relevant_assets | Calculate max impact of failures in neighboring grids

by statnett Python Version: Current License: Apache-2.0

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kandi X-RAY | relevant_assets Summary

relevant_assets is a Python library. relevant_assets has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However relevant_assets build file is not available. You can download it from GitHub.

European TSOs are required by European Commission Regulation (EU) 2017/1485 of 2 August 2017 establishing a guideline on electricity transmission system operation to develop a methodology to assess the influence on their system of elements located in another TSO's control area. This script was developed as a proposal for an implementation of a methodology that should be compliant with SOGL's requirements and provides a flexible implementation. The script is a modification and refactoring of the script by Jonathan Baudier (available at released under apache license v2). Major changes:. This version is released under Apache license to match Jonathan's earlier script, see license file.

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relevant_assets has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

relevant_assets has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of relevant_assets is current.

Quality

relevant_assets has no bugs reported.

Security

relevant_assets has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

relevant_assets is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

relevant_assets releases are not available. You will need to build from source code and install.

relevant_assets has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

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Install relevant_assets

Ensure you have PSSE33 installed, as well as Python 2.7 in folder C:\Python27, and a python 3 installation. Install necessary Python 3 packages using pipenv (docs) with command pipenv install --dev.
Ensure you have PSSE33 installed, as well as Python 2.7 in folder C:\Python27, and a python 3 installation.
Install necessary Python 3 packages using pipenv (docs) with command pipenv install --dev
Get python 2 ready for PSSE is a bit tricky as there are bugs in the default installation. Do the following to fix this: Uninstall the buggy versions: in a command prompt, navigate to C:\Python27 uninstall old numpy, scipy, tables: python -m pip uninstall numpy, python -m pip uninstall scipy, python -m pip uninstall tables reinstall numpy, scipy, tables precompiled version: Go to https://www.lfd.uci.edu/~gohlke/pythonlibs/ and download the right wheel files: Numpy: numpy-1.14.2+mkl-cp27-cp27m-win32.whl Scipy: scipy-1.0.0-cp27-cp27m-win32.whl Pytables: tables-3.4.2-cp27-cp27m-win32.whl (this to get rid of a buggy version of pytables in the default python 2 install) in a command prompt, navigate to C:\Python27 install numpy, scipy and tables (in that order!!!) with a command like python -m pip install C:\Users\yourusername\Downloads\numpy\numpy-1.14.2+mkl-cp27-cp27m-win32.whl and something similar for scipy and tables. install other packages: in your command promtp, navigate to C:\Python27 install requirements_27.txt: python -m pip install -r C:\path_to_your_repo\requirements_27.txt
Try to run all the tests using pytest. The model provides two test files: the UCTE model for Europe as provided in Jonathan's original script, and a IEEE 300 bus test model (taken from http://icseg.iti.illinois.edu/ieee-300-bus-system/, saved as .sav file, and added dummy line ratings.) The tests should take about 2 minutes, and will among others test a full run using the 300 bus test model.

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Code for generator IF calculation is not sped up with numba yet and takes a disproportionately long time to run. My first try to get numba to speed up this code failed, not tried another yet.Handling of unicode names is sloppy at best, should be improved later.

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