Neural Network and Its Application in Electric Power System Damping Controller: A Review

Ade Elbani, Rudy Gianto

Abstract: Neural network-based controller is one of the techniques of adaptive control. The adaptive controller is developed to overcome the shortcomings of the non-adaptive controllers. This control technique is very popular, and has been implemented in many important engineering applications. One important application of neural network-based controller is in the field of electrical power engineering, where the neural network-based controller concept has been employed to design the intelligent stabilizer for damping of power oscillation. This paper provides an overview on the neural network and its application in improving dynamic performance of an electrical power system.

Keywords: Neural network, adaptive control, dynamic performance, damping, power system.

Title: Neural Network and Its Application in Electric Power System Damping Controller: A Review

Author: Ade Elbani, Rudy Gianto

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Research Publish Journal

Vol. 9, Issue 4, October 2021 - December 2021

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Neural Network and Its Application in Electric Power System Damping Controller: A Review by Ade Elbani, Rudy Gianto