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An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework
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DOI：10.1016/j.ifacol.2024.07.485.png)
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Abstract
En 中文
This paper presents an open source stochastic unit commitment (UC) optimization tool, which is available on GitHub. In addition, it presents an example use case in which UC optimization is done for a waste-to-energy plant with thermal storage and a battery energy storage system (BESS) in Germany, under uncertain day-ahead and balancing power (aFRR) market prices as well as heat load uncertainty. The tool consists of multiple modular extensions for the Python for Power System Analysis (PyPSA) framework, namely the implementation of market and bidding mechanisms, stochastic optimization and multistaging. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords:
unit commitment
stochastic optimization
electricity markets
uncertainty modeling
open source
waste-to-energy
CHP
OR in energy
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