cgmes2pgm-suite 0.1.0

Additional tools for cgmes2pgm_converter to integrate PowerGridModel with the Common Grid Model Exchange Standard (CGMES)

CGMES2PGM-Suite

cgmes2pgm_suite provides additional tools for cgmes2pgm_converter to integrate PowerGridModel with the Common Grid Model Exchange Standard (CGMES). It focuses on performing the state estimation on CGMES datasets.

Features

• Human readable exports of PGM Datasets in TXT and Excel
• Debug state estimation by manipulating datasets (e.g., subnet splitting)
• Configure conversion and state estimation via a configuration file
• Simulate measurements:
  • when real measurements are not provided via an Operation Profile, but a State Variable (SV) Profile is available
  • generates an Operation Profile with distorted measurements based on the SV Profile

Installation

Install from PyPI

The package can be installed via pip:

pip install cgmes2pgm_suite

Usage

Example contains examples on how to use the package.

Running as Standalone

This package can be run as a standalone application, performing the conversion and running PGM's state estimation. To do so, you need to install the package and then run the following command:

python -m cgmes2pgm_suite --config <path_to_config_file>

The provided configuration file contains the dataset configuration and the parameters for the conversion and state estimation. An example configuration file can be found in /example.

Datasets

The conversion, measurement simulation and state estimation has been tested with the CGMES conformity datasets. These datasets can be obtained from ENTSO-E CIM Conformity and Interoperability respecting their License.

The following datasets have been tested:

Dataset	Size (Nodes)	Estimation Result	Comment
PowerFlow	2	🟢
PST	2	🟢	All three Scenarios
MiniGrid	13	🟢
MicroGrid	13	🟢	PST with AsymmetricalPhaseTapChanger (BE-TR2_2) has been split
SmallGrid	167	🟢
Svedala	191	🟢
RealGrid	6051	🟡	Requires smaller sigmas in measurement simulation to converge
FullGrid	26	?	SV-Profile does not contain power flows for all branches, resulting in an insufficient amount of simulated measurements

The configuration used for the SmallGrid dataset is located at ./example/SmallGrid.yaml and can be executed with the following command:

python -m cgmes2pgm_suite --config ./example/SmallGrid.yaml

See state_estimation.ipynb on how to create the required SPARQL endpoint.

Dataset Version: CGMES Conformity Assessment Scheme Test Configurations v3.0.2

License

This project is licensed under the Apache License 2.0.

Dependencies

This project includes third-party dependencies, which are licensed under their own respective licenses.

• cgmes2pgm_converter (Apache License 2.0)
• bidict (Mozilla Public License 2.0)
• numpy (BSD License)
• pandas (BSD License)
• power-grid-model (Mozilla Public License 2.0)
• power-grid-model-io (Mozilla Public License 2.0)
• SPARQLWrapper (W3C License)
• XlsxWriter (BSD License)
• PyYAML (MIT License)
• StrEnum (MIT License)

Commercial Support and Services

For organizations requiring commercial support, professional maintenance, integration services, or custom extensions for this project, these services are available from SOPTIM AG.

Please feel free to contact us via [e-mail].

Contributing

We welcome contributions to improve this project. Please see our Contributing Guide for details on how to submit pull requests, report issues, and suggest improvements.

Code of Conduct

This project adheres to a code of conduct adapted from the Apache Foundation's Code of Conduct. We expect all contributors and users to follow these guidelines to ensure a welcoming and inclusive community.