Embedded Systems

Towards Sustainable Energy Communities: Local Optimization of Battery Usage in P2P Energy Trading

by Christoph Groß, Florian Gehring, and Oliver Bringmann
In 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pages 1–7. IEEE, 2023.


As renewable energy resources are integrated into the power grid to address the global energy and climate crisis, local energy markets have emerged as a possible solution. In such markets, peers in a smart grid trade locally generated energy. To reduce the stress on the grid caused by the volatility of renewable energy sources, households use electric batteries to maximize their self-consumption of generated energy. In this paper, we propose a peer-to-peer trading platform that integrates batteries into the distributed energy management trading system. We show that local optimization of single households not only benefits the individual households in terms of increased self-consumption and financial gains but also has an overall positive impact on the energy community compared to a simple battery implementation.