This study addresses the issue of uneven workload distribution among assembly stations in large wind turbine production lines. Utilizing the production system simulation software Plant Simulation, a dynamic visual virtual simulation model was developed based on actual assembly processes in wind turbine workshops. The model simulates and optimizes critical assembly procedures under the constraint that the total completion time of tasks at each workstation must align with production cycle time requirements. By integrating assembly task durations and precedence relationships, a traditional Genetic Algorithm was employed to minimize the number of workstations while generating an optimized sequence for component assembly. The results were evaluated using fitness metrics, demonstrating a 67.45% overall improvement in workload balance across stations. This methodology provides an efficient solution for enhancing assembly line equilibrium and operational efficiency in industrial applications.