edisgo.io.powermodels_io
¶
This module provides tools to convert eDisGo representation of the network
topology and timeseries to PowerModels network data format and to retrieve results from
PowerModels OPF in PowerModels network data format to eDisGo representation.
Call to_powermodels()
to retrieve the PowerModels network container and
from_powermodels()
to write OPF results to edisgo object.
Module Contents¶
Functions¶
|
Convert eDisGo representation of the network topology and timeseries to |
|
Convert results from optimization in PowerModels network data format to eDisGo data |
|
Calculate impedance for parallel transformers and aggregate them. Replace |
- edisgo.io.powermodels_io.to_powermodels(edisgo_object, s_base=1, flexible_cps=None, flexible_hps=None, flexible_loads=None, flexible_storage_units=None, opf_version=1)[source]¶
Convert eDisGo representation of the network topology and timeseries to PowerModels network data format.
- Parameters
edisgo_object (
EDisGo
) –s_base (int) – Base value of apparent power for per unit system. Default: 1 MVA.
flexible_cps (numpy.ndarray or None) – Array containing all charging points that allow for flexible charging.
flexible_hps (numpy.ndarray or None) – Array containing all heat pumps that allow for flexible operation due to an attached heat storage.
flexible_loads (numpy.ndarray or None) – Array containing all flexible loads that allow for application of demand side management strategy.
flexible_storage_units (numpy.ndarray or None) – Array containing all flexible storages. Non-flexible storage units operate to optimize self consumption. Default: None.
opf_version (int) – Version of optimization models to choose from. Must be one of [1, 2, 3, 4]. For more information see
edisgo.opf.powermodels_opf.pm_optimize()
. Default: 1.
- Returns
First dictionary contains all network data in PowerModels network data format. Second dictionary contains time series of HV requirement for each flexibility retrieved from overlying_grid component of edisgo object and reduced by non-flexible components.
- Return type
- edisgo.io.powermodels_io.from_powermodels(edisgo_object, pm_results, hv_flex_dict, s_base=1)[source]¶
Convert results from optimization in PowerModels network data format to eDisGo data format and updates timeseries values of flexibilities on eDisGo object.
- Parameters
edisgo_object (
EDisGo
) –pm_results (dict or str) – Dictionary or path to json file that contains all optimization results in PowerModels network data format.
hv_flex_dict (dict) – Dictionary containing time series of HV requirement for each flexibility retrieved from overlying grid component of edisgo object.
s_base (int) – Base value of apparent power for per unit system. Default: 1 MVA.
- edisgo.io.powermodels_io.aggregate_parallel_transformers(psa_net)[source]¶
Calculate impedance for parallel transformers and aggregate them. Replace psa_net.transformers dataframe by aggregated transformer dataframe.
- Parameters
psa_net (PyPSA.Network) – PyPSA.Network representation of network.