edisgo.tools.powermodels_io
===========================

.. py:module:: edisgo.tools.powermodels_io


Functions
---------

.. autoapisummary::

   edisgo.tools.powermodels_io.to_powermodels
   edisgo.tools.powermodels_io.convert_storage_series
   edisgo.tools.powermodels_io.add_storage_from_edisgo
   edisgo.tools.powermodels_io.pypsa2ppc
   edisgo.tools.powermodels_io.ppc2pm


Module Contents
---------------

.. py:function:: to_powermodels(pypsa_net)

   Convert pypsa network to network dictionary format, using the pypower
   structure as an intermediate steps

   powermodels network dictionary:
   https://lanl-ansi.github.io/PowerModels.jl/stable/network-data/

   pypower caseformat:
   https://github.com/rwl/PYPOWER/blob/master/pypower/caseformat.py

   :param pypsa_net:
   :return:


.. py:function:: convert_storage_series(timeseries)

.. py:function:: add_storage_from_edisgo(edisgo_obj, psa_net, pm_dict)

   Read static storage data (position and capacity) from eDisGo and export to
   Powermodels dict


.. py:function:: pypsa2ppc(psa_net)

   Converter from pypsa data structure to pypower data structure

   adapted from pandapower's pd2ppc converter

   https://github.com/e2nIEE/pandapower/blob/911f300a96ee0ac062d82f7684083168ff052586/pandapower/pd2ppc.py



.. py:function:: ppc2pm(ppc, psa_net)

   converter from pypower datastructure to powermodels dictionary,

   adapted from pandapower to powermodels converter:
   https://github.com/e2nIEE/pandapower/blob/develop/pandapower/converter/pandamodels/to_pm.py

   :param ppc:
   :return: