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We propose two market designs for the optimal day-ahead scheduling of energyexchanges within renewable energy communities. The first one implements acooperative demand side management scheme inside a community where membersobjectives are coupled through grid tariffs, whereas the second allows inaddition the valuation of excess generation in the community and on the retailmarket. Both designs are formulated as centralized optimization problems first,and as non cooperative games then. In the latter case, the existence andefficiency of the corresponding (Generalized) Nash Equilibria are rigorouslystudied and proven, and distributed implementations of iterative solutionalgorithms for finding these equilibria are proposed, with proofs ofconvergence. The models are tested on a use-case made by 55 members with PVgeneration, storage and flexible appliances, and compared with a benchmarksituation where members act individually (situation without community). Wecompute the global REC costs and individual bills, inefficiencies of thedecentralized models compared to the centralized optima, as well as technicalindices such as self-consumption ratio, self-sufficiency ratio, andpeak-to-average ratio.

Valuing the Electricity Produced Locally in Renewable Energy Communities through Noncooperative Resources Scheduling Games