With the large-scale integration of renewable energy stations into power grids, the voltage support capability of the grid has been weakened, making it difficult to meet the requirements for secure and stable operation. The appropriate integration of grid-forming energy storage (GFMS) can significantly enhance the voltage support capability of the grid. However, most existing allocation methods are primarily oriented toward improving overall system strength, while neglecting the impact of topological differences among renewable energy stations on the effectiveness of GFMS deployment. As a result, the allocated storage capacity tends to be overly conservative, and the economic performance remains to be improved. Therefore, it is necessary to develop an optimized GFMS allocation method that considers the topological characteristics of the power network, so as to enhance the utilization efficiency of energy storage while ensuring system voltage stability. Focusing on power grids with a high penetration of renewable energy, this paper investigates a partitioned allocation method for GFMS considering enhancement of multiple renewable energy stations short-circuit ratio (MRSCR). The differences in the MRSCR improvement effects of GFMS allocation for multiple renewable energy stations under various topological configurations are analyzed. Furthermore, a partition-based optimal allocation method for renewable energy stations is proposed, in which the total cost of GFMS integration is minimized subject to MRSCR and other operational constraints, thereby effectively improving the voltage support capability of the power grid. Finally, the effectiveness and engineering applicability of the proposed partitioned GFMS allocation method are verified through simulations conducted on a high-renewable-penetration power grid in Northwest China using the DIgSILENT platform.