PyPESOL: The Python P2P Energy Sharing Optimization Library
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| Title: | PyPESOL: The Python P2P Energy Sharing Optimization Library |
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| Authors: | Duvignau, Romaric, 1989, Gulisano, Vincenzo Massimiliano, 1984, Papatriantafilou, Marina, 1966 |
| Source: | SESBC TANDEM: Intelligent hantering av energidata och beslutsfattande i realtid 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy '25, Rotterdam, Netherlands E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. |
| Subject Terms: | Solar energy, Group formation, Peer-to-peer energy sharing, Battery schedul- ing, Smart grid, Energy optimization, Python library |
| Description: | We present the first public release of PyPESOL: the Python P2P Energy Sharing Optimization Library. PyPESOL is a lightweight, modular, and flexible framework designed for cost optimization in peer-to-peer energy sharing scenarios. It supports both single-user optimization and multi-user coordination, including automatic group formation. Users provide input data such as (forecasted or historical) electricity consumption, time-varying prices, solar generation profiles, and battery or PV capacities. Based on configurable system models (including different tariff schemes and loss assumptions), PyPESOL computes optimal battery usage decisions for individuals or groups. To enable scalable group formation, the library implements efficient greedy algorithms to partition users into energy communities. To the best of our knowledge, PyPESOL is the first publicly available framework that combines flexibility, efficiency, and scalability for P2P energy sharing optimization. Importantly, PyPESOL is also open-source: https://github.com/dcs-chalmers/pypesol. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/547035 https://research.chalmers.se/publication/548414 https://research.chalmers.se/publication/548414/file/548414_Fulltext.pdf |
| Database: | SwePub |
Nájsť tento článok vo Web of Science | Abstract: | We present the first public release of PyPESOL: the Python P2P Energy Sharing Optimization Library. PyPESOL is a lightweight, modular, and flexible framework designed for cost optimization in peer-to-peer energy sharing scenarios. It supports both single-user optimization and multi-user coordination, including automatic group formation. Users provide input data such as (forecasted or historical) electricity consumption, time-varying prices, solar generation profiles, and battery or PV capacities. Based on configurable system models (including different tariff schemes and loss assumptions), PyPESOL computes optimal battery usage decisions for individuals or groups. To enable scalable group formation, the library implements efficient greedy algorithms to partition users into energy communities. To the best of our knowledge, PyPESOL is the first publicly available framework that combines flexibility, efficiency, and scalability for P2P energy sharing optimization. Importantly, PyPESOL is also open-source: https://github.com/dcs-chalmers/pypesol. |
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| ISBN: | 9798400711251 |
| DOI: | 10.1145/3679240.3734691 |