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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (912 KB) | Citation | Downloads: 905 | Views: 5,131

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
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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 4] [SCOPUS Times Cited 6]


[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 69] [SCOPUS Times Cited 101]


[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 26] [SCOPUS Times Cited 35]


[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 210] [SCOPUS Times Cited 253]


[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 10] [SCOPUS Times Cited 11]


[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 219] [SCOPUS Times Cited 270]


[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 289] [SCOPUS Times Cited 384]


[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 306] [SCOPUS Times Cited 394]


[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 94] [SCOPUS Times Cited 143]


[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 197] [SCOPUS Times Cited 243]


[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 127] [SCOPUS Times Cited 156]


[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 8] [SCOPUS Times Cited 13]


[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 24] [SCOPUS Times Cited 35]


[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 69] [SCOPUS Times Cited 76]


[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 105] [SCOPUS Times Cited 123]


[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 6] [SCOPUS Times Cited 6]


[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 15] [SCOPUS Times Cited 18]


[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 285] [SCOPUS Times Cited 329]


[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 367] [SCOPUS Times Cited 453]


[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 412] [SCOPUS Times Cited 533]


[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 2103] [SCOPUS Times Cited 2734]


[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 925] [SCOPUS Times Cited 1112]


[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 1892] [SCOPUS Times Cited 2408]


[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 12] [SCOPUS Times Cited 14]


[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 27] [SCOPUS Times Cited 33]


[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 258] [SCOPUS Times Cited 319]


[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 79] [SCOPUS Times Cited 91]


[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 265] [SCOPUS Times Cited 315]


[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 91] [SCOPUS Times Cited 105]


[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 59] [SCOPUS Times Cited 68]


[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 95] [SCOPUS Times Cited 124]


[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 64] [SCOPUS Times Cited 75]


[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 123] [SCOPUS Times Cited 160]




References Weight

Web of Science® Citations for all references: 8,835 TCR
SCOPUS® Citations for all references: 11,140 TCR

Web of Science® Average Citations per reference: 227 ACR
SCOPUS® Average Citations per reference: 286 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 2021-11-21 07:01 in 259 seconds.




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