A New Method for Peer Matching and Negotiation of Prosumers in Peer-to-Peer Energy Markets

This article presents a scalable mechanism for peer-to-peer (P2P) energy trading among prosumers in smart grid. In the proposed mechanism, engage non-mediated negotiation with their peers to reach an agreement on price and quantity of be exchanged. Instead concurrent bilateral between all high overheads, iterative peer matching process is employed match negotiation. The algorithm enables come agreement, given that they have no prior knowledge about preference structure partners. A greediness factor introduced model selfish behavior investigate its impact outcome. order recover costs related power losses, transaction fee applied each grid operator incurred losses due P2P trades. case studies demonstrate discourages greedy as it does not increase economic surplus. Also, has appropriate performance from computation overheads scalability perspectives.