Critical scenarios identification in power system simulations using graph measures and machine learning
(2021)
Presentation / Conference Contribution
Reyes, A., Salgueiro, Y., Rivera, M., Camargo, J., Hernandez, A., & Wheeler, P. (2021, December). Critical scenarios identification in power system simulations using graph measures and machine learning. Presented at 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), Valparaíso, Chile
It is essential that electrical power systems are constructed with a reliable and resilient infrastructure. The evaluation of convergence scenarios of the load flow is a technique widely used to study the reliability of energy systems. This paper con... Read More about Critical scenarios identification in power system simulations using graph measures and machine learning.