Open ulfmueller opened 9 months ago
First running example is implemented here. But many details remain to be done:
* [ ] address seasonal storage behavior considering the interface between pre market model and UC market model ([somewhere here](https://github.com/openego/eTraGo/blob/features/market-simulation/etrago/execute/market_optimization.py#L170-L172). How to do might be found in the master thesis by @KathiEsterl concerning snapshot clustering or NEP insights (or further literature research).
Do you already have a concept for this? I mean sth. like which storages should be affected by this and which data is exchanged? I could implement it (and also think about the questions I had, I just wanted to know if there is already sth. there)
in particular for our market simulation check and adjust UC constraints. One possible 'easy to access' source at pypsa-eur Another source at flexABLE based on Künzel
I think it makes sense to wait for #663 and then use the optimize() function instead of lopf() in order to get the complete picture of all UC constraints.