Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints

Md Habib Ullah, Jae Do Park

Research output: Contribution to journalArticlepeer-review

98 Scopus citations

Abstract

In recent years, the rapid growth of active consumers in the distribution networks transforms the modern power markets' structure more independent, flexible, and distributed. Specifically, in the recent trend of peer-to-peer (P2P) transactive energy systems, the traditional consumers became prosumers (producer+consumer) who can maximize their energy utilization by sharing it with neighbors without any conventional arbitrator in the transactions. Although a distributed energy pricing scheme is inevitable in such systems to make optimal decisions, it is challenging to establish under the influence of non-linear physical network constraints with limited information. Therefore, this paper presents a distributed pricing strategy for P2P transactive energy systems considering voltage and line congestion management, which can be utilized in various power network topologies. This paper also introduces a new mutual reputation index as a product differentiation between the prosumers to consider their bilateral trading willingness. In this paper, a Fast Alternating Direction Method of Multipliers (F-ADMM) algorithm is realized instead of the standard ADMM algorithm to improve the convergence rate. The effectiveness of the proposed approach is validated through software simulations. The result shows that the algorithm is scalable, converges faster, facilitates easy implementation, and ensures maximum social welfare/profit.

Original languageEnglish (US)
Article number9369412
Pages (from-to)3390-3403
Number of pages14
JournalIEEE Transactions on Smart Grid
Volume12
Issue number4
DOIs
StatePublished - Jul 2021

All Science Journal Classification (ASJC) codes

  • General Computer Science

Fingerprint

Dive into the research topics of 'Peer-to-Peer Energy Trading in Transactive Markets Considering Physical Network Constraints'. Together they form a unique fingerprint.

Cite this