Equilibrium Seeking and Optimal Selection Algorithms in Peer-to-Peer Energy Markets
Wicak Ananduta (TU Delft - Team Sergio Grammatico)
Sergio Grammatico (TU Delft - Team Bart De Schutter, TU Delft - Team Sergio Grammatico)
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Abstract
We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy among each other and with the main grid to meet their energy demands. By using a game-theoretic formulation and exploiting operator-theoretic methods for generalized Nash equilibrium seeking, we propose two variants of the state-of-the-art distributed market clearing mechanism with improved convergence speeds. Furthermore, we design a third variant that allows for equilibrium selection, i.e., computing a specific market solution based on a convex preference function of the network operator, e.g., a congestion cost. We provide convergence guarantees and numerically show the advantages of our proposed algorithms in terms of convergence speed up and obtaining reduced grid congestion.
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