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A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC AlgorithmKULANTHAISAMY, A., VAIRAMANI, R. , KARUNAMURTHI, N. K., KOODALSAMY, C.
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artificial bee colony algorithm, complete observability, measurement redundancy, optimal placement, phasor measurement unit
power(29), placement(18), systems(16), optimal(16), algorithm(14), observability(11), artificial(11), system(9), measurement(9), colony(9)
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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
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.
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 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]
 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]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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