Explicit Reward Mechanisms For Local Flexibility In Renewable Energy Communities

Incentivizing flexible consumption of end-users is key to maximizing local exchanges within Renewable Energy Communities. While centralized coordination for flexible resource planning raises concerns about data privacy and fair distribution of benefits, state-of-the-art approaches (e.g., bi-level, ADMM) often face computational complexity and convexity challenges, limiting the precision of embedded flexible models. This work proposes an iterative resolution procedure to solve the decentralized flexibility planning with a central operator as a coordinator within a community. The community operator asks for upward or downward flexibility depending on the global needs, while members can individually react with an offer for flexible capacity. This approach ensures individual optimality while converging towards a global optimum, as validated on a 20-member domestic case study for which the gap in terms of collective bill is not more than 2.4% between the decentralized and centralized coordination schemes.