Interconnected microgrids: Optimal energy scheduling based on a game-theoretic approach

摘要

A noncooperative game-theoretic approach is founded based on a double auction mechanism for interconnected microgrids (MGs). MGs are participating in the established game as the possible players trying to maximize their benefits. A number of scenarios are devised to assess the performance of the proposed mechanism. At different scenarios, each MG could be recognized as a seller or buyer depending on their specific energy requirements. The trading prices and the transferred energy quantities are determined based on a strategy-proof double auction mechanism. Also, the players' strategies are accommodated in the form of the proposed gaming approach. An algorithm founded on the best response dynamics is shown to effectively handle the established mechanism. Accordingly, a Nash equilibrium point is extracted for the MGs' interactions. The effects of uncertainty in loading demands of MGs and wind speed are evaluated in a scenario-based approach. The obtained results are discussed in depth.