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首页> 外文期刊>Journal of electrical and electronics engineering >A SELF-HEALING MICROGRID SOCIAL NETWORK WITH DISTRIBUTED ENERGY TRADING MECHANISM
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A SELF-HEALING MICROGRID SOCIAL NETWORK WITH DISTRIBUTED ENERGY TRADING MECHANISM

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The energy trading inmicrogrid network (MGN) is very different from that in the traditional electricity energy market. In this paper, we propose an energy trading mechanism using game theoretic method by considering the non-stability of renewable energy sources (RES) and social network, by which individual's decision-making will be influenced. We consider multiple microgrids (MGs) which are connected with each other by information communication infrastructures and power lines. Some of the MGs, called buyers, have energy request and some, called seller, have surplus energy to sell. We design a multileader-multifollower Stackelberg game. In the game, the sellers lead the game and decide the amount of the energy they sell and how to use the RES to produce energy. The buyers follow the action of the sellers to provide the bidding price as their strategies. We consider the satisfaction to their benefits, social connection and RES usage as their payoff functions. From simulation result, we show the effectiveness of our proposed framework.

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