Collaborative optimization strategy of multi-microgrid agents based on Nash negotiation

Under the background of ‘double carbon’, in order to promote the energy interaction between microgrids, realize the energy cooperation of multi-microgrids and improve the utilization rate of new energy, a multi-microgrid group agent collaborative optimization strategy based on Nash negotiation is proposed. Firstly, the energy architecture of a single microgrid is established, and the energy architecture of a single microgrid is modeled for photovoltaic, wind turbine, gas turbine, fuel cell, battery and other devices, and then a multi-microgrid architecture is constructed based on a single microgrid. Secondly, the energy complementarity is carried out according to the different source load states of the multi-microgrid, and the multi-microgrid agent collaborative optimization model based on Nash negotiation is constructed, and the alternating multiplier method is used to solve the single microgrid operation model. Taking the minimum social operation cost of multi-microgrid as the goal, the benefits of the cooperative cooperation of multi-microgrid agents are distributed by the improved Shapley value method, which proves that the collaborative optimization of multi-microgrid agents negotiated by Nash can effectively reduce the total operation cost, improve the new energy efficiency and reduce carbon emissions compared with the independent operation of single microgrid.