pumped_hydro

The module containing code allocating pumped hydro plants based on data from MaStR and NEP.

apply_voltage_level_thresholds(power_plants)

Assigns voltage level to power plants based on thresholds defined for the egon project.

Parameters:power_plants (pandas.DataFrame) – Power plants and their electrical capacity Returns:pandas.DataFrame – Power plants including voltage_level

get_location(unmatched)

Gets a geolocation for units which couldn’t be matched using MaStR data. Uses geolocator and the city name from NEP data to create longitude and latitude for a list of unmatched units.

Parameters:unmatched (pandas.DataFrame) – storage units from NEP which are not matched to MaStR but containing a city information Returns:

• unmatched (pandas.DataFrame) – Units for which no geolocation could be identified
• located (pandas.DataFrame) – Units with a geolocation based on their city information

match_storage_units(nep, mastr, matched, buffer_capacity=0.1, consider_location='plz', consider_carrier=True, consider_capacity=True)

Match storage_units (in this case only pumped hydro) from MaStR to list of power plants from NEP

Parameters:

• nep (pandas.DataFrame) – storage units from NEP which are not matched to MaStR
• mastr (pandas.DataFrame) – Pstorage_units from MaStR which are not matched to NEP
• matched (pandas.DataFrame) – Already matched storage_units
• buffer_capacity (float, optional) – Maximum difference in capacity in p.u. The default is 0.1.

Returns:

• matched (pandas.DataFrame) – Matched CHP
• mastr (pandas.DataFrame) – storage_units from MaStR which are not matched to NEP
• nep (pandas.DataFrame) – storage_units from NEP which are not matched to MaStR

select_mastr_pumped_hydro()

Select pumped hydro plants from MaStR

Returns:pandas.DataFrame – Pumped hydro plants from MaStR

select_nep_pumped_hydro()

Select pumped hydro plants from NEP power plants list

Returns:pandas.DataFrame – Pumped hydro plants from NEP list