Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 95 days


PUBLISHER

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


TRAFFIC STATS

1,460,938 unique visits
469,586 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
 Volume 13 (2013)
 
     »   Issue 4 / 2013
 
     »   Issue 3 / 2013
 
     »   Issue 2 / 2013
 
     »   Issue 1 / 2013
 
 
  View all issues  








LATEST NEWS

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.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

2015-Feb-09
Starting on the 9th of February 2015, we require all authors to identify themselves, when a submission is made, by entering their SCOPUS Author IDs, instead of the organizations, when available. This information will let us better know the publishing history of the authors and better assign the reviewers on different topics.

2015-Feb-08
We have more than 500 author names on the ban-list for cheating, including plagiarism, false signatures on the copyright form, false E-mail addresses and even tentative to impersonate well-known researchers in order to become a reviewer of our Journal. We maintain a full history of such incidents.

Read More »


    
 

  2/2014 - 20

A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm

KULANTHAISAMY, A., VAIRAMANI, R. See more information about  VAIRAMANI, R. on SCOPUS See more information about  VAIRAMANI, R. on SCOPUS See more information about VAIRAMANI, R. on Web of Science, KARUNAMURTHI, N. K., KOODALSAMY, C. See more information about KOODALSAMY, C. on SCOPUS See more information about KOODALSAMY, C. on SCOPUS See more information about KOODALSAMY, C. 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 (912 KB) | Citation | Downloads: 576 | Views: 2,913

Author keywords
artificial bee colony algorithm, complete observability, measurement redundancy, optimal placement, phasor measurement unit

References keywords
power(29), placement(18), systems(16), optimal(16), algorithm(14), observability(11), artificial(11), system(9), measurement(9), colony(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 117 - 128
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02020
Web of Science Accession Number: 000340868100020
SCOPUS ID: 84901852623

Abstract
Quick view
Full text preview
This paper presents a Multi- objective Optimal Placement of Phasor Measurement Units (MOPP) method in large electric transmission systems. It is proposed for minimizing the number of Phasor Measurement Units (PMUs) for complete system observability and maximizing the measurement redundancy of the system, simultaneously. The measurement redundancy means that number of times a bus is able to monitor more than once by PMUs set. A higher level of measurement redundancy can maximize the total system observability and it is desirable for a reliable power system state estimation. Therefore, simultaneous optimization of the two conflicting objectives are performed using a binary coded Artificial Bee Colony (ABC) algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is considered to the main model. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems. The valuable approach of ABC algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing the performance with earlier works.


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

[1] W. Zengping, Z. Jinfang, and Z. Yagang, "Bayes-based fault discrimination in wide area backup protection", Advances in Electrical and Computer Engineering, vol.12, pp. 91-96, Feb. 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 3]


[2] S.Y. Raj, "Evolutionary programming based optimal power flow and its validation for deregulated power system analysis", International Journal of Electrical Power and Energy Systems, vol.29, pp. 65-75, Jan. 2007.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 63]


[3] P. Acharjee, "Identification of maximum loadability limit and weak buses using security constraint genetic algorithm", International Journal of Electrical Power and Energy Systems, vol.36, pp. 40-50, Mar. 2012.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 19]


[4] S. Chakrabarti, E. Kyriakides and D. G. Eliades, "Placement of synchronized measurements for power system observability", IEEE Trans. Power Delivery, vol.24, pp. 12-19, Jan. 2009.
[CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 132]


[5] Z. Yagang, W. Zengping and Z. Jinfang, "A novel fault identification using WAMS/PMU", Advances in Electrical and Computer Engineering, vol.12, pp. 21-26, May 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]


[6] N. M. Manousakis, G. N. Korres, and P. S. Georgilakis, "Taxonomy of PMU placement methodologies", IEEE Trans. Power Systems, vol.27, pp. 1070-1077, Apr. 2012.
[CrossRef] [Web of Science Times Cited 75] [SCOPUS Times Cited 115]


[7] B. Gou, "Generalized integer linear programming formulation for optimal PMU Placement", IEEE Trans. Power Systems, vol. 23, pp. 1099-1104, Jul. 2008.
[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 196]


[8] B. Xu, Y. J. Yoon, and A. Abur, Optimal Placement and Utilization of Phasor Measurements for State Estimation. Ithaca, New York, USA: Ph.D, Cornell University, pp. 22-23, 2005. [Online] Available: Temporary on-line reference link removed - see the PDF document

[9] S. Chakrabarti and E. Kyriakides, "Optimal placement of phasor measurement units for power system observability", IEEE Trans. Power Systems, vol.23, pp. 1433-1440, Jul. 2008.
[CrossRef] [Web of Science Times Cited 147] [SCOPUS Times Cited 214]


[10] F. J. Marin, F. Garcia-Lagos, G. Joya, and F. Sandoval, "Genetic algorithms for optimal placement of phasor measurement units in electric networks", Electronic Letters, vol.39, pp.1403-1405, Nov. 2003.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 82]


[11] F. Aminifar, C. Lucas, A. Khodaei, and M. Fotuhi-Firuzabad, "Optimal placement of phasor measurement units using immunity genetic algorithm", IEEE Trans. Power Delivery, vol.24, pp. 1014-1020, Jul. 2009.
[CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 135]


[12] M. Hajian, A.M. Ranjbar, T. Amraee and B. Mozafari, "Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm", International Journal of Electrical Power and Energy Systems, vol.33, pp. 28-34, Jan. 2011.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 83]


[13] A. El-zonkoly, S. El-safty and R. Maher, "Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction", Turkish Journal of Electrical Engineering & Computer Sciences, vol.21, pp. 1376-1393, Apr. 2013.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[14] R. E. Sehiemy, A. A. El-Ela, and A. Shaheen, "Multi-objective fuzzy-based procedure for enhancing reactive power management", IET Generation, Transmission & Distribution, vol.7, no. 2, pp. 1453-1460, Dec. 2013.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 13]


[15] R. E. Precup, R. C. David, E. M. Petriu, M. B. Radac, S. Preitl, and J. Fodor, "Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems, Knowledge-Based Systems", vol. 38, pp. 74-84, Jan. 2013.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 64]


[16] M. Z. Ali, K. Alkhatib, and Y. Tashtoush, "Cultural algorithms: Emerging social structures for the solution of complex optimization problems", International Journal of Artificial Intelligence, vol. 11, no. A13, pp. 20-42, Oct. 2013.

[17] S. K. Saha, S. P. Ghoshal, R. Kar, and D. Mandal, "Cat swarm optimization algorithm for optimal linear phase FIR filter design", ISA Transactions, vol. 52, no. 6, pp. 781-794, Jul. 2013.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 36]


[18] K. Konstantinos, A. Fabio, G. Antoni, R. Luis, "A PSO-DP based method to determination of the optimal number, location, and size of FACTS devices in power systems", Advances in Electrical and Computer Engineering, vol.14, no.1, pp. 109-114, Apr. 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


[19] S. Shahrokh, N. S. Ehsan, D. Milad, K. Hadi, "A combined methodology of adaptive neuro- fuzzy inference system and genetic algorithm for short-term energy forecasting", Advances in Electrical and Computer Engineering, vol.14, no.1, pp. 9-14, Apr. 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 10]


[20] B. Akay and D. Karaboga, "Artificial bee colony algorithm for large-scale problems and engineering design optimization", Journal of Intelligence Manufacturing, vol.23, pp. 1001-1014, Apr. 2012.
[CrossRef] [Web of Science Times Cited 77] [SCOPUS Times Cited 99]


[21] D. Karaboga and B. Akay, "A modified artificial bee colony (ABC) algorithm for constrained optimization problems", Applied Soft Computing, vol.11, pp. 3021-3031, Sep. 2011.
[CrossRef] [Web of Science Times Cited 158] [SCOPUS Times Cited 222]


[22] D. Karaboga, An Idea Based on Honey Bee Swarm for Numerical Optimization. Kayseri, Turkey: Technical Report, Erciyes University, pp. 3-5, 2005. [Online] Available: Temporary on-line reference link removed - see the PDF document

[23] F. S. Abu-Mouti and M. E. El-Hawary, "Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm", IEEE Trans. Power Delivery, vol. 26, pp. 2090-2101, Oct. 2011.
[CrossRef] [Web of Science Times Cited 152] [SCOPUS Times Cited 210]


[24] D. Karaboga and B. Basturk, "On the performance of artificial bee colony (ABC) algorithm", Applied Soft Computing, vol.8, pp. 687-697, Jan. 2008.
[CrossRef] [Web of Science Times Cited 993] [SCOPUS Times Cited 1407]


[25] D. Karaboga, B. Gorkemli, C. Ozturk and N. Karaboga, "A comprehensive survey: artificial bee colony (ABC) algorithm and applications", Artificial Intelligence Review, pp. 1-37, Mar. 2012.
[CrossRef] [Web of Science Times Cited 138] [SCOPUS Times Cited 197]


[26] D. Karaboga and B. Akay, "A comparative study of artificial bee colony algorithm", Applied Mathematics and Computation, vol. 214, pp. 108-132, Aug. 2009.
[CrossRef] [Web of Science Times Cited 772] [SCOPUS Times Cited 1134]


[27] K. Chandrasekaran and S. P. Simon, "Fuzzified artificial bee colony algorithm for non smooth and non convex multi objective economic dispatch problem", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 21, pp. 1995-2014, Oct. 2013.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 8]


[28] K. Chandrasekaran, S. Hemamalini, S. P. Simon and N. P. Padhy, "Thermal unit commitment using binary/ real coded artificial bee colony algorithm", Electric Power Systems Research, vol. 84, pp. 109-119, May 2012.
[CrossRef]


[29] K. Chandrasekaran and S.P. Simon, "Multi-objective unit commitment problem with reliability function using fuzzified binary real coded artificial bee colony algorithm", IET Generation, Trans. & Distribution, vol.6, pp. 1060-1073, Oct. 2012.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 10]


[30] D. Dua, S. Dambhare, R. K. Gajbhiye and S.A. Soman, "Optimal multistage scheduling of PMU placement: An ILP approach", IEEE Trans. Power Delivery, vol. 23, pp. 1812-1820, Oct. 2006.
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 143]


[31] S. M. Mazhari, H. Monsef, H. Lesani and A. Fereidunian, "A multi-objective PMU placement method considering measurement redundancy and observability value under contingencies", IEEE Trans. Power Systems, vol.28, pp. 2136-2146, Jul. 2013.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 23]


[32] F. Aminifar, A. Khodaei, M. Fotuhi-Firuzabad and M. Shahidehpour, "Contingency constrained PMU placement in power networks", IEEE Trans. Power Systems, vol.25, pp. 516-523, Feb. 2010.
[CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 142]


[33] A. Enshaee, R. A. Hooshmand and F. H. Fesharaki, "A new method for optimal placement of phasor measurement units to maintain full network observability under various contingencies", Electric Power Systems Research, vol.89, pp. 1-10, Jan. 2012.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 38]


[34] A. Mahari and H. Seyedi, "Optimal PMU placement for power system observability using BICA, considering measurement redundancy", Electric Power System Research, vol.103, pp. 78-85, Oct. 2013.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 25]


[35] N. C. Koutsoukis, N. M. Manousakis, P. S. Georgilakis and G. N. Korres, "Numerical observability method for optimal phasor measurement units placement using recursive tabu search method", IET Generation, Trans. & Distribution, vol.7, pp. 1-10, Jul. 2013.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 27]


[36] T. L. Baldwin, L. Mili, M. B. Boisen, and R. Adapa, "Power system observability with minimal phasor measurement placement", IEEE Trans. Power Syst., vol.8, pp. 707-715, May 1993.
[CrossRef]


[37] R. Kavasseri, and S. K. Srinivasan, "Joint placement of phasor and power flow measurements for observability of power systems", IEEE Trans. Power Systems, vol.26, pp. 1929-1936, Nov. 2011.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 38]


[38] A. Ahmadi, Y. Alinejad-Beromi and M. Moradi, "Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy", Expert System Applications, vol.38, pp. 7263-7269, May 2011.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 60]




References Weight

Web of Science® Citations for all references: 3,434 TCR
SCOPUS® Citations for all references: 4,964 TCR

Web of Science® Average Citations per reference: 88 ACR
SCOPUS® Average Citations per reference: 127 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 2016-12-04 02:48 in 192 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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.

Copyright ©2001-2016
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.




Website loading speed and performance optimization powered by: