midas-sndata 2.1.0

A Midas module for the Smart Nord dataset.

Midas Smart Nord Data Simulator

This package contains a midas module providing a simulator for the Smart Nord data set. Although this package is intended to be used with midas, it can be used in any mosaik simulation scenario.

Version: 2.1

Installation

This package will usually installed automatically together with midas-mosaik if you opt-in for the base extra. It is available on pypi, so you can install it manually with

pip install midas-sndata

Usage

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

Inside of midas

To use the powergrid inside of midas, just add sndata to your modules

my_scenario:
  modules:
    - sndata
    - ...

and configure it with:

  sndata_params:
    my_grid_scope:
      step_size: 900  # <-- Default value
      grid_name: my_grid_scope
      active_mapping: 
        1: [[Land_0, 1.0], [Land_2, 1.5]]
        3: [[House_000, 1.0]]

The mapping has to match to the grid that you're using.

Any mosaik scenario

If you don't use midas, you can add the sndata manually to your mosaik scenario file. First, the entry in the sim_config:

  sim_config = {
    "SmartNordData": {
      "python": "midas_smartnord.simulator:SmartNordDataSimulator"
    },
    # ...
  }

Next, you need to start the simulator (assuming a step_size of 900):

  sndata_sim = world.start(
      "SmartNordData",
      step_size=900,
      start_date="2020-01-01 00:00:00+0100",
      data_path="/path/to/folder/where/dataset/is/located/",
      filename="smart_nord_profiles.csv",  # this is default
  )

Then the models can be started:

  land1 = sndata_sim.CalculatedQTimeSeries(name="Land_0", scaling=1.0)
  land2 = sndata_sim.CalculatedQTimeSeries(name="Land_2", scaling=1.5)
  house1 = sndata_sim.CalculatedQTimeSeries(name="House_000", scaling=1.0)

Finally, the modells need to be connected to other entities:

  world.connect(land1, other_entity, "p_mw", "q_mvar")

License

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

The data set is a result from the research project Smart Nord.