| Name | tops JSON |
| Version |
0.2.0
JSON |
| download |
| home_page | |
| Summary | Tiny open power system simulator |
| upload_time | 2024-01-22 13:43:49 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2022-present Hallvar Haugdal <hallvar.haugdal@sintef.no> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
numpy
scipy
matplotlib
pandas
ipympl
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# TOPS (Tiny open power system simulator)
This is a package for performing dynamic power system simulations in Python. The aim is to provide a simple and lightweight tool which is easy to install, run and modify, to be used by researchers and in education. Performance is not the main priority. The only dependencies are numpy, scipy, pandas and matplotlib (the core functionality only uses numpy and scipy).
The package is being developed as part of ongoing research, and thus contains experimental features. Use at your own risk!
Some features:
- Newton-Rhapson power flow
- Dynamic time domain simulation (RMS/phasor approximation)
- Linearization, eigenvalue analysis/modal analysis
# Installation
The package can be installed using pip, as follows:
`pip install git+https://github.com/hallvar-h/tops`
# Citing
If you use this code for your research, please cite [this paper](https://arxiv.org/abs/2101.02937).
# Example notebooks
[](https://mybinder.org/v2/gh/hallvar-h/TOPS/HEAD?filepath=examples%2Fnotebooks)
# Contact
[Hallvar Haugdal](mailto:hallvhau@gmail.com)
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