midas-sbdata 1.0.1

A MIDAS module for Simbench datasets.

MIDAS Simbench Data Simulator

Description

This package contains a MIDAS module providing a simulator for Simbench data sets.

Although this package is intended to be used with MIDAS, it does not depend from anything MIDAS-related except for the midas-util package. You can use in any mosaik simulation scenario.

Installation

This package will usually installed automatically together with midas-mosaik. It is available on pypi, so you can install it manually with

pip install midas-sbdata

Usage

The complete documentation is available at https://midas-mosaik.gitlab.io/midas.

Inside of MIDAS

To use the Simbench data inside of MIDAS, just add sbdata to your modules

my_scenario:
  modules:
    - sbdata
    - ...

and configure it with:

  sbdata_params:
    my_grid_scope:
      step_size: 900
      grid_name: my_grid_scope
      start_date: 2020-01-01 00:00:00+0100
      cos_phi: 0.9
      filename: 1-LV-rural3--0-sw.hdf5
      data_path: path/to/hdf-specified-by-filename
      load_scaling: 1.0
      load_mapping: default
      sgen_scaling: 1.0
      sgen_mapping: default
      storage_scaling: 1.0
      storage_mapping: default
      interpolate: False
      randomize_data: False
      noise_factor: 0.2
      randomize_cos_phi: False
      seed: ~
      seed_max: 1_000_000

All of the attributes show their default values and can optionally be left out. The xxx_mapping attributes can either be default or a dictionary with a specific mapping. When default is used, the mapping defined in the powergrid profiles is used.

License

This software is released under the GNU Lesser General Public License (LGPL). See the license file for more information about the details.