simbench


Namesimbench JSON
Version 1.5.3 PyPI version JSON
download
home_pageNone
SummaryElectrical Power System Benchmark Models.
upload_time2024-04-23 13:51:57
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseCopyright (c) 2019-2021 by University of Kassel, TU Dortmund, RWTH Aachen University and Fraunhofer Institute for Energy Economics and Energy System Technology (IEE) Kassel and individual contributors (see AUTHORS file for details). All rights reserved. The database called SimBench is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ The code of this repository "simbench" is published under the following 3-clause BSD license: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
keywords benchmark grid power system network grid planning grid operation grid generation methodology comparability reproducibility electricity energy engineering simulation simbench time series future scenarios
VCS
bugtrack_url
requirements pandapower
Travis-CI No Travis.
coveralls test coverage
            
.. image:: https://simbench.de/wp-content/uploads/2019/01/logo.png
   :target: https://www.simbench.net
   :alt: SimBench logo

.. image:: https://badge.fury.io/py/simbench.svg
   :target: https://pypi.python.org/pypi/simbench
   :alt: PyPI

.. image:: https://img.shields.io/pypi/pyversions/simbench.svg
   :target: https://pypi.python.org/pypi/simbench
   :alt: versions

.. image:: https://readthedocs.org/projects/simbench/badge/?version=stable
   :target: http://simbench.readthedocs.io/?badge=stable
   :alt: Documentation Status

.. image:: https://github.com/e2nIEE/simbench/actions/workflows/github_test_action.yml/badge.svg
   :target: https://github.com/e2nIEE/simbench/actions/
   :alt: GitHub Actions

.. image:: https://codecov.io/github/e2nIEE/simbench/coverage.svg?branch=master
   :target: https://app.codecov.io/github/e2nIEE/simbench?branch=master
   :alt: codecov

.. image:: https://pepy.tech/badge/simbench
   :target: https://pepy.tech/project/simbench
   :alt: pepy

.. image:: https://img.shields.io/badge/License-ODbL-brightgreen.svg
   :target: https://opendatacommons.org/licenses/odbl
   :alt: ODbL

.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
   :target: https://github.com/e2nIEE/simbench/blob/master/LICENSE
   :alt: BSD

SimBench (www.simbench.net) is a research project to create a "simulation database for uniform comparison of innovative solutions in the field of network analysis, network planning and operation", which was conducted for three and a half years from 1.11.2015 to 30.04.2019. It was part of the German Federal Government's 6th Energy Research Program "Research for an Environmentally Friendly, Reliable and Affordable Energy Supply". The project was carried out by the University of Kassel, the Fraunhofer IEE, the RWTH Aachen University and the Technical University of Dortmund in accordance with the authors mentioned above. The project, coordinated by the University of Kassel, was supported by the professional advisory from six German distribution network operators: DREWAG NETZ GmbH, Energie Netz Mitte GmbH, ENSO NETZ GmbH, Netze BW GmbH, Syna GmbH and Westnetz GmbH.

The objective of the research project SimBench is the development of a benchmark dataset to support research in grid planning and operation. SimBench grids differ from existing grids in the following key aspects:

- Consideration of a wide range of use cases during the development of datasets
- Provision of grid data for low voltage (LV), medium voltage (MV), high voltage (HV), extra-high voltage (EHV) as well as design of data for a suitable interconnection of a grid among different voltage levels for cross-level simulations
- Ensuring high reproducibility and comparability by providing clearly assigned load and generation time series
- Validation of the suitability of the datasets with simulation, deliberately determined grid states including suitable dimensioning of grid assets

This repository provides data and code to use SimBench within the software pandapower (www.pandapower.org).

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "simbench",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "simbench Developers <simbench@uni-kassel.de>",
    "keywords": "benchmark grid, power system, network, grid planning, grid operation, grid generation methodology, comparability, reproducibility, electricity, energy, engineering, simulation, simbench, time series, future scenarios",
    "author": null,
    "author_email": "Steffen Meinecke <steffen.meinecke@uni-kassel.de>",
    "download_url": "https://files.pythonhosted.org/packages/14/a3/6abc401d86139c0fcc39d08fa13a7e78b37d75d490952b04f8ee3eff29f7/simbench-1.5.3.tar.gz",
    "platform": null,
    "description": "\n.. image:: https://simbench.de/wp-content/uploads/2019/01/logo.png\n   :target: https://www.simbench.net\n   :alt: SimBench logo\n\n.. image:: https://badge.fury.io/py/simbench.svg\n   :target: https://pypi.python.org/pypi/simbench\n   :alt: PyPI\n\n.. image:: https://img.shields.io/pypi/pyversions/simbench.svg\n   :target: https://pypi.python.org/pypi/simbench\n   :alt: versions\n\n.. image:: https://readthedocs.org/projects/simbench/badge/?version=stable\n   :target: http://simbench.readthedocs.io/?badge=stable\n   :alt: Documentation Status\n\n.. image:: https://github.com/e2nIEE/simbench/actions/workflows/github_test_action.yml/badge.svg\n   :target: https://github.com/e2nIEE/simbench/actions/\n   :alt: GitHub Actions\n\n.. image:: https://codecov.io/github/e2nIEE/simbench/coverage.svg?branch=master\n   :target: https://app.codecov.io/github/e2nIEE/simbench?branch=master\n   :alt: codecov\n\n.. image:: https://pepy.tech/badge/simbench\n   :target: https://pepy.tech/project/simbench\n   :alt: pepy\n\n.. image:: https://img.shields.io/badge/License-ODbL-brightgreen.svg\n   :target: https://opendatacommons.org/licenses/odbl\n   :alt: ODbL\n\n.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg\n   :target: https://github.com/e2nIEE/simbench/blob/master/LICENSE\n   :alt: BSD\n\nSimBench (www.simbench.net) is a research project to create a \"simulation database for uniform comparison of innovative solutions in the field of network analysis, network planning and operation\", which was conducted for three and a half years from 1.11.2015 to 30.04.2019. It was part of the German Federal Government's 6th Energy Research Program \"Research for an Environmentally Friendly, Reliable and Affordable Energy Supply\". The project was carried out by the University of Kassel, the Fraunhofer IEE, the RWTH Aachen University and the Technical University of Dortmund in accordance with the authors mentioned above. The project, coordinated by the University of Kassel, was supported by the professional advisory from six German distribution network operators: DREWAG NETZ GmbH, Energie Netz Mitte GmbH, ENSO NETZ GmbH, Netze BW GmbH, Syna GmbH and Westnetz GmbH.\n\nThe objective of the research project SimBench is the development of a benchmark dataset to support research in grid planning and operation. SimBench grids differ from existing grids in the following key aspects:\n\n- Consideration of a wide range of use cases during the development of datasets\n- Provision of grid data for low voltage (LV), medium voltage (MV), high voltage (HV), extra-high voltage (EHV) as well as design of data for a suitable interconnection of a grid among different voltage levels for cross-level simulations\n- Ensuring high reproducibility and comparability by providing clearly assigned load and generation time series\n- Validation of the suitability of the datasets with simulation, deliberately determined grid states including suitable dimensioning of grid assets\n\nThis repository provides data and code to use SimBench within the software pandapower (www.pandapower.org).\n",
    "bugtrack_url": null,
    "license": "Copyright (c) 2019-2021 by University of Kassel, TU Dortmund, RWTH Aachen University and Fraunhofer Institute for Energy Economics and Energy System Technology (IEE) Kassel and individual contributors (see AUTHORS file for details). All rights reserved.   The database called SimBench is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/   The code of this repository \"simbench\" is published under the following 3-clause BSD license:  Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.  3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ",
    "summary": "Electrical Power System Benchmark Models.",
    "version": "1.5.3",
    "project_urls": {
        "Changelog": "https://github.com/e2nIEE/simbench/blob/develop/CHANGELOG.rst",
        "Documentation": "https://simbench.readthedocs.io",
        "Download": "https://pypi.org/project/simbench/#files",
        "Homepage": "https://www.simbench.net",
        "Issues": "https://www.github.com/e2nIEE/simbench/issues",
        "Repository": "https://www.github.com/e2nIEE/simbench.git",
        "Source": "https://www.github.com/e2nIEE/simbench"
    },
    "split_keywords": [
        "benchmark grid",
        " power system",
        " network",
        " grid planning",
        " grid operation",
        " grid generation methodology",
        " comparability",
        " reproducibility",
        " electricity",
        " energy",
        " engineering",
        " simulation",
        " simbench",
        " time series",
        " future scenarios"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6f089be5247c5d02b53d2ea57e20c10cbe5241dcc280c7505b00fe42e6d82af7",
                "md5": "f9940cb496ef570120bd2c6484e3f6c6",
                "sha256": "4728e7d5894e34715436f4e73b6bb479045f37df97188f835330af6c5982b260"
            },
            "downloads": -1,
            "filename": "simbench-1.5.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f9940cb496ef570120bd2c6484e3f6c6",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 90965663,
            "upload_time": "2024-04-23T13:51:51",
            "upload_time_iso_8601": "2024-04-23T13:51:51.539771Z",
            "url": "https://files.pythonhosted.org/packages/6f/08/9be5247c5d02b53d2ea57e20c10cbe5241dcc280c7505b00fe42e6d82af7/simbench-1.5.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "14a36abc401d86139c0fcc39d08fa13a7e78b37d75d490952b04f8ee3eff29f7",
                "md5": "c8aae5dc143ffc0ec3807956048341fb",
                "sha256": "518db08a9a72180de4ce0668715f7cf796dc50a1b5a973b0b6ff0bbaf938e8a8"
            },
            "downloads": -1,
            "filename": "simbench-1.5.3.tar.gz",
            "has_sig": false,
            "md5_digest": "c8aae5dc143ffc0ec3807956048341fb",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 88282087,
            "upload_time": "2024-04-23T13:51:57",
            "upload_time_iso_8601": "2024-04-23T13:51:57.776988Z",
            "url": "https://files.pythonhosted.org/packages/14/a3/6abc401d86139c0fcc39d08fa13a7e78b37d75d490952b04f8ee3eff29f7/simbench-1.5.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-23 13:51:57",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "e2nIEE",
    "github_project": "simbench",
    "travis_ci": false,
    "coveralls": true,
    "github_actions": true,
    "requirements": [
        {
            "name": "pandapower",
            "specs": [
                [
                    ">=",
                    "2.12.1"
                ]
            ]
        }
    ],
    "lcname": "simbench"
}
        
Elapsed time: 0.22902s