Peer-to-Peer Multienergy and Communication Resource Trading for Interconnected Microgrids

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