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Synchrophasor-Based Online Coherency Identification in Voltage Stability AssessmentADEWOLE, A. C. , TZONEVA, R.
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clustering method, machine learning, phasor measurement unit, power system stability, voltage stability
power(45), systems(20), system(17), voltage(13), stability(13), tpwrs(11), reactive(9), dynamic(8), analysis(7), real(6)
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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
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).
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 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]
 Adaptive under-voltage load shedding scheme for large interconnected smart grids based on wide area synchrophasor measurements, Tzoneva, Raynitchka, Adewole, Adeyemi Charles, Apostolov, Alexander, IET Generation, Transmission & Distribution, ISSN 1751-8687, Issue 8, Volume 10, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2015.1250 [CrossRef]
 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]
 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 1751-8822, Issue 5, Volume 11, 2017.
Digital Object Identifier: 10.1049/iet-smt.2016.0431 [CrossRef]
 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]
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Stefan cel Mare University of Suceava, Romania
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