Abstract: To address the suboptimal performance in dynamic parameter optimization of power system synchronous condensers (SFCs), this study proposes an enhanced grey wolf algorithm-based optimization method. By establishing an optimization model with the objective of maximizing reactive current gain, the algorithm incorporates improved strategies including optimal point set initialization and nonlinear convergence factors. Simulation results demonstrate that the optimized SFC achieves rapid reactive current gain enhancement above 0.4 under voltage drop and rise conditions, with both response speed and gain improvement rate surpassing conventional methods. This significantly enhances the SFC′s dynamic reactive power support capability.