Rerunning with `extend_by_vres` results extreme overcapacity

Version Checks (indicate both or one)

• I have confirmed this bug exists on the lastest release of powerplantmatching.

• I have confirmed this bug exists on the current master branch of powerplantmatching.

Issue Description

Re-generating the collection with the extend_by_vres option produces a very high number of installed powerplants, particularly for PV and Wind.

The image below uses the default configuration (Europe). Wind is quite extreme.

For PV, I suspect the cause might be due mismatches in the coding of some technologies. Notice PV, Pv, Photovoltaics and Photovoltaics ground.

Reproducible Example

# Took 1h on my computer
import powerplantmatching as ppm

collection = ppm.collection.powerplants(
    update=True,
    extend_by_vres=True,
    fill_geopositions=True
)

stats = ppm.data.Capacity_stats()
ppm.plot.fueltype_totals_bar([collection, stats])

Expected Behavior

Two suggestions:

• A schema should be used to validate that the processed datasets conform to a given shape before they are passed to the matching algorithm. I suggest pandera.
• Consider adding some logic that 'trims' excessive capacities (when compared to annual country totals), as an optional callable function for further post-processing.

Installed Versions

Start with the reproducible call to ppm.collection.powerplants(update=True, extend_by_vres=True, fill_geopositions=True), then inspect how extend_by_vres processes PV and wind technologies before matching. Compare the resulting capacities with ppm.data.Capacity_stats() and the fuel-type totals plot. Done means rerunning the example no longer produces extreme overcapacity and the behavior is covered by a regression test.