An Optimal Fault Restoration Strategy of Distribution Networks Considering the Dynamic Feature of Distributed Renewable Energy Resources

Ignoring the dynamic output recovery of distributed renewable energy sources (dRESs) during distribution network restoration may lead to low voltage in the initial stage, which can cause dRESs and loads to trip and even prevent the recovery of the entire distribution system. To address this issue, this paper proposes a dynamic restoration control framework for distribution networks with dRES integration. In this framework, a topology reconfiguration method is established to capture the time-varying characteristics of dRESs during the restoration process, and a double-time-section power flow calculation strategy is incorporated to verify operational constraints throughout the restoration period. The resulting optimization problem is solved by an improved hybrid Aquila Optimizer–Binary Particle Swarm Optimization algorithm, in which pre-scheme initialization and enhanced Gaussian mutation are introduced to improve convergence and solution quality. Case studies demonstrate that the proposed framework can obtain optimal schemes of topology reconfiguration for dRES-penetrated distribution networks within dozens of seconds while avoiding off-normal voltage and unsuccessful dRES reconnection, thereby enhancing the restoration capability of the distribution system.