Towards the Automation of Remedial Action Schemes Design

Abstract

The constantly evolving nature of the grid is compelling the design process of Remedial Action Schemes (RAS) to keep up with the changes. This paper proposes a flexible and computationally efficient approach to automatically determine RAS corrective actions that alleviate line overloading violations. Statistical and functional characteristics summarized from RAS implemented in real power systems are used to guide the design parameters. This paper also leverages sensitivity-based techniques to determine corrective actions for specific contingencies quickly without repeated numerical simulations.