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

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Abstract

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