Research on Multi-time Scale Hierarchical Coordinated Control Method Based on Multi-microgrid Partition Autonomous Energy Cooperation Community

In the case of a large number of clean energy access, the internal distribution network of autonomous microgrid (AMG) may be in a situation of oversupply. If the excess power is directly connected to the grid, it may increase the long-distance transmission loss and reduce the energy utilization rate. However, the amount of electricity available for allocation in the internal distribution network of a multi-microgrid system is often less than the user load demand. Based on this, this paper proposes a multi-time scale hierarchical coordinated control method for multi-microgrid partition autonomous energy cooperation community, including three levels. Firstly, the middle layer focuses on the supply and demand balance of each local microgrid subsystem and optimizes the charging and discharging of its energy storage equipment. Then, the distribution network (DNO) controller at the top layer obtains the supply and demand imbalance information of all subsystems, and optimizes the transaction power between the DNO and the AMG after comprehensive analysis. Finally, the underlying set controller makes the corresponding load interruption according to the optimization results of the upper and middle layers, and updates at a faster sampling rate.