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JCR Impact Factor: 1.221
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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: 643243560
doi: 10.4316/AECE


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
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2020-Jun-11
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  2/2014 - 20

 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: 931 | Views: 5,171

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

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 11
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Cited-By CrossRef

[1] ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.03006
[CrossRef] [Full text]

[2] Application of heuristic algorithms to optimal PMU placement in electric power systems: An updated review, Nazari-Heris, M., Mohammadi-Ivatloo, B., Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Issue , 2015.
Digital Object Identifier: 10.1016/j.rser.2015.04.152
[CrossRef]

[3] A New Power System Restoration Technique based on WAMS Partitioning, Phanendra Babu, N. V., Suresh Babu, P., Siva Sarma, D. V. S. S., Engineering, Technology & Applied Science Research, ISSN 1792-8036, Issue 4, Volume 7, 2017.
Digital Object Identifier: 10.48084/etasr.1197
[CrossRef]

[4] Temperature Analysis in Power Transformer Windings Using Created Artificial Bee Algorithm and Computer Program, Zile, Mehmet, IEEE Access, ISSN 2169-3536, Issue , 2019.
Digital Object Identifier: 10.1109/ACCESS.2019.2915343
[CrossRef]

[5] A Phasor Estimation Algorithm based on Hilbert Transform for P-class PMUs, RAZO-HERNANDEZ, J. R., VALTIERRA-RODRIGUEZ, M., GRANADOS-LIEBERMAN, D., TAPIA-TINOCO, G., RODRIGUEZ-RODRIGUEZ, J. R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.03013
[CrossRef] [Full text]

[6] A Probabilistic Multi-Objective Model for Phasor Measurement Units Placement in the Presence of Line Outage, Huang, Yu, Li, Shuqin, Liu, Xinyue, Zhang, Yan, Sun, Li, Yang, Kai, Sustainability, ISSN 2071-1050, Issue 24, Volume 11, 2019.
Digital Object Identifier: 10.3390/su11247097
[CrossRef]

[7] Optimal Allocation of PMUs in the Eastern Region Indian Power Grid with Maximum Redundancy, Priyadarshini, Subhashree, Panigrahi, Chinmoy Kumar, 2021 1st International Conference on Power Electronics and Energy (ICPEE), ISBN 978-1-7281-8774-7, 2021.
Digital Object Identifier: 10.1109/ICPEE50452.2021.9358489
[CrossRef]

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