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
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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]