Hierarchical Multi-Layered Sparse Identification for Prediction of Non-Linear Dynamics of Reconfigurable Microgrids

Keyphrases

• System Dynamics 100%
• Nonlinear Dynamics 100%
• Distributed Energy Resources 100%
• Sparse Identification 100%
• Controller 33%
• Numerical Examples 33%
• Model Dynamics 33%
• High Linearity 33%
• Accurate Model 33%
• Computational Cost 33%
• Control Strategy 33%
• Environmental Conditions 33%
• Operation Mode 33%
• Identification Method 33%
• Distribution System 33%
• Power System 33%
• Multilayered Structure 33%
• Microgrid 33%
• Resource Generation 33%
• Reconfigurable 33%
• System Status 33%
• Overall System 33%
• Transient Stability 33%
• Associated Control 33%
• Predicting the Future 33%
• System Structure 33%
• Steady-state Operation 33%
• Transient Dynamics 33%
• System Inertia 33%
• Global Energy Demand 33%
• Main Grid 33%
• Networked Microgrids 33%

Engineering

• Microgrid 100%
• Non-Linear Dynamic 100%
• Systems Dynamics 75%
• Distributed Energy Resource 75%
• Transients 50%
• Power Engineering 25%
• Computational Cost 25%
• Layered Structure 25%
• Control Strategy 25%
• Numerical Example 25%
• Measured Data 25%
• Distribution System 25%
• Connected Load 25%
• State Operation 25%
• Operation Mode 25%
• System Structure 25%
• Nonlinearity 25%
• Global Energy Demand 25%