pypsa-eur/doc/configtables/clustering.csv

1		Unit	Values	Description
2	simplify_network
3	-- to_substations	bool	{'true','false'}	Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones
4	-- algorithm	str	One of {‘kmeans’, ‘hac’, ‘modularity‘}
5	-- feature	str	Str in the format ‘carrier1+carrier2+...+carrierN-X’, where CarrierI can be from {‘solar’, ‘onwind’, ‘offwind’, ‘ror’} and X is one of {‘cap’, ‘time’}.
6	-- exclude_carriers	list	List of Str like [ 'solar', 'onwind'] or empy list []	List of carriers which will not be aggregated. If empty, all carriers will be aggregated.
7	-- remove stubs	bool	{'true','false'}	Controls whether radial parts of the network should be recursively aggregated. Defaults to true.
8	-- remove_stubs_across_borders	bool	{'true','false'}	Controls whether radial parts of the network should be recursively aggregated across borders. Defaults to true.
9	cluster_network
10	-- algorithm	str	One of {‘kmeans’, ‘hac’}
11	-- feature	str	Str in the format ‘carrier1+carrier2+...+carrierN-X’, where CarrierI can be from {‘solar’, ‘onwind’, ‘offwind’, ‘ror’} and X is one of {‘cap’, ‘time’}.
12	-- exclude_carriers	list	List of Str like [ 'solar', 'onwind'] or empy list []	List of carriers which will not be aggregated. If empty, all carriers will be aggregated.
13	-- consider_efficiency_classes	bool	{'true','false'}	Aggregated each carriers into the top 10-quantile (high), the bottom 90-quantile (low), and everything in between (medium).
14	aggregation_strategies
15	-- generators
16	-- -- {key}	str	{key} can be any of the component of the generator (str). It’s value can be any that can be converted to pandas.Series using getattr(). For example one of {min, max, sum}.	Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new generator.
17	-- buses
18	-- -- {key}	str	{key} can be any of the component of the bus (str). It’s value can be any that can be converted to pandas.Series using getattr(). For example one of {min, max, sum}.	Aggregates the component according to the given strategy. For example, if sum, then all values within each cluster are summed to represent the new bus.