Peer-to-Peer Multi-Energy and Communication Resource Trading for Interconnected Microgrids

Da Xu, Bin Zhou, Nian Lu, Qiuwei Wu, Nikolai Voropai, Canbing Li , Evgeny Barakhtenko

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This paper proposes a peer-to-peer (P2P) transactive multi-resource trading framework for multiple multi-energy microgrids. In this framework, the interconnected microgrids not only fulfil the multi-energy demands of with local hybrid biogas-solar-wind renewables, but also proactively trade their available multi-energy and communication resources with each other for delivering secured and high quality of services. The multi-microgrid multi-energy and communication trading is an intractable optimization problem because of their inherent strong couplings of multiple resources and independent decision-makings. The original problem is thus formulated as a Nash bargaining problem and further decomposed into the subsequent social multi-resource allocation subproblem and payoff allocation subproblem. Furthermore, fully-distributed alternating direction method of multipliers (ADMM) approaches with only limited trading information shared are developed to co-optimize the communication and energy flows while taking into account the local resource-autonomy of heterogeneous microgrids. The proposed methodology is implemented and benchmarked on a three-microgrid system over a 24-hourly scheduling periods. Numerical results show the superiority of the proposed scheme in system operational economy and resource utilization, and also demonstrate the effectiveness of the proposed distributed approach
Original languageEnglish
JournalI E E E Transactions on Industrial Informatics
Number of pages10
Publication statusAccepted/In press - 2021


  • Energy hub
  • Multi-microgrids
  • Distributed optimization
  • Resource trading
  • Nash bargaining solution


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