Abstract: Ignoring the output increase of distributed renewable energy sources (dRESs) may lead to undervoltage exceeding limits in the initial period, dRESs and load off-grid, thereby resulting in failure of power supply recovery for the entire distribution network. In view of this, a restoration control method for the distribution network considering the dynamic characteristics of dRESs is proposed in this paper. Firstly, the dynamic restoration control model of a distribution network integrated with dRESs is constructed. In addition, a double time-section power flow calculation method is proposed to check the constraint conditions throughout the dynamic process of system restoration. Then, a combined optimization algorithm that integrates the Aquila Optimizer and the Binary Particle Swarm Optimization algorithm, which is improved through pre-scheme initialization and Gaussian mutation, is proposed. This algorithm can effectively enhance the global search capability and convergence of the reconstruction optimization algorithm. The examples demonstrate that the proposed method is capable of calculating the optimal reconstruction scheme for the dRESs-penetrated distribution network within dozens of seconds. Off-normal voltage and failure reconnection of dRESs can be avoided, thereby boosting the restoration of the distribution system.