Rule `cluster_network`¶

Workflow Diagram

See the complete workflow in the repository.

digraph snakemake_dag { graph [bgcolor=white, margin=0, size="8,5" ]; node [fontname=sans, fontsize=10, penwidth=2, shape=box, style=rounded ]; edge [color=grey, penwidth=2 ]; 1 [color="0.50 0.6 0.85", label=prepare_network]; 2 [color="0.36 0.6 0.85", fillcolor=gray, label=cluster_network, style=filled]; 2 -> 1; 3 [color="0.14 0.6 0.85", label=simplify_network]; 3 -> 2; }

Script Documentation¶

Creates networks clustered to {cluster} number of zones with aggregated buses, generators and transmission corridors.

Relevant Settings¶

.. code:: yaml

clustering:
    aggregation_strategies:

focus_weights:

solving:
    solver:
        name:

lines:
    length_factor:

.. seealso:: Documentation of the configuration file config.yaml at :ref:toplevel_cf, :ref:renewable_cf, :ref:solving_cf, :ref:lines_cf

Inputs¶

resources/regions_onshore_elec_s{simpl}.geojson: confer :ref:simplify
resources/regions_offshore_elec_s{simpl}.geojson: confer :ref:simplify
resources/busmap_elec_s{simpl}.csv: confer :ref:simplify
networks/elec_s{simpl}.nc: confer :ref:simplify
data/custom_busmap_elec_s{simpl}_{clusters}.csv: optional input

Outputs¶

resources/regions_onshore_elec_s{simpl}_{clusters}.geojson:

.. image:: /img/regions_onshore_elec_s_X.png :width: 33 %
resources/regions_offshore_elec_s{simpl}_{clusters}.geojson:

.. image:: /img/regions_offshore_elec_s_X.png :width: 33 %
resources/busmap_elec_s{simpl}_{clusters}.csv: Mapping of buses from networks/elec_s{simpl}.nc to networks/elec_s{simpl}_{clusters}.nc;
resources/linemap_elec_s{simpl}_{clusters}.csv: Mapping of lines from networks/elec_s{simpl}.nc to networks/elec_s{simpl}_{clusters}.nc;
networks/elec_s{simpl}_{clusters}.nc:

.. image:: /img/elec_s_X.png :width: 40 %

Description¶

.. note::

**Why is clustering used both in** ``simplify_network`` **and** ``cluster_network`` **?**

    Consider for example a network ``networks/elec_s100_50.nc`` in which
    ``simplify_network`` clusters the network to 100 buses and in a second
    step ``cluster_network``` reduces it down to 50 buses.

    In preliminary tests, it turns out, that the principal effect of
    changing spatial resolution is actually only partially due to the
    transmission network. It is more important to differentiate between
    wind generators with higher capacity factors from those with lower
    capacity factors, i.e. to have a higher spatial resolution in the
    renewable generation than in the number of buses.

    The two-step clustering allows to study this effect by looking at
    networks like ``networks/elec_s100_50m.nc``. Note the additional
    ``m`` in the ``{cluster}`` wildcard. So in the example network
    there are still up to 100 different wind generators.

    In combination these two features allow you to study the spatial
    resolution of the transmission network separately from the
    spatial resolution of renewable generators.

**Is it possible to run the model without the** ``simplify_network`` **rule?**

    No, the network clustering methods in the PyPSA module
    `pypsa.clustering.spatial <https://github.com/PyPSA/PyPSA/blob/master/pypsa/networkclustering.py>`_
    do not work reliably with multiple voltage levels and transformers.

.. tip:: The rule :mod:cluster_all_networks runs for all scenario s in the configuration file the rule :mod:cluster_network.

Exemplary unsolved network clustered to 512 nodes:

.. image:: /img/elec_s_512.png :width: 40 % :align: center

Exemplary unsolved network clustered to 256 nodes:

.. image:: /img/elec_s_256.png :width: 40 % :align: center

Exemplary unsolved network clustered to 128 nodes:

.. image:: /img/elec_s_128.png :width: 40 % :align: center

Exemplary unsolved network clustered to 37 nodes:

.. image:: /img/elec_s_37.png :width: 40 % :align: center

`distribute_clusters(inputs, build_shape_options, country_list, distribution_cluster, n, n_clusters, focus_weights=None, solver_name=None)` ¶

Determine the number of clusters per country.

`groupby_bus_carrier(network, aggregation_strategies, exclude_carriers=[])` ¶

Group generators and storage units by (bus, carrier).

Parameters¶

network : pypsa.Network The PyPSA network to modify in-place. aggregation_strategies : dict Aggregation strategies for different columns. exclude_carriers : list, optional List of carriers to exclude from grouping, by default [].

Returns¶

None

Rule cluster_network¶