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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.