Skip to main content

A MIDAS module for a electrical power timeseries simulator.

Project description

Midas PowerSeries

The midas power series module is a general purpose data simulator, currently focussed on csv files.

Although this package is intended to be used with midas, it can be used in any mosaik simulation scenario.

Installation

This package will usually be installed automatically by most of the other data simulators from midas. It is available on pypi, so you can install it manually with

pip install midas-powerseries

Usage

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

Inside of midas

There are already a few data simulators for specific data sets that can be used instead of this simulator. However, if you have a csv file with time series and want to use it in a midas scenario, you have to add powerseries to your modules

my_scenario:
  modules:
    - powerseries
    - ...

The configuration needs to provide the path to your csv file and how the data should be connected to the power grid.

  powerseries_params:
    my_grid_scope:
      step_size: 900  # <-- Default value
      data_path: "path/to/folder/containing/csv/file"
      filename: "my_time_series.csv"
      data_step_size: 900  # <-- Default value
      data_scaling: 1.0  # Default value; use it if your data is, e.g., in kW instead of MW
      meta_scaling: 1.0  # Default value; use it to scale all of the time series globally
      active_mapping:
        0: [[load_01_p_mw, 1.0], [load_02_p_mw], 1.2]  # load_01_p_mw and load_02_p_mw have to be column names in the csv file

Any mosaik scenario

tbd

License

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

midas_powerseries-2.0.0rc1.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

midas_powerseries-2.0.0rc1-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file midas_powerseries-2.0.0rc1.tar.gz.

File metadata

  • Download URL: midas_powerseries-2.0.0rc1.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for midas_powerseries-2.0.0rc1.tar.gz
Algorithm Hash digest
SHA256 46a4fd730807000261c3bf90cd1f79aaf2ad1bec403201cbf8bfc95c66610daa
MD5 6d8ad3d4b80283d144217f1fd2139666
BLAKE2b-256 ce5d5814bf7eac8e737f98eeaf9ca6e657ed53c5a589e714a5d21ab6a9158e9d

See more details on using hashes here.

File details

Details for the file midas_powerseries-2.0.0rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for midas_powerseries-2.0.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 9d2090d5f5c56656c8ec8b31fe0a8ddfab6644051aa28cd82c41901e7f82fc2c
MD5 f53a87ce8026f24931a43ddd6b01a3ab
BLAKE2b-256 66b1faff8007462fc779cfbc9a042ad6ea96eea31bba714b8ae7df01d6fc9ec9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page