학술논문
Stability of Power Grids: State-of-the-art and Future Trends.
Document Type
Article
Source
Subject
*ELECTRIC power distribution grids
*ELECTRIC transients
*MACHINE learning
*LYAPUNOV functions
*GAUSSIAN processes
*
*
*
*
Language
ISSN
2101-6275
Abstract
The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. We discuss steady state stability in power systems, and using Prony's modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power system. [ABSTRACT FROM AUTHOR]