Grid Influenced Peer-to-Peer Energy Trading

Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Thomas Morstyn, Nahid-Al-Masood, H. Vincent Poor, Richard Bean

Research output: Contribution to journalArticlepeer-review

205 Scopus citations


This paper proposes a peer-to-peer (P2P) energy trading scheme that can help a centralized power system to reduce the total electricity demand of its customers at the peak hour. To do so, a cooperative Stackelberg game is formulated, in which the centralized power system acts as the leader that needs to decide on a price at the peak demand period to incentivize prosumers to not seek any energy from it. The prosumers, on the other hand, act as followers and respond to the leader's decision by forming suitable coalitions with neighboring prosumers in order to participate in P2P energy trading to meet their energy demand. The properties of the proposed Stackelberg game are studied. It is shown that the game has a unique and stable Stackelberg equilibrium, as a result of the stability of prosumers' coalitions. At the equilibrium, the leader chooses its strategy using a derived closed-form expression, while the prosumers choose their equilibrium coalition structure. An algorithm is proposed that enables the centralized power system and the prosumers to reach the equilibrium solution. Numerical case studies demonstrate the beneficial properties of the proposed scheme.

Original languageEnglish (US)
Article number8818368
Pages (from-to)1407-1418
Number of pages12
JournalIEEE Transactions on Smart Grid
Issue number2
StatePublished - Mar 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • Peer-to-peer
  • auction
  • coalition formation
  • energy trading
  • game theory
  • prosumer


Dive into the research topics of 'Grid Influenced Peer-to-Peer Energy Trading'. Together they form a unique fingerprint.

Cite this