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add plotting rules note and solver note

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Fabian Neumann 2019-10-03 16:21:59 +02:00
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commit 0dc42ef359
1 changed files with 17 additions and 2 deletions
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doc/tutorial.rst
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@ -72,13 +72,19 @@ For example, we may want to use the ERA-5 dataset for solar and not the default
:language: yaml :language: yaml
:lines: 48,91-92 :lines: 48,91-92
Finally, it is possible to pick a solver. For instance, this tutorial uses the open-source solver Ipopt and does not rely Finally, it is possible to pick a solver. For instance, this tutorial uses the open-source solvers CBC and Ipopt and does not rely
on the commercial solvers Gurobi or CPLEX (for which free academic licenses are available). on the commercial solvers Gurobi or CPLEX (for which free academic licenses are available).
.. literalinclude:: ../config.tutorial.yaml .. literalinclude:: ../config.tutorial.yaml
:language: yaml :language: yaml
:lines: 156-157 :lines: 156-157
.. note::
To run the tutorial, either install CBC and Ipopt (see instructions for :ref:`installation`).
Alternatively, choose another installed solver in the ``config.yaml`` at ``solving: solver:``.
Note, that we only note major changes to the provided default configuration that is comprehensibly documented in :ref:`config`. Note, that we only note major changes to the provided default configuration that is comprehensibly documented in :ref:`config`.
There are many more configuration options beyond what is adapted for the tutorial! There are many more configuration options beyond what is adapted for the tutorial!
@ -252,6 +258,9 @@ the wildcards given in ``scenario`` in the configuration file ``config.yaml`` ar
In this example we would not only solve a 6-node model of Germany but also a 2-node model. In this example we would not only solve a 6-node model of Germany but also a 2-node model.
How to analyse solved networks?
===============================
The solved networks can be analysed just like any other PyPSA network (e.g. in Jupyter Notebooks). The solved networks can be analysed just like any other PyPSA network (e.g. in Jupyter Notebooks).
.. code:: python .. code:: python
@ -263,3 +272,9 @@ The solved networks can be analysed just like any other PyPSA network (e.g. in J
... ...
For inspiration, read the `examples section in the PyPSA documentation <https://pypsa.readthedocs.io/en/latest/examples.html>`_. For inspiration, read the `examples section in the PyPSA documentation <https://pypsa.readthedocs.io/en/latest/examples.html>`_.
.. note::
There are rules for summaries and plotting available in the repository of PyPSA-Eur.
They are currently under revision and therefore not yet documented.