A Virtual Synchronous Control Algorithm Based on Enhanced Adaptive Sparrow Search Algorithm

This paper proposes an Enhanced Adaptive Sparrow Search Algorithm (EASSA)-based virtual synchronous control algorithm for power systems with active grid-supporting capabilities. By introducing a cooperative initialization strategy combining good point set and chaos theory, adaptive normal distribution perturbation, adaptive Lévy flight mutation strategy, and dual-layer greedy update mechanism, the key control parameters of the virtual synchronous generator (VSG) are optimized to improve system dynamic performance and stability under varying load conditions. Simulation results demonstrate that the proposed algorithm significantly enhances the control accuracy and convergence speed of the VSG, improves frequency regulation and power support capabilities of construction power grids, and offers a novel solution for the optimization of complex power systems.