Dynamic operating envelope-enabled P2P trading to maximise financial returns of prosumers

M. Imran Azim, Gayan Lankeshwara, Wayes Tushar, Rahul Sharma, Mollah R. Alam, Tapan K. Saha, Mohsen Khorasany, Reza Razzaghi

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

This paper presents a new dynamic operating envelope (DOE)-integrated peer-to-peer (P2P) trading scheme to increase the exchange of electricity from prosumers to a distribution network without jeopardising the network constraints. First, a DOE computation mechanism is designed to estimate the power export and import limits for prosumers at different time slots. Second, considering the DOE-estimated export and import limits, a network-aware P2P trading framework is developed utilising cooperative game theory. The key properties of the P2P coalition are studied, as well as the incentive-compatibility and stability are also confirmed. Finally, an algorithm is proposed that enables prosumers to form a stable and incentive-compatible network-aware P2P coalition and fairly distribute the total coalition benefit among themselves. With extensive simulations, it is demonstrated that the modelled P2P trading structure allows prosumers to export more electricity to the low-voltage (LV) network safely compared to existing techniques while keeping bus voltages and line loading within acceptable margins. Subsequently, by trading more power locally, prosumers can substantially mitigate their electricity costs.

Original languageEnglish
Pages (from-to)1978-1990
Number of pages13
JournalIEEE Transactions on Smart Grid
Volume15
Issue number2
DOIs
Publication statusPublished - Mar 2024

Keywords

  • Batteries
  • cooperative game
  • Costs
  • Distribution networks
  • dynamic operating envelope
  • financial returns
  • Games
  • Mathematical models
  • network constraints
  • Peer-to-peer computing
  • Peer-to-peer trading
  • Reactive power

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