A microgrid cluster is located in a multi node distribution network system. Most current research focuses only either on the control strategy or energy scheduling problem of the microgrid cluster, but not on both problems together. Therefore, an integrated management and control strategy of joint optimization of upper scheduling and lower control is proposed. The upper scheduling system uses an optimal power flow algorithm based on second-order cone optimization to schedule the energy of the multi node system, and interacts with the real-time information of the microgrid group in the node. An improved hybrid optimal control strategy is proposed in the lower microgrid group control system. This can eliminate the uneven distribution of reactive power, improve the dynamic performance of active power, and ensure the consistency and stable convergence of voltage and frequency. When the load exceeds the maximum generating power of the microgrid group after a sudden change, the power demand of the microgrid group is taken as the linkage standard of the upper and lower layers, and the upper layer is called on to reallocate the power flow according to the new power demand, and an updated reference signal is transmitted to the lower layer through the communication network to carry out an organic linkage of regulation and control, so as to ensure the stability of the system. The simulation results show that the integrated management and control strategy can greatly improve the stability, reliability and anti-interference of the system. This work is supported by the National Natural Science Foundation of China (No. 61364027).