|1/2014 - 17|
A PSO-DP Based Method to Determination of the Optimal Number, Location, and Size of FACTS Devices in Power SystemsSHOJAEIAN, S. , NAEENI, E. S. , DOLATSHAHI, M. , KHANI, H.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (836 KB) | Citation | Downloads: 842 | Views: 2,162|
TCSC, SVC, PSO, loss minimization, voltage regulation
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
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|
| 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]
 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 127] [SCOPUS Times Cited 246]
 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 83] [SCOPUS Times Cited 124]
 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 368] [SCOPUS Times Cited 554]
 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 7] [SCOPUS Times Cited 11]
 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 25] [SCOPUS Times Cited 101]
 M. Moghavvemi, M. O. Faruque, "Effects of Facts device on Static voltage stability," TENCON 2000. Proceedings, Vol. 2, pp. 357-362, 2000.
 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 63] [SCOPUS Times Cited 95]
 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 22504]
 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 254]
 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.
 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.
 I. A. Erinmez, "Static Var Compensators," Working Group 38-01, Task Force No.2 on SVC Conseil International des Grands Reseaux Electriques (CIGRE), 1986.
 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 112] [SCOPUS Times Cited 181]
 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.
 Power Systems Test case. [Online] Available: Temporary on-line reference link removed - see the PDF document
Web of Science® Citations for all references: 23,296 TCR
SCOPUS® Citations for all references: 1,575 TCR
Web of Science® Average Citations per reference: 1,370 ACR
SCOPUS® Average Citations per reference: 93 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 2019-04-22 03:50 in 77 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.