Transforming energy networks via peer-to-peer energy trading: The potential of game-theoretic approaches

Wayes Tushar, Chau Yuen, Hamed Mohsenian-Rad, Tapan Saha, H. Vincent Poor, Kristin L. Wood

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

Peer-to-peer (P2P) energy trading has emerged as a next-generation energy-management mechanism for the smart grid that enables each prosumer (i.e., an energy consumer who also produces electricity) of the network to participate in energy trading with other prosumers and the grid. This poses a significant challenge in terms of modeling the decisionmaking process of the participants' conflicting interests and motivating prosumers to participate in energy trading and cooperate, if necessary, in achieving different energy-management goals. Therefore, such a decisionmaking process needs to be built on solid mathematical and signal processing principles that can ensure an efficient operation of the electric power grid. This article provides an overview of the use of game-theoretic approaches for P2P energy trading as a feasible and effective means of energy management. Various game- and auction-theoretic approaches are discussed by following a systematic classification to provide information on the importance of game theory for smart energy research. This article also focuses on the key features of P2P energy trading and gives an introduction to an existing P2P testbed. Furthermore, the article gives specific game- and auction-theoretic models that have recently been used in P2P energy trading and discusses important findings arising from these approaches.

Original languageEnglish (US)
Pages (from-to)90-111
Number of pages22
JournalIEEE Signal Processing Magazine
Volume35
Issue number4
DOIs
StatePublished - Jul 2018

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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