Multiple aggregators can be incorporated to utilize a large number of distributed energy resources (DERs) in distribution systems through hybrid peer-to-peer (P2P) energy trading. However, the optimal trading mechanism with less computation cost for hybrid P2P energy trading with multi-aggregators has not been investigated. Hence, this paper proposes the development of hybrid P2P energy trading with multiple aggregators by improving the mechanisms of customer allocation towards aggregators and trading optimization. For this purpose, a customer allocation mechanism using density-based clustering is developed with forecasting analysis. In addition, a hybrid P2P energy trading mechanism for multi-aggregators with distributed optimization is proposed. The results show that the proposed method improves the trading results and computation time compared to the existing methods.
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