@inproceedings {pub5701,
	title = {Community-Based Energy Sharing using Game Theory Approaches for Benefit Distribution},
	author = {Jose  Almeida AND Joao Soares AND Steffen Limmer AND Ehsan Aliyan AND Ricardo Faia AND Fernando Lezama AND Sergio Ramos AND Zita Vale},
	year = {2024},
	month = {November},
	abstract = {This paper is centered on the concept of community-based energy sharing, focusing on the integration of electric vehicles and battery management systems. The study employs mixed integer linear programming optimization techniques to minimize the total energy costs of the entire community by maximizing energy sharing within it. The investigation focuses on exploring
methods of distribution of benefits among community members considering BESS and EV demand. The paper explores the mid-market rate, supply-demand rate, Shapley value, and Nucleolus
analysis as methods to distribute the benefits generated by the energy community. The analysis contributes to understanding how community-based energy sharing can vary depending on the
distribution method. Moreover, the study presents two scenarios with a community of up to 20 agents: PV generation without batteries and PV with batteries, both considering forecasted EV
demand. The influence of transactions in the energy community allows for a cost-benefit of around 6\% to 13\%. When batteries are considered, the costs are reduced by up to 16\%. The benefit
distribution schemes are also investigated, and their excess is analyzed for each case.},
	publisher = {IEEE},
	booktitle = {2024 22nd International Conference on Intelligent Systems Applications to Power Systems (ISAP)},
	pages = {1-6}
}