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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2015 - 5

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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,528 KB) | Citation | Downloads: 301 | Views: 1,199

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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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  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 788 TCR
SCOPUS® Citations for all references: 2,844 TCR

Web of Science® Average Citations per reference: 18 ACR
SCOPUS® Average Citations per reference: 66 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 2017-10-13 22:41 in 230 seconds.




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