Optimal operation strategy for community-based prosumers through cooperative P2P trading

Wonpoong Lee, Daesoo Kim, Yunsun Jin, Minsu Park, Dongjun Won

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

With the addition of distributed energy resources such as renewable energy sources and energy storage systems to existing power systems, prosumers capable of producing energy are in-creasing in recent years. Prosumers have the ability to do their own energy management and deal with other prosumers, which has caused peer-to-peer (P2P) power trading to gain attention. In this paper, a cooperative strategy that maximizes community and participant benefit in the community which is composed of multiple prosumers is presented. Through coordination between the low-level participants and the community-level aggregator, participants can get an amount for the forward contract in a P2P trading. The problem defined in the distributed form is solved through the alternating direction method of multipliers (ADMM), and the proposed strategy is verified through MATLAB. Simulation shows the result that the participant indirectly confirms the status of other participants and derives the amount of P2P trading power.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
StatePublished - Jun 2019
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
Country/TerritoryItaly
CityMilan
Period23/06/1927/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Cooperative Operation
  • Distributed Optimization
  • Energy bidding Management
  • P2P Trading
  • Prosumer

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