TY  - JOUR
Y1  - 2014///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904396660&doi=10.4028%2fwww.scientific.net%2fAMM.575.605&partnerID=40&md5=64503f4744fd9fea9649b46d7073de7d
JF  - Applied Mechanics and Materials
A1  - Magzoub, M.A.
A1  - Saad, N.B.
A1  - Ibrahim, R.B.
VL  - 575
CY  - Tianjin
N2  - 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.
KW  - Automation; Control; Process control
KW  -  ANN (artificial neural network); Dynamic performance; Power system stabiliser; Power System Stabilizer; Single- machines; Steady state
KW  -  Neural networks
ID  - scholars5129
SN  - 16609336
PB  - Trans Tech Publications Ltd
EP  - 609
AV  - none
N1  - 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
TI  - Study and analysis of power system stabiliser performance using artificial neural network
SP  - 605
ER  -