A Distributed Game Theoretic Approach for Optimal Battery Use in an Energy Community
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Author
Kirsch, Nicolas
Salizzoni, Giulio
Gorecki, Tomasz T.
Kamgarpour, Maryam
DOI
Abstract
With the recent rise of decentralized energy resources like solar panels and batteries, energy communities have grown in popularity. Without collaborative load management, some of the locally produced electricity in the energy community could be unused and sold back to the grid, hindering its economic and environmental benefits. In this paper, we introduce a game which provides optimized battery use to all the members of an energy community in a distributed fashion. The goal is to incentivize self-consumption in the energy community with minimal information sharing between members. We then integrate the game in a receding horizon control framework. This approach is tested on real photovoltaic data and reduces costs for the energy community. Its robustness to imperfect solar forecasting is also evaluated, showing that uncertainty induces minimal increases in cost.
Publication Reference
Accepted for presentation at 2024 DACH+ energy informatics conference
Year
2024-10-09