DocumentCode :
3718022
Title :
Application of a nonlinear controller based on recurrent neural network for coordinated of PSS and ASMES
Author :
Ali Asghar Shojaei;Mohd Fauzi Othman;Masoud Samadi
Author_Institution :
Electronic System Engineering Department (ESE), Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
fYear :
2015
Firstpage :
153
Lastpage :
157
Abstract :
Flexible AC transmission system devices are used in power transmission networks in order to increase the maximum power transmission and stability. They as well, help to damp low frequency oscillations for both local and internal areas. On the other hand, the design of these devices with uncoordinated Power System Stabilizer (PSS) may degrade the performance of the power system. In addition, the power systems are vast, complex and nonlinear. Linear control strategies do not have a satisfactory performance for these systems, especially when some disturbances occur. In this study a nonlinear control strategy based on Recurrent Neural Network (RNN) is designed to control PSS and ASMES for a standard power system. The results demonstrate that the proposed coordinated control strategy based on RNN lead to improvement in stability of frequency and terminal voltage responses of the generator.
Keywords :
"Recurrent neural networks","Voltage control","Regulators","Digital TV"
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
ISSN :
2093-7121
Type :
conf
DOI :
10.1109/ICCAS.2015.7364897
Filename :
7364897
Link To Document :
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