Optimal Scheduling Method of PV-Hydrogen Energy Storage for Distribution Network Power Supply Reliability Improvement

Electricity is critical to the operation of modern society, and as global climate change and disaster events continue to increase, microgrids are playing an increasingly important role in disaster recovery. To ensure the timely recovery and reconstruction of disaster areas, this paper discuss the optimization methods and strategies of microgrids in post-disaster dispatch. It's main objective to ensure that critical load equipment is prioritized to ensure that emergency power needs can be met. To achieve this goal, a genetic algorithm-based post-disaster dispatching strategy is used in this paper. First, priority weights are added to the scheduling strategy to ensure that the power supply priority. Additionally, hydrogen and supercapacitors are introduced to microgrids to enhance fast response in energy storage. The simulation results are used to verify that the distributed energy and energy storage systems can better meet the power demand of critical loads in the disaster area and reduce the pressure on the power system during the recovery process. Finally, two typical scenarios are used to test the proposed dispatching strategy, demonstrate that the strategy can be effectively applied to the post-disaster dispatching of the power grid and that the addition of hydrogen energy can enhance the resilience of the microgrid.