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

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


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  1/2012 - 13

Phase Angle Control of Three Level Inverter Based D-STATCOM Using Neuro-Fuzzy Controller

COTELI, R. See more information about COTELI, R. on SCOPUS See more information about COTELI, R. on IEEExplore See more information about COTELI, R. on Web of Science, DENIZ, E. See more information about  DENIZ, E. on SCOPUS See more information about  DENIZ, E. on SCOPUS See more information about DENIZ, E. on Web of Science, DANDIL, B. See more information about  DANDIL, B. on SCOPUS See more information about  DANDIL, B. on SCOPUS See more information about DANDIL, B. on Web of Science, TUNCER, S. See more information about  TUNCER, S. on SCOPUS See more information about  TUNCER, S. on SCOPUS See more information about TUNCER, S. on Web of Science, ATA, F. See more information about ATA, F. on SCOPUS See more information about ATA, F. on SCOPUS See more information about ATA, F. on Web of Science
Click to see author's profile in 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 (1,017 KB) | Citation | Downloads: 1,785 | Views: 5,083

Author keywords
electric power quality, D-STATCOM, three-level H-bridge inverter, neuro-fuzzy controller, MATLAB

References keywords
power(18), statcom(15), control(15), electronics(10), system(6), static(6), fuzzy(6), controller(6), voltage(5), iecon(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 77 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01013
Web of Science Accession Number: 000301075000013
SCOPUS ID: 84860724702

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Distribution Static Compensator (D-STATCOM) is a shunt compensation device used to improve electric power quality in distribution systems. It is well-known that D-STATCOM is a nonlinear, semi-defined and time-varying system. Therefore, control of D-STATCOM by the conventional control techniques is very difficult task. In this paper, the control of D-STATCOM is carried out by the neuro-fuzzy controller (NFC) which has non-linear and robust structure. For this aim, an experimental setup based on three-level H-bridge inverter is constructed. Phase angle control method is used for control of D-STATCOM's output reactive power. Control algorithm for this experimental setup is prepared in MATLAB/Simulink and downloaded to DS1103 controller card. A Mamdani type NFC is designed for control of D-STATCOM's reactive current. Output of NFC is integrated to increase tracking performance of controller in steady state. The performance of D-STATCOM is experimentally evaluated by changing reference reactive current as on-line. The experimental results show that the proposed controller gives very satisfactory performance under different loading conditions.

References | Cited By  «-- Click to see who has cited this paper

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[2] D. Masand, S. Jain and G. Agnihotri, "Control Algorithms for Distribution Static Compensator", Industrial Electronics IEEE International Symposium, 2006, pp. 1830-1834.
[CrossRef] [Web of Science Times Cited 6]

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[CrossRef] [Web of Science Times Cited 160]

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[7] S. H. Hosseini, R. Rahnavard and Y. Ebrahimi, "Reactive Power Compensation in Distribution Networks with STATCOM by Fuzzy Logic Theory Application", Power Electronics and Motion Control Conference, 2006, pp.1-5.

[8] S. Mohagheghi, "Adaptive Critic Designs Based Neuro-controllers for Local and Wide Area Control of a Multimachine Power System with a Static Compensator", PhD Thesis, Georgia Institute of Technology, 2006.

[9] F. Liu, S. Mei, Q. Lu, Y. Ni, F.F Wu and A. Yokoyama, A., "The Nonlinear Internal Control of STATCOM: Theory and Application", International Journal of Electrical Power & Energy Systems, vol. 25, pp. 421 - 430, 2003.
[CrossRef] [Web of Science Times Cited 34]

[10] P. Petitclair, S. Bacha and J. P. Rognon, "Averaged Modelling and Nonlinear Control of an Advanced Static Var Compensator", Proceedings of the Power Electronics Specialists Conference, 1996, pp. 753-758.

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[CrossRef] [Web of Science Times Cited 1090]

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[CrossRef] [Web of Science Times Cited 25]

[15] C. Li, Q. Jiang, X. Xie and Z. Wang, "Rule-Based Control for STATCOM to Increase Power System Stability", Proc.Int. Conf. Power System Technology, POWERCON, 1998, pp. 372-376.

[16] C. Li, Q. Jiang, Z. Wang and,D. Retzmann, "Design of A Rule-Based Controller for STATCOM", Proc. Industrial Electronics Society, 1998, pp. 467-472.

[17] W. Chen, Y. Liu, J. Chen and J. Wu, "Control of Advanced Static VAR Generator by Using Recurrent Neural Networks", Proc. Power System Technology, POWERCON'98, 1998, pp. 839-842.

[18] M. Mohaddes, A. M. Gole and P. G. Mclaren, "A Neural Network Controlled Optimal Pulse-Width Modulated STATCOM", IEEE Trans. Power Deliv., vol. 14, no. 2, pp. 481-488, 1999.
[CrossRef] [Web of Science Times Cited 27]

[19] B. Dandil, "Fuzzy Neural Network IP Controller For Robust Position Control of Induction Motor Drive", Expert Systems with Applications, vol. 36, pp. 528-4534, 2009.
[CrossRef] [Web of Science Times Cited 20]

[20] E. Deniz, R. Coteli, B. Dandil, S. Tuncer, F. Ata and M. T. Gencoglu, "Neuro-Fuzzy Current Controller for Three-Level Cascade Inverter Based D-STATCOM", UPEC'2010: 45th International Universities' Power Engineering Conference, Cardiff, 31st August- 3rd September 2010, pp. 1-5.

[21] K. Chatterjee, D. V. Ghodke, A. Chandra and K. Al-Haddad, "Simple Controller for STATCOM-Based Var Generators", IET Power Electronics, vol: 2, pp. 192-202, 2009.
[CrossRef] [Web of Science Times Cited 16]

[22] S. Sirisukprasert, "The Modelling and Control of a Cascaded-Multilevel Converter-Based STATCOM", PhD. Thesis, Dept. ECE Virginia Tech., USA, 2004.

[23] N. Voraphonpiout, T. Bunyagul and S. Chatratana, "Analysis and Performance Investigation of a Cascaded Multilevel STATCOM for Power System Voltage Regulation", International Energy Journal, vol. 8, no. 2, 2007.

[24] P. Giroux, G. Sybille and H. Le-Huy, "Modeling and Simulation of a Distribution STATCOM using Simulink's Power System Blockset", IECON'01: The 27th Annual Conference of the IEEE Industrial Electronics Society, 2001, pp. 990-994.

[25] J. S. R. Jang, C. T. Sun and E. Mizutani, "Neuro-Fuzzy and Soft Computing", Prentice Hall, USA, 1997.

[26] M. Gökbulut, B. Dandil and C. Bal, "Development and Implementation of Fuzzy-Neural Network Controller for Brushless DC Motors", Intelligent Automation and Soft Computing, An International Journal, vol. 13, no. 4, pp. 423-435, 2007.

[27] M. Gökbulut, B. Dandil and C. Bal, "A Hybrid Neuro-Fuzzy Controller for Brushless DC Drives", Lecture Notes in Artificial Intelligence, vol: 3949, pp. 125-132, 2006.

[28] A. Cetin and M. Ermis, "VSC-Based D-STATCOM With Selective Harmonic Elimination", IEEE Transactions on Industry Applications, vol. 45 , pp. 1000 - 1015, 2009.
[CrossRef] [Web of Science Times Cited 47]

References Weight

Web of Science® Citations for all references: 1,425 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 51 ACR
SCOPUS® Average Citations per reference: 0

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 2019-06-18 05:56 in 130 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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