Employing Machine Learning for Enhancing Transient Stability of Power Synchronization Control During Fault Conditions in Weak Grids.
Amir SepehrOriol Gomis-BellmuntEdris PouresmaeilPublished in: IEEE Trans. Smart Grid (2022)
Keyphrases
- machine learning
- fault tolerant control
- data mining
- control system
- fault diagnosis
- pattern recognition
- decision trees
- artificial intelligence
- lyapunov function
- control method
- computer vision
- sufficient conditions
- operating conditions
- active learning
- text mining
- text classification
- knowledge acquisition
- steady state
- stability analysis
- power consumption
- optimal control
- fault detection
- feature selection
- electrical power
- computer science
- machine learning approaches
- control scheme
- data analysis
- control strategy
- statistical methods
- machine learning methods
- learning algorithm
- supervised learning
- knowledge representation