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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 52 No. 4, 2011.

Original scientific paper

Design of Adaptive Neural Network Controller for Thermal Power System Frequency Control

Ognjen Kuljača ; Brodarski Institute, Avenija Većeslava Holjevca 20, HR-10000 Zagreb, Croatia
Krunoslav Horvat ; Brodarski Institute, Avenija Većeslava Holjevca 20, HR-10000 Zagreb, Croatia
Bruno Borović ; University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia

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Abstract

This paper deals with analytical and simulation approach for choice of activation functions and instead of a number of nodes for a class of neural network controllers for frequency control of thermal power systems. Neural network update laws are derived via Lyapunov like stability analysis. When number of nodes is fixed, then simulation analysis is conducted to find the best performer activation function. Best performance is chosen using integral error criteria and proper statistical tests.

Keywords

Choice of activation functions; Number of nodes; Neural network control

Hrčak ID:

78299

URI

https://hrcak.srce.hr/78299

Publication date:

6.3.2012.

Article data in other languages: croatian

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