Asynchronous algorithm of an endogenous peer-to-peer electricity market

As the number of actors in the electricity market increases, peer to peer decentralized markets gain interest despite facing two challenges. First, the amount of exchanged messages increase significantly, which makes the resolution dependent on communication delays, as well as computation delays. Second, the physical limitations of the power network are not taken into account. An asynchronous implementation of an endogenous peer-to-peer market is here introduced to address these difficulties. The proposed algorithm is tested on a 31 agents testcase and a study of the influence of the various algorithm parameters on the convergence time is performed.