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Optibess Algorithm is a python 3.10+ library for simulating and optimizing a photovoltaic system with power storage.

Project description

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.

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Quick start

Optibess Algorithm can be installed with:

pip install Optibess_algorithm

You can run an optimization on an example system with:

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. There are example of how to use the different modules for simulation and optimization

License

Optibess Algorithm is licensed under the MIT license

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