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JCR Impact Factor: 0.700
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  4/2015 - 5

 HIGH-IMPACT PAPER 

Synchrophasor-Based Online Coherency Identification in Voltage Stability Assessment

ADEWOLE, A. C. See more information about ADEWOLE, A. C. on SCOPUS See more information about ADEWOLE, A. C. on IEEExplore See more information about ADEWOLE, A. C. on Web of Science, TZONEVA, R. See more information about TZONEVA, R. on SCOPUS See more information about TZONEVA, R. on SCOPUS See more information about TZONEVA, R. on Web of Science
 
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Download PDF pdficon (1,528 KB) | Citation | Downloads: 1,102 | Views: 4,008

Author keywords
clustering method, machine learning, phasor measurement unit, power system stability, voltage stability

References keywords
power(45), systems(20), system(17), voltage(13), stability(13), tpwrs(11), reactive(9), dynamic(8), analysis(7), real(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04005
Web of Science Accession Number: 000368499800005
SCOPUS ID: 84949981200

Abstract
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Full text preview
This paper presents and investigates a new measurement-based approach in the identification of coherent groups in load buses and synchronous generators for voltage stability assessment application in large interconnected power systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the cluster groups in the system. The proposed method is successfully validated by using the New England 39-bus test system. Also, the performance of the voltage stability assessment algorithm using wide area synchrophasor measurements from the key synchronous generator in each respective cluster was tested online for the prediction of the system's margin to voltage collapse using a testbed comprising of a Programmable Logic Controller (PLC) in a hardware-in-the-loop configuration with the Real-Time Digital Simulator (RTDS) and Phasor Measurement Units (PMUs).


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 9
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Cited-By CrossRef

[1] 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]

[2] Adaptive under‐voltage load shedding scheme for large interconnected smart grids based on wide area synchrophasor measurements, Adewole, Adeyemi Charles, Tzoneva, Raynitchka, Apostolov, Alexander, IET Generation, Transmission & Distribution, ISSN 1751-8695, Issue 8, Volume 10, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2015.1250
[CrossRef]

[3] Extended synchrophasor-based online voltage stability assessment using synchronous generator-derived indices, Adewole, Adeyemi Charles, Tzoneva, Raynitchka, International Transactions on Electrical Energy Systems, ISSN 2050-7038, Issue 1, Volume 27, 2017.
Digital Object Identifier: 10.1002/etep.2236
[CrossRef]

[4] Surrogate‐splits ensembles for real‐time voltage stability assessment in the presence of missing synchrophasor measurements, Adewole, Adeyemi Charles, Tzoneva, Raynitchka, IET Science, Measurement & Technology, ISSN 1751-8830, Issue 5, Volume 11, 2017.
Digital Object Identifier: 10.1049/iet-smt.2016.0431
[CrossRef]

[5] A Novel Method of Coherency Identification for Multi-Machine Power System, Rahman, Shaikh Rashedur, Ullah, Md. Shahid, 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS), ISBN 978-1-7281-4082-7, 2019.
Digital Object Identifier: 10.1109/ICETAS48360.2019.9117540
[CrossRef]

[6] A Machine Learning Approach to the Identification of Voltage Control Area Using Synchrophasor Measurements, Kibriya, Fazle, Mahto, Dinesh Kumar, Mohanta, Dusmanta Kumar, 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP), ISBN 978-1-7281-3192-4, 2019.
Digital Object Identifier: 10.1109/ISAP48318.2019.9065931
[CrossRef]

[7] Physically Meaningful Grid Analytics on Voltage Measurements using Graph Spectra, Bariya, Mohini, Moffat, Keith, Von Meier, Alexandra, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), ISBN 978-1-7281-3103-0, 2020.
Digital Object Identifier: 10.1109/ISGT45199.2020.9087671
[CrossRef]

[8] Voltage stability assessment using synchrophasor measurements: Trends and development, Pinzon, Jaime D., Colome, Delia G., 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), ISBN 978-1-5386-3312-0, 2017.
Digital Object Identifier: 10.1109/ISGT-LA.2017.8126724
[CrossRef]

[9] Determination of Voltage Control Area Based on Bus Coherency Using Synchronized Phasor Measurements, Kibriya, Fazle, Mahto, Dinesh Kumar, Khalkho, Anant Milan, Mahto, Tarkeshwar, Mohanta, Dusmanta Kumar, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), ISBN 978-1-7281-1895-6, 2019.
Digital Object Identifier: 10.1109/TENCON.2019.8929262
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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