AUTOMATIC PREVENTION OF TRANSIENT STABILITY VIOLATION BASED ON THE RESULTS OF THE STABILITY MARGIN MONITORING SYSTEM CALCULATIONS

Abstract

The growing share of renewable energy sources (RES) and the decommissioning of synchronous generators significantly reduce power system inertia, making transient stability a critical challenge for modern power grids. Traditional emergency automation with fixed threshold settings is no longer effective under these conditions. This study argues for a shift from static to adaptive control methods using real-time monitoring. The proposed approach relies on a Stability Margin Monitoring System (SMMS), which calculates critical voltage angles between nodes using WAMS and SCADA data. This enables dynamic adjustment of emergency control parameters based on the actual grid state and inertia level. The approach is demonstrated on transient simulations of the Mangystau power system in Kazakhstan. The results show that reduced inertia leads to loss of synchronism, but adaptive control with targeted load shedding (e.g., 300 MW) restores stability, whereas smaller volumes are insufficient. This highlights the importance of accurately selecting control actions. The method helps avoid excessive disconnections and increases the reliability and efficiency of low-inertia systems. Despite risks such as telemetry failures, adaptive control offers a modern tool for preventing cascading outages in grids with high-RES penetration.