The increasing integration of renewable energy sources intensifies congestion in transmission networks and limits grid utilization due to strict security requirements. Grid Boosters (GBs) have been proposed as an effective curative congestion management measure, enabling higher transmission loading by temporarily supporting power flows during contingencies.

Building on existing concepts for grid booster operation, this paper focuses on the practical evaluation of Grid Booster placement in transmission networks using commonly available power system analysis tools.

An automated framework is presented to assess the impact of connecting a Grid Booster at different substations within a transmission network. The proposed approach systematically connects a GB model to all eligible buses and evaluates each configuration under N-1 contingencies. For each candidate location, transmission line utilization, post-contingency security margins, and the GB's ability to prevent thermal and operational limit violations are quantified. The framework is implemented using DIgSILENT PowerFactory for network modeling and contingency analysis, with Python used to automate the execution, data extraction, and post-processing of simulation results.

The results demonstrate that a GB's effectiveness depends on its point of connection. Appropriate placement can substantially increase admissible line loading under normal operation, improve post-contingency security margins, and reduce reliance on preventive congestion management measures. By relying on widely used industry tools and standard network models, the proposed framework enables reproducible, transferable studies and supports transmission system planners in assessing Grid Booster deployment in both benchmark and real-world transmission networks.