Comparative Analysis of Peer-to-Peer Transactive Energy Market Clearing Algorithms

Abstract

In the way to the green energy economy, the Peer-to-Peer (P2P) Transactive Energy market platform, where energy prosumers and consumers effectively trade electrical energy between one another, has significantly developed over the last years. To make the Transactive Energy (TE) market economically appealing for both the energy buyers and sellers, we need to ensure that a right auction model is used for one’s purpose. In this study, we attempt to compare existing auction-based market clearing approaches by means of greedy and dynamic programming algorithms. The case study of non-fractional trading of 4 sellers and 12 buyers is presented to illustrate the difference in benefit of an auction utilization under existing matching algorithms. The assessment is performed by the existing market performance indices.