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  3/2012 - 15
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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: 608 | Views: 2,881

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  «-- Click to see who has cited this paper

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[2] M. El-Mousri, A. M. Sharaf and K. El-Arroudi, "Optimal control schemes for SSSC for dynamic series compensation," Elect. Power Syst. Research, vol. 78, no. 4, pp. 646-656, April. 2008.
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[28] J. W. Park, R. G. Harley and G. K. Venayagamoorthy, "Power system optimization and coordination of damping controls by series FACTS devices," in Inaugural IEEE PES Conference and Exhibition, Durban, South Africa, July 11-15, 2005, pp. 293-298.
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References Weight

Web of Science® Citations for all references: 693 TCR
SCOPUS® Citations for all references: 1,015 TCR

Web of Science® Average Citations per reference: 22 ACR
SCOPUS® Average Citations per reference: 33 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-09-17 11:55 in 157 seconds.




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