Flexible Hierarchical System of Automatic Voltage Control
Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
2 “Energy-T” Ltd, Tolyatti, Russia
* Corresponding author: email@example.com
Published online: 15 October 2019
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.
© The Authors, published by EDP Sciences, 2019
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