Evaluation of Electricity Trading Algorithms for P2P Markets in Renewable Energy Communities

Renewable Energy Communities (RECs) are emerging as a way to increase self-sufficiency of local communities at a micro-grid scale, as well as to decrease the dependence from large electricity retailers, thus providing bill cost reduction and cleaner energy sources to the prosumers. To facilitate the development of these communities, it is necessary to enable them with management solutions and market services based on real-time measurements from smart energy meters. This way, peer-to-peer (P2P) trading algorithms can be implemented to allow distributed energy exchanges inside RECs. This paper focus on the implementation of a P2P market service for RECs, thus enabling the evaluation of different energy trading algorithms. The developed service was applied to a publicly available dataset concerning a REC with 51 members, 15 of which are prosumers, being the several implemented algorithms compared in terms of average electricity price, community’s self-sufficiency and number of energy trading matches.