Power Grid Model IO
Power Grid Model IO is a tool to convert grid data to and from the native data format of power-grid-model. Currently, conversions from Vision excel exports is possible. Pandapower conversions are under development.
Install from PyPI
You can directly install the package from PyPI.
pip install power-grid-model-io
Install from Conda
If you are using conda
, you can directly install the package from conda-forge
channel.
conda install -c conda-forge power-grid-model-io
Citations
If you are using Power Grid Model IO in your research work, please consider citing our library using the references in Citation
Contents
Detailed contents of the documentation are structured as follows.
- power_grid_model_io
- cli
- converters
- data_stores
- data_types
- functions
has_value()
value_or_default()
value_or_zero()
complex_inverse_real_part()
complex_inverse_imaginary_part()
get_winding()
degrees_to_clock()
is_greater_than()
both_zeros_to_nan()
relative_no_load_current()
reactive_power()
power_wind_speed()
get_winding_from()
get_winding_to()
get_winding_1()
get_winding_2()
get_winding_3()
get_clock()
get_clock_12()
get_clock_13()
reactive_power_to_susceptance()
pvs_power_adjustment()
- mappings
- utils