Transaction optimisation for multi-microgrid system based on non-cooperative games

Energy trading strategies are essential for Multi- microgrid system (MMS) because they lower microgrid costs and lessen the erratic effects of microgrid systems on the distribution grid. This paper proposes a multi-buyer-multi-seller system allowing free choice of multiple trading objects based on non-cooperative game strategies. Each microgrid aims to minimize its own transaction costs and influence the trading behavior of multiple microgrids through price signals. This allows each microgrid to recover as much as possible of its excess or deficient energy through inter-grid trading. In the process of solving the game model, to simplify the solution process, the power and tariff in the strategy space are optimized by the buyer's microgrid and the seller's microgrid, respectively. To ensure fairness between the microgrids, separate optimization of the microgrids is conducted in each round of the game following a random order. During the optimization of the buyer's microgrid power, the purchase order of power from the seller's microgrid is also randomly determined. Finally, the effectiveness of the proposed strategy is verified by four interconnected microgrids.