Research on parameter optimization of wind and energy storage joint participation in initial black start

Abstract This study proposes an optimization method for wind-storage hybrid systems based on Virtual Synchronous Generator (VSG) control to enhance frequency and voltage stability during the initial black-start phase. A genetic algorithm is used to optimize the coordinated control parameters of the wind-storage system, and simulation results validate its effectiveness. The results show that the optimized system can rapidly respond to load changes, improving adaptability during black start and providing strong support for grid recovery. This study offers a theoretical foundation for the application of wind-storage hybrid systems in black-start operations and contributes to enhancing future grid stability.