Energy Management of Grid Interconnected Multi-Microgrids Based on P2P Energy Exchange: A Data Driven Approach

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