A Decentralized Periodic Energy Trading Framework for Pelagic Islanded Microgrids

This article develops a novel decentralized periodic energy trading framework for a pelagic islanded microgrid. Compared with situations of the microgrid connecting directly to the main grid and of the short-periodic energy trading system, in this article, we tackle the following challenges: the limitation of energy resources, the two types of end users (i.e., strategic users and normal users), the high uncertainty of renewable energy generations (REGs), and the nonconvexity of optimization problem. To overcome these four obstacles unavoidably existing in practice, we propose the models of user satisfaction with the priority power supply for strategic users. Robust optimization approach is adopted to address the uncertainty associated with the REGs. A nonconvex optimization problem derived from the game-theoretic approach and backward induction is solved via designing a decentralized bilevel iterative algorithm, then a Stackelberg equilibrium strategy is obtained, where the aggregator maximizes its revenue and each user minimizes its energy cost. Simulation results are provided to show the effectiveness and benefits of the proposed periodic energy trading framework for pelagic islanded microgrids.