Publications

Description

Authors: Illia Diahovchenko and Andrew Keane

Abstract: Modern power systems are increasingly threatened by disruptions, including terrorist and military attacks targeting critical energy infrastructure. Disruptions to electric power plants and bulk substations can result in wide-area blackouts, significant economic damage, and endanger public safety. Therefore, efficient preparation and prompt operational responses to threats are essential for power systems’ stability and resiliency. This study introduces a novel approach for cluster formation within transmission power systems using graph theory metrics and electrical distance. Clusters enable selective dynamic and steady-state simulations, focusing on vulnerable areas and optimizing computational resources and time. The proposed clustering approach offers scalability and can enhance operational preparedness against potential disruptions and abrupt changes in generation after attacks on critical energy infrastructure or unexpected outages, which makes it useful for transmission system operators. It can also assist with the planned integration of renewable energy sources into bulk power systems, enabling more efficient analysis of their impacts on system stability and performance.