Automation of Power System Security Assessment using Python and DIgSILENT PowerFactory

This paper presents an automated methodology for comprehensive power system static and dynamic security assessment integrated with DigSILENT PowerFactory using Python scripting. Industry criteria are implemented to analyze voltage, frequency, transient stability, and inverter-based resource fault-ride-through (FRT) across various scenarios and contingencies. Results on a Colombian power system model demonstrate the tool’s effectiveness in statistics analysis for static and dynamic power system security. The study revealed that voltage violations were most prevalent at 66kV and 110kV levels, while frequency and overvoltage FRT violations were dominant in dynamic assessments, particularly during maximum demand scenarios. These findings highlight critical areas for improving grid security.