SALSA-Based Method for Identifying Critical Component and Critical Component Outage Causality with Cascading Failure Data

摘要

Component outages in power system cascading failure play different roles such as facilitating outage propagation or being vulnerable to other component outages. The component outage propagation relationship between two components can be described by the component outage causality (COC). Recognizing the roles of component outages and quantifying the high-impact COCs are helpful for identifying critical components and critical COCs that are crucial in cascading failure propagation. This paper proposes a method based on Stochastic Approach for Link-Structure Analysis (SALSA) for identifying critical components and critical COCs with cascading failure data, in which component outage and causality are compared to the web page and directed link respectively. Verification on the IEEE 118-bus system with fault chains generated by cascading failure simulation, demonstrates the mitigation measure on identified critical COCs can effectively reduce cascading failure risk.