This case study focuses on the implementation of P2P energy trading and planning of a grid-connected distribution system using an advanced optimization approach. The proposed network architecture consists of three microgrids and uses real-time data from Australian towns, each consisting of different combinations of distributed energy resources (DERs) including wind turbines, solar PV systems, and battery storage systems.
A game theory technique is then formulated to derive and solve the multi-objective function, with the intention of allocating the correct sizing of each DER and finding out the optimum payoff values. The analysis based on the proposed mechanism proved that P2P energy trading is the smarter way of energy trading among three microgrids equipped with DERs.
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Authors: Dr. Liaqat Ali, M. Imran Azim, Dr. Vivek Bhandari, Anand Menon, Vinod Tiwari, Dr. Jemma Green, Dr. Hamed Bizhani, S. M. Muyeen
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