2 papers
eess.SY2024
Data-driven Under Frequency Load Shedding Using Reinforcement Learning
Glory Justin, Santiago Paternain
Underfrequency load shedding (UFLS) is a critical control strategy in power systems aimed at maintaining system stability and preventing blackouts during severe frequency drops. Tr…
eess.SY2024
Real-Time Small-Signal Security Assessment Using Graph Neural Networks
Glory Justin, Santiago Paternain
Security assessment is one of the most crucial functions of a power system operator. However, growing complexity and unpredictability make this an increasingly complex and computat…