Study and analysis of power system stabiliser performance using artificial neural network

Magzoub, M.A. and Saad, N.B. and Ibrahim, R.B. (2014) Study and analysis of power system stabiliser performance using artificial neural network. Applied Mechanics and Materials, 575. pp. 605-609. ISSN 16609336

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Abstract

This paper represents a study and analysis of designing a PSS (Power system stabilizer) to be used with SMIB (a Single Machine and Infinite Bus) system that was developed using ANN (Artificial Neural Network). Furthermore, the dynamic performance of ANN based stabilizer is established and compared with conventional types of PSS. The proposed scheme's effectiveness was tested through simulation in order to analyse the stability features of the small signal of the system regarding the operating situation of the steady state when a transmission line is lost. The focus of the primary method was on how the control performed. This was later confirmed to possess the level of a reaching time that was shorter and a spike that was lower. © (2014) Trans Tech Publications, Switzerland.

Item Type: Article
Additional Information: cited By 0; Conference of 3rd International Conference on Materials Engineering and Automatic Control, ICMEAC 2014 ; Conference Date: 17 May 2014 Through 18 May 2014; Conference Code:106361
Uncontrolled Keywords: Automation; Control; Process control, ANN (artificial neural network); Dynamic performance; Power system stabiliser; Power System Stabilizer; Single- machines; Steady state, Neural networks
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:16
Last Modified: 09 Nov 2023 16:16
URI: https://khub.utp.edu.my/scholars/id/eprint/5129

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