Dynamic Optimization: Optimal Control Modeling

2021 ◽  
pp. 265-307
Author(s):  
Michael J. Panik
Keyword(s):  
Optimal Control ◽  
Dynamic Optimization ◽  
Control Modeling

scholarly journals Flexible Hierarchical System of Automatic Voltage Control

2019 ◽  
Vol 217 ◽  
pp. 01002
Author(s):  
Aleksandr Domyshev ◽  
Alexey Osak ◽  
Kirill Zamula
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Optimal Control ◽  
Dynamic Optimization ◽  
Reactive Power ◽  
Voltage Control ◽  
Control Methods ◽  
Network Algorithms ◽  
Real Power ◽  
State Of Art

The subsystem for optimal control of voltage and reactive power of EPS is developed. The proposed solution uses state of art methods for state estimation, forecasting and dynamic optimization. A new architecture of an artificial neural network is proposed – a neuro-analytical network. Algorithms are proposed that allow reliable combination of classical automatic control methods and methods using machine learning. The proposed methodology is designed for use in a real power system for automatic voltage control.

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