================== Storage ================== .. note:: Since storage power values are given in the consumer system, positive power models charging and negative power models discharging. .. seealso:: :ref:`Unit Systems and Conventions ` Create Function ===================== .. autofunction:: pandapower.create.create_storage Input Parameters ===================== *net.storage* .. tabularcolumns:: |p{0.10\linewidth}|p{0.10\linewidth}|p{0.25\linewidth}|p{0.40\linewidth}| .. csv-table:: :file: storage_par.csv :delim: ; :widths: 10, 10, 25, 40 .. |br| raw:: html
\*necessary for executing a power flow calculation |br| \*\*optimal power flow parameter Electric Model ================= Storages are modelled as PQ-buses in the power flow calculation: .. image:: storage.png :width: 8em :alt: alternate Text :align: center The PQ-Values are calculated from the parameter table values as: .. math:: :nowrap: \begin{align*} P_{storage} &= p\_mw \cdot scaling \\ Q_{storage} &= q\_mvar \cdot scaling \\ \end{align*} .. note:: The apparent power value sn_mva, state of charge soc and storage capacity max_e_mwh are provided as additional information for usage in controller or other applications based on pandapower. It is not considered in the power flow! Result Parameters ========================== *net.res_storage* .. tabularcolumns:: |p{0.10\linewidth}|p{0.10\linewidth}|p{0.50\linewidth}| .. csv-table:: :file: storage_res.csv :delim: ; :widths: 10, 10, 50 The power values in the net.res_storage table are equivalent to :math:`P_{storage}` and :math:`Q_{storage}`.