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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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 HIGH-IMPACT PAPER 

An Improved Structure of an Adaptive Excitation Control System Operating under Short-Circuit

FILIP, I. See more information about FILIP, I. on SCOPUS See more information about FILIP, I. on IEEExplore See more information about FILIP, I. on Web of Science, PROSTEAN, O. See more information about  PROSTEAN, O. on SCOPUS See more information about  PROSTEAN, O. on SCOPUS See more information about PROSTEAN, O. on Web of Science, VASAR, C. See more information about  VASAR, C. on SCOPUS See more information about  VASAR, C. on SCOPUS See more information about VASAR, C. on Web of Science, SZEIDERT, I. See more information about SZEIDERT, I. on SCOPUS See more information about SZEIDERT, I. on SCOPUS See more information about SZEIDERT, I. on Web of Science
 
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Download PDF pdficon (1,361 KB) | Citation | Downloads: 825 | Views: 3,194

Author keywords
adaptive control, control engineering, generators, power system faults, short circuit currents

References keywords
control(21), induction(10), generator(8), variance(7), tuning(7), systems(7), short(7), power(7), minimum(7), filip(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-05-31
Volume 16, Issue 2, Year 2016, On page(s): 43 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.02006
Web of Science Accession Number: 000376996100006
SCOPUS ID: 84974782549

Abstract
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The paper presents an extended structure for a minimum variance adaptive control system of an induction generator, which aims to improve its operating behavior under electrical short-circuit conditions. The basic design idea is to limit the control to physically achievable values, and thus increasing the robustness of the control system and avoiding an instability regime. A control limiting block is proposed and used for this purpose. Moreover, a short-circuit detector enables an on-line setting of the control penalty factor, improving the quality of the controlled output. All these additional customizations of the control system, implemented to keep the plant operational under and after a short-time short-circuit fault (acting as an abnormal perturbation), must also provide good performance in the normal operating mode.


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

[1] M. J. Gomes Silva, C. Silva Araujo, S. T. Marques Bezerra, C. Rocha Souto, S. Arnaud Silva, and H. Pimentel Gomes, "Generalized Minimum Variance Control for Water Distribution System," IEEE Latin America Transactions, vol. 13, no. 3, pp. 651-658, Mar. 2015.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 13]


[2] Z. H. Dai, Y. A. Pan, and J. Yao, "Parameters Recursive Identification of Minimum Variance Control," Applied Mechanics and Materials, vol. 347-350, pp. 15-18, Aug. 2013.
[CrossRef] [SCOPUS Times Cited 1]


[3] Y. Alipouri and J. Poshtan, "A linear approach to generalized minimum variance controller design for MIMO nonlinear systems," Nonlinear Dynamics, vol. 77, no. 3, pp. 935-949, Aug. 2014.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]


[4] I. Filip, I. Szeidert, O. Prostean, and C. Vasar, "Analysis through simulation of a self-tuning control structure for dual winded induction generator," In Proc. 9th IEEE International Conf. on Computational Cybernetics, Tihany, Hungary, 2013, pp. 147-152.
[CrossRef] [SCOPUS Times Cited 9]


[5] I. Filip, O. Prostean, D. Ionescu, C. Vasar, and I. Szeidert, "Study above an adaptive control structure with aplication to a double-fed induction generator's excitation," In Proc. IEEE - International Conference on Computer as a Tool, Lisbon, Portugal, 2011, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 3]


[6] R. N. P. Nagarajan, A. Bin Jidin, M. A. bin Said, S. Ramahlingam, M. N. Othman, and M. K Bin Abd Rahim, "Direct self control (DSC) of induction machine utilizing 3-level cascade H-bridge multilevel inverter," In Proc. 2014 IEEE Conference on Energy Conversion (CENCON), Johor Bahru, Oct. 2014, pp. 304 - 309.
[CrossRef] [SCOPUS Times Cited 4]


[7] I. Szeidert, I. Filip, I. Borza, and C. Vasar, "Numerical simulation of a self-tuning control structure applied on double winded induction machine's excitation," In Proc. 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, May 2011, pp. 603 - 606.
[CrossRef] [SCOPUS Times Cited 2]


[8] Y. Uenaka, M. Sazawa, and K. Ohishi, "Self-tuning control of both current sensor offset and electrical parameter variations for PM motor," In Proc. 11th IEEE International Workshop on Advanced Motion Control, Nagaoka, Niigata, March 2010, pp. 649 - 654.
[CrossRef] [SCOPUS Times Cited 4]


[9] P. Malisani, F. Chaplais and N. Petit, "Design of penalty functions for optimal control of linear dynamical systems under state and input constraints," In.Proc. 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, FL, USA, pp. 6697 - 6704, Dec.2011,
[CrossRef] [SCOPUS Times Cited 8]


[10] A Dutta, M. Loccufier, C. M. Ionescu and R. De Keyser, "Penalty adaptive model predictive control (PAMPC) of constrained, underdamped, non-collocated mechatronic systems," In Proc. IEEE International Conference on Control Applications (CCA), Hyderabad, India, pp. 1006 - 1011, Aug. 2013,
[CrossRef] [SCOPUS Times Cited 3]


[11] V. Radulovic, S. Mujovic, and Z. Miljanic, "Characteristics of Overvoltage Protection with Cascade Application of Surge Protective Devices in Low-Voltage AC Power Circuits," Advances in Electrical and Computer Engineering, vol. 15, no. 3, pp. 153-160, 2015.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[12] O. Garcia, J.-C. Hernandez, and F. Jurado, "Guidelines for Protection against Overcurrent in Photovoltaic Generators," Advances in Electrical and Computer Engineering, vol. 12, no. 4, pp. 63-70, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 23] [SCOPUS Times Cited 27]


[13] X. Pei and Y. Kang, "Short-Circuit Fault Protection Strategy for High-Power Three-Phase Three-Wire Inverter," IEEE Transactions on Industrial Informatics, vol. 8, no. 3, pp. 545-553, Aug. 2012.
[CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 71]


[14] R. Pan, J. Liu, M. Wang, Y. Liu, and H. Hou, "Ultra-Real time Short Circuit Current Computing Based on Ultra-Short term Load Forecasting," In Proc. Asia-Pacific Power and Energy Engineering Conference (APPEEC), Chengdu, China, March 2010, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 2]


[15] Eui-Cheol Nho, In-Dong Kim, Tao-Won Chun, Heung-Geun Kim, and Cheol-Je Joe, "Rising time minimization of DC voltage after output short-circuit of a boost type rectifier," In Proc. IEEE International Symposium on Industrial Electronics, vol.2, Pusan, Jun. 2001, pp. 1038-1043.
[CrossRef]


[16] Y. Jiang-Häfner, M. Hyttinen, and B. Pääjärvi, "On the short circuit current contribution of HVDC light," In Proc. IEEE PES Transmission and Distribution Conference and Exhibition, Yokohama, Japan, Oct. 2002, pp. 1926-1932.

[17] B. de Metz-Noblat, F. Dumas, and C. Poulain, "Calculation of short-circuit currents," Cahier Technique Schneider Electric, no. 158, Sept. 2005.

[18] I. Filip and I. Szeidert, "Givens Orthogonal Transformation-based estimator versus RLS estimator-case study for an induction generator model," Advances in Intelligent Systems and Computing. Soft Computing Applications, vol. 357, no. 2, Springer, pp.1287-1299, Nov. 2015.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


[19] K. Ando, S. Masuda, and K. Terakado, "A Direct Control Parameters Tuning Method Using CARMA Models Based on Minimum Variance Evaluation," IEEJ Transactions on Electronics, Information and Systems, vol. 134, no. 8, pp. 1123-1129, 2014.
[CrossRef] [SCOPUS Times Cited 2]


[20] G. Abad, J. Lopez, M. Rodriguez, L. Marroyo, and G. Iwanski, Doubly fed induction machine: Modeling and control for wind energy generation applications, NJ: IEEE Press, 2011. pp. 209-239.

[21] J. M Aller, D. Delgado, A. Bueno, and J. C. Viola, "Model of the induction machine including saturation," In Proc. 15th European Conference on Power Electronics and Applications (EPE), Lille, France, Sept. 2013, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 13]


[22] I. Filip, I. Szeidert, and O. Prostean, "Mathematical modelling and numerical simulation of the dual winded induction generator's operating regimes," Advances in Intelligent Systems and Computing. Soft Computing Applications, vol. 357, no. 2, Springer, pp. 1161-1170, Nov. 2015.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 10]


[23] Y. Zou, M. Elbuluk, and Y. Sozer, "A complete modeling and simulation of induction generator wind power systems," In Proc. IEEE Industry Applications Society Annual Meeting (IAS), Houston, USA, Oct. 2010, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 39]


[24] I. Filip and C. Vasar, "About initial setting of a self-tuning controller," In Proc. 4th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania, May 2007, pp. 251 - 256.
[CrossRef] [SCOPUS Times Cited 8]


[25] M. Doi, K. Nagamoto, K. Idenawa, and Y. Mori, "Design of Generalized Minimum Variance Control for Improving Ship's Steering Performance on Low Speed," Transactions of the Society of Instrument and Control Engineers, vol. 47, no. 9, pp. 396-403, 2011.
[CrossRef]


[26] M.-Y. Wei and T.-H. Liu, "Design and Implementation of an Online Tuning Adaptive Controller for Synchronous Reluctance Motor Drives," IEEE Transactions on Industrial Electronics, vol. 60, no. 9, pp. 3644-3657, Sep. 2013.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 47]


[27] I. Filip and O. Prostean, "Modeling, parameters estimation and adaptive control of a synchronous generator," Journal of Control Engineering and Applied Informatics, vol. 7, no. 1, pp. 20-30, 2005.

[28] Y. Alipouri and J. Poshtan, "Non-affine minimum variance controller design by inverse modeling procedure," Nonlinear Dynamics, vol. 78, no. 4, pp. 2675-2684, Dec. 2014.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 6]


[29] K. J. Zachariah, J. W. Finch and M. Farsi, "Multivariable Self-Tuning Control of a Turbine Generator System," IEEE Transactions on Energy Conversion, vol. 24, no. 2, pp. 406-414, June 2009.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]


[30] R. Bhattarai, N. Gurung, and S. Kamalasadan, "Minimum variance adaptive speed estimation technique for vector control of Doubly Fed Induction Generator," In Proc. North American Power Symposium (NAPS), Charlotte, USA, Oct. 2015, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 12]


[31] P. Nuutinen, P. Peltoniemi and P. Silventoinen, "Short-Circuit Protection in a Converter-Fed Low-Voltage Distribution Network," IEEE Transactions on Power Electronics, vol. 28, no. 4, pp. 1587-1597, April 2013.
[CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 79]




References Weight

Web of Science® Citations for all references: 252 TCR
SCOPUS® Citations for all references: 401 TCR

Web of Science® Average Citations per reference: 8 ACR
SCOPUS® Average Citations per reference: 13 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 2024-06-16 11:44 in 181 seconds.




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