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

H. S.V.S. Kumar Nunna, Mukhtar Turarbek, Adilbek Kassymkhan, Anuar Syzdykov, Mehdi Bagheri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages1561-1566
Number of pages6
ISBN (Electronic)9781728154145
DOIs
Publication statusPublished - Oct 18 2020
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: Oct 19 2020Oct 21 2020

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2020-October

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
CountrySingapore
CityVirtual, Singapore
Period10/19/2010/21/20

Keywords

  • Auction
  • Distributed Energy Resources
  • P2P market
  • Transactive Energy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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