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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2012 - 15
View TOC | « Previous Article | Next Article »

Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC

BADAR, R. See more information about BADAR, R. on SCOPUS See more information about BADAR, R. on IEEExplore See more information about BADAR, R. on Web of Science, KHAN, L. See more information about KHAN, L. on SCOPUS See more information about KHAN, L. on SCOPUS See more information about KHAN, L. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (810 KB) | Citation | Downloads: 612 | Views: 2,974

Author keywords
SSSC, SMIB power system, power system stability, adaptive neurofuzzy control, wavelet neural network

References keywords
power(15), series(12), fuzzy(11), control(9), wavelet(8), controller(8), panda(7), neural(7), damping(7), compensator(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-08-31
Volume 12, Issue 3, Year 2012, On page(s): 97 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.03015
Web of Science Accession Number: 000308290500015
SCOPUS ID: 84865851562

Abstract
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Static Synchronous Series Compensator (SSSC) is a series compensating Flexible AC Transmission System (FACTS) controller with primary objective of power flow control on a line by injecting a voltage in series with transmission line. However, it can efficiently be used for improving the system stability by using a supplementary damping control system. In this work, Adaptive Neurofuzzy Wavelet Control (ANFWC) paradigm for SSSC supplementary damping control system has been proposed and successfully applied to a Single Machine Infinite Bus (SMIB) power system. Gradient descent based back propagation algorithm, being simple with sufficient efficiency, has been used to update the controller parameters. The robustness of the proposed control strategy has been validated using nonlinear time domain simulations for different faults and various operating conditions of power system. Finally, the results have been compared with Conventional Adaptive Takagi-Sugino Controller (CATC) on the basis of different performance indices.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 9
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Cited-By CrossRef

[1] A PSO-DP Based Method to Determination of the Optimal Number, Location, and Size of FACTS Devices in Power Systems, SHOJAEIAN, S., NAEENI, E. S., DOLATSHAHI, M., KHANI, H., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.01017
[CrossRef] [Full text]

[2] A brand new nonlinear robust control design of SSSC for transient stability and damping improvement of multi-machine power systems via pseudo-generalized Hamiltonian theory, Lei, Bangjun, Fei, Shumin, Control Engineering Practice, ISSN 0967-0661, Issue , 2014.
Digital Object Identifier: 10.1016/j.conengprac.2014.04.011
[CrossRef]

[3] Adaptive NeuroFuzzy damping control for power system stability enhancement, Badar, Rabiah, Khan, Laiq, 2013 IEEE 9th International Conference on Emerging Technologies (ICET), ISBN 978-1-4799-3457-7, 2013.
Digital Object Identifier: 10.1109/ICET.2013.6743485
[CrossRef]

[4] Online adaptive Legendre wavelet embedded neurofuzzy damping control algorithm, Badar, Rabiah, Khan, Laiq, INMIC, ISBN 978-1-4799-3043-2, 2013.
Digital Object Identifier: 10.1109/INMIC.2013.6731316
[CrossRef]

[5] Bibliography of FACTS 2012–2013: IEEE working group report, Rahman, Shah Arifur, Mahendra, A C, Varma, Rajiv K., Litzenberger, Wayne H., 2014 IEEE PES General Meeting | Conference & Exposition, ISBN 978-1-4799-6415-4, 2014.
Digital Object Identifier: 10.1109/PESGM.2014.6939526
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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