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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: 644266260
doi: 10.4316/AECE


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2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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2015-Feb-09
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  1/2014 - 17

A PSO-DP Based Method to Determination of the Optimal Number, Location, and Size of FACTS Devices in Power Systems

SHOJAEIAN, S. See more information about SHOJAEIAN, S. on SCOPUS See more information about SHOJAEIAN, S. on IEEExplore See more information about SHOJAEIAN, S. on Web of Science, NAEENI, E. S. See more information about  NAEENI, E. S. on SCOPUS See more information about  NAEENI, E. S. on SCOPUS See more information about NAEENI, E. S. on Web of Science, DOLATSHAHI, M. See more information about  DOLATSHAHI, M. on SCOPUS See more information about  DOLATSHAHI, M. on SCOPUS See more information about DOLATSHAHI, M. on Web of Science, KHANI, H. See more information about KHANI, H. on SCOPUS See more information about KHANI, H. on SCOPUS See more information about KHANI, H. 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 (836 KB) | Citation | Downloads: 502 | Views: 1,762

Author keywords
TCSC, SVC, PSO, loss minimization, voltage regulation

References keywords
power(9), systems(8), swarm(4), optimization(4), optimal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 109 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01017
Web of Science Accession Number: 000332062300017
SCOPUS ID: 84894631897

Abstract
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Full text preview
The presence of reactive component of current in transmission lines causes adverse impact on the network, including power losses, reduction of line capacity, and voltage drop. These adverse impacts can be reduced by using the first or second generation of FACTS devices. In this paper, these adverse impacts can be reduced optimally by using one of the modern optimization techniques, i.e., particle swarm optimization algorithm (PSO algorithm). By using this algorithm, the optimal size of the static VAr compensator (FACTS devices) in a 30 bus IEEE test system is determined. At first, the load flow equations of the 30 bus IEEE test system is defined in the MATLAB software by means of dynamic programming method, and the number of SVCs will be determined by using the system sensitivity function (power losses and the sum of buses voltage drop square); then, the optimal sizes of the FACTS devices is obtained by means of PSO algorithm.


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

[1] R. Badar, L. Khan, "Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC," Advances in Electrical and Computer Engineering, vol. 12, no. 3, pp. 97-104, 2012,
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[2] Y. Ou, and C. Singh, "Assessment of available transfer capability and margins," IEEE Transactions on Power Systems, Vol. 17, No. 2, pp.463-468, 2002.
[CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 208]


[3] K. S. Verma, S.N. Singh, and H.O. Gupta, "Location of Unified Power Flow Controller for Congestion Management," Electric Power System Research , Vol. 58, pp 89-96,2001.
[CrossRef] [Web of Science Times Cited 75] [SCOPUS Times Cited 113]


[4] S. Gerbex, R. Chekaoui, A.J. Germond, "Optimal Location of Multi-type FACTS Devices in a Power System by Means of Genetic Algorithm," IEEE Trans. on Power Systems, Vol. 16, pp. 537-544, 2001.
[CrossRef] [Web of Science Times Cited 269] [SCOPUS Times Cited 468]


[5] S. M. H. Nabavi, A. Kazemi, M. A. S. Masoum, "Social Welfare Improvement by TCSC using Real Code Based Genetic Algorithm in Double-Sided Auction Market," Advances in Electrical and Computer Engineering, vol. 11, no. 2, pp. 99-106, 2011,
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 10]


[6] W. Ongskul, P. Jirapong, "Optimal allocation of FACTS devices to enhance total transfer Capability using evolutionary programming," IEEE International Circuits and Systems, Vol. 5, pp. 4175-4178, 2005.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 74]


[7] M. Moghavvemi, M. O. Faruque, "Effects of Facts device on Static voltage stability," TENCON 2000. Proceedings, Vol. 2, pp. 357-362, 2000.

[8] R. Minguez, F. Milano, R. Zarate and A. J. Conejo, "Optimal Network Placement of SVC Devices," IEEE Transactions On Power Systems, Vol. 22, No. 4, pp. 1851-1860, 2007.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 70]


[9] J. Kennedy, and R. Eberhart, "Particle swarm optimization," IEEE International Conference on Neural Networks, Vol. 4, pp. 1942-1948, 1995.
[CrossRef] [Web of Science Times Cited 16694] [SCOPUS Record]


[10] S. Das, A. Abraham, A. Konar, "Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives," Advances of Computational Intelligence in Industrial Systems Studies in Computational Intelligence, Vol. 116, pp 1-38, 2008.
[CrossRef] [SCOPUS Times Cited 143]


[11] S. Naka, T. Genji, K. Miyazato , and Y. Fukuyama, "Hybrid particle swarm optimization based distribution state estimation using constriction factor approach," Proc. of International Conference of SCIS & ISIS, Tsukuba, pp. 1-6, 2002.

[12] D. Sedighizadeh, E. Masehian, "Particle Swarm Optimization Methods, Taxonomy and Applications," International Journal of Computer Theory and Engineering, Vol. 1, No. 5, pp. 486-502, 2009.
[CrossRef]


[13] I. A. Erinmez, "Static Var Compensators," Working Group 38-01, Task Force No.2 on SVC Conseil International des Grands Reseaux Electriques (CIGRE), 1986.

[14] H. Amhriz-Perez, E. Acha, and C. R. Fuerte-Esquivel, "Advanced SVC Models for Newton-Raphson Load Flow and Newton Optimal Power Flow Studies," IEEE Transactions on Power Systems, Vol. 15. No. 1, pp. 129-136, 2000.
[CrossRef] [Web of Science Times Cited 79] [SCOPUS Times Cited 140]


[15] E. V. Larsen, C. Bowler, B. Damsky, S. Nilson, "Benefits of Thyristor Controlled Series Compensation," International conference on Large High Voltage Electric Systems (CIGRE), Paper 14/37/38-04, September 1992.

[16] Power Systems Test case. [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 17,283 TCR
SCOPUS® Citations for all references: 1,235 TCR

Web of Science® Average Citations per reference: 1,017 ACR
SCOPUS® Average Citations per reference: 73 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 2016-12-03 20:43 in 73 seconds.




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


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