Grid interconnected multi-microgrids provides potential benefits to the consumers, where the microgrids (MGs) equipped with distributed generators (DGs), energy storage systems (ESSs), and diesel generators. However, intermittency of DGs, high cost of ESSs, and depleting fossil fuels are the major challenges for the economic operation of interconnected multi-microgrids. One potential way to address these challenges is to develop an energy management strategy (EMS) for the grid interconnected multi-microgrids. This paper proposes an EMS to reduce consumer energy consumption cost (ECC) using fuzzy-based peer-to-peer (P2P) energy exchange algorithm with dynamic pricing. In this context, the MGs consumers load power demand (LPD) and DGs output behaviors are modeled using random vector functional link network approach to predict future time slot values. Then, a fuzzy-based P2P energy exchange algorithm is developed to enable the surplus energy transfer to grid and/or MGs with dynamic pricing. Furthermore, an ESS charging/discharging energy control and diesel generator turn ON strategies are developed based on the MGs deficit power. Then, the MGs consumer LPD reduction strategy is implemented based on the consumer ECC margin and energy consumption index. Finally, an EMS is proposed that includes on demand-supply strategy and consumer energy consumption cost reduction strategy based on the future time slot values. The novelty of the proposed work lies within the energy management of grid interconnected multi-microgrids and the reduction of consumers ECC through surplus energy transfer to grid and/or MGs using fuzzy-based P2P energy exchange algorithm with dynamic pricing. Historical data are used to demonstrate the effectiveness of the proposed EMS for grid interconnected multimicrogrids.

中文翻译：

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基于 P2P 能量交换的并网多微电网能源管理：一种数据驱动的方法

电网互连的多微电网为消费者提供了潜在的好处，其中配备分布式发电机 (DG)、储能系统 (ESS) 和柴油发电机的微电网 (MG)。然而，DGs的间歇性、ESSs的高成本和化石燃料的消耗是互联多微电网经济运行的主要挑战。解决这些挑战的一种潜在方法是为电网互连的多微电网制定能源管理策略 (EMS)。本文提出了一种使用基于模糊的点对点 (P2P) 能量交换算法和动态定价的 EMS 来降低消费者能源消耗成本 (ECC)。在这种情况下，MG 消费者负载功率需求 (LPD) 和 DG 输出行为使用随机向量功能链接网络方法建模，以预测未来的时隙值。然后，开发了一种基于模糊的 P2P 能量交换算法，以通过动态定价将剩余能量转移到电网和/或 MG。此外，基于MGs的不足功率开发了ESS充电/放电能量控制和柴油发电机开启策略。然后，根据消费者ECC利润率和能耗指数，实施MGs消费者LPD降低策略。最后，提出了一种基于未来时隙值的 EMS，包括按需供应策略和消费者能源消耗成本降低策略。拟议工作的新颖之处在于电网互连的多微电网的能源管理以及通过使用基于模糊的 P2P 能量交换算法和动态定价将剩余能量转移到电网和/或 MG 来减少消费者 ECC。