| Name | optibess-algorithm JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | |
| Summary | Optibess Algorithm is a python 3.10+ library for simulating and optimizing a photovoltaic system with power storage. |
| upload_time | 2024-01-01 13:28:06 |
| maintainer | |
| docs_url | None |
| author | El-mor Renewable Energies Dev Team |
| requires_python | >=3.10 |
| license | MIT License Copyright (c) 2023 El-mor Renewable Energies Dev Team 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 |
solar
pv
optimization
power storage
bess
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
Optibess Algorithm - optimizing PV system combined with storage
===============================================================
**Optibess Algorithm** is a python 3.10+ library for simulating and optimizing a photovoltaic system with power storage.
It uses data from *pvgis* and algorithms from the *pvlib* and *Nevergrad* python libraries, and is the backend part of
the *Optibess* site.
|tests status| |codecov status| |Documentation Status| |PyPI version shields.io|
.. |tests status| image:: https://github.com/pvstorageoptimization/Optibess_algorithm/workflows/Tests/badge.svg
:target: https://github.com/pvstorageoptimization/Optibess_algorithm/actions?query=workflow%3ATests
.. |codecov status| image:: https://codecov.io/gh/pvstorageoptimization/Optibess_algorithm/graph/badge.svg?token=L3VLK1Y1SM
:target: https://codecov.io/gh/pvstorageoptimization/Optibess_algorithm
.. |Documentation Status| image:: https://readthedocs.org/projects/optibess-algorithm/badge/?version=latest
:target: http://optibess-algorithm.readthedocs.io/?badge=latest
.. |PyPI version shields.io| image:: https://img.shields.io/pypi/v/optibess-algorithm.svg
:target: https://pypi.org/project/optibess-algorithm/
Quick start
------------
**Optibess Algorithm** can be installed with:
.. code-block:: bash
pip install Optibess_algorithm
You can run an optimization on an example system with:
.. code-block:: python
import logging
import time
from Optibess_algorithm.power_system_optimizer import NevergradOptimizer
# make info logging show
logging.getLogger().setLevel(logging.INFO)
# start optimization
start_time = time.time()
optimizer = NevergradOptimizer(budget=100)
opt_output, res = optimizer.run()
# print results
print(optimizer.get_candid(opt_output), res)
print(f"Optimization took {time.time() - start_time} seconds")
documentation
=============
Check out our `documentation <http://optibess-algorithm.readthedocs.io>`_. There are example of how to use the different modules for simulation and
optimization
License
=======
Optibess Algorithm is licensed under the `MIT license <LICENSE>`_
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