki/Burshtyn_TES
• https://en.wikipedia.org/wiki/Rzesz%C3%B3w%E2%80%93Khmelnytskyi_powerline
• https://en.wikipedia.org/wiki/Vetrino%E2%80%93Isaccea%E2%80%93Yuzhnoukrainsk_powerline
• https://en.wikipedia.org/wiki/Albertirsa%E2%80%93Zakhidnoukrainska%E2%80%93Vinnytsia_powerline

PR for new 750kV standard line type in PyPSA created at PyPSA/PyPSA#369

build_hydro requires input from the EIA. The last time we retrieved the data from there was 2017, they changed their data access and csv format since then quite abit. For prototyping, instead of adjusting all scripts and rule, I've added the values for Ukraine and Moldova to the EIA data file. See attached.

EIA_hydro_generation_2000_2014.csv

• Needs to be added to the databundle.

edit:

With the updated EIA data build_hydro runs without issues for MD. I have no reason to believe it would not work for UA, I can' test it atm as I don't have access to the new cutouts right now.

Two things we should track (seperate issues):

Quality
Plotting inflow from build_hydro reveals unrealistic peaks for MD. A similar peak is also present for DE, other countries were not investigated. The peaks in both cases exceed what is possible with existing hydro capacities (DE: factor 2 ca. 4.5 GW installed, MD: factor 5-10, ca. 50 MW installed)

Since these are only temporary peaks they probably don't affect the results too much, also because they are relatively low.

Workflow
The EIA data format from our datasource changed. Suggestions

• Automatic download of EIA data OR update the EIA .csv file with hydro generation to new dataformat
• substitute the vresutils dependency in build_hydro by writing the pd.read_csv statement directl.y

if you want to run the last commits yourself (add_electricity), you need to generate or download the input data GDP_PPP_30arcsec_v3_mapped.csv once and move the file into pypsa-eur/data/bundle.
edit: in case you download the data and don't re-generate it, you should rename GDP_PPP_30arcsec_v3_mapped_default.csv to GDP_PPP_30arcsec_v3_mapped.csv

Available here:
https://github.com/martacki/pypsa-ua_gdp_data

Caution: Quick&Dirty solution; in case you execute the script - it runs very slow!! (~2h on my local machine)

if you want to run the last commits yourself (add_electricity), you need to generate or download the input data GDP_PPP_30arcsec_v3_mapped.csv once and move the file into pypsa-eur/data/bundle. edit: in case you download the data and don't re-generate it, you should rename GDP_PPP_30arcsec_v3_mapped_default.csv to GDP_PPP_30arcsec_v3_mapped.csv

Available here: https://github.com/martacki/pypsa-ua_gdp_data

Caution: Quick&Dirty solution; in case you execute the script - it runs very slow!! (~2h on my local machine)

How does the quality of distributing load based on this look? We two already talked about it, but we could use the same datasets and roll-out the same approach for everywhere and instead drop the NUTS3 approach currently used.

PyPSA 0.19.2 is out on PyPI with 750kV line type, conda may take 24h.

new cutouts now available at: https://zenodo.org/record/6350001#.Yi3p9Lko8UE

Just for reference. This PR is merged because of ENTSO-E news:

"Continental European TSOs announce completion of synchronisation project with Ukrenergo and significant increase in export capacity from Continental Europe to Ukraine. https://www.entsoe.eu/news/2023/11/28/continental-european-tsos-announce-completion-of-synchronisation-project-with-ukrenergo-and-significant-increase-in-export-capacity-from-continental-europe-to-ukraine/" 🇪🇺