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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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  2/2014 - 20

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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: 1,187 | Views: 6,147

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

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References Weight

Web of Science® Citations for all references: 10,378 TCR
SCOPUS® Citations for all references: 13,374 TCR

Web of Science® Average Citations per reference: 266 ACR
SCOPUS® Average Citations per reference: 343 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 2024-05-23 17:35 in 238 seconds.




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