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Synchrophasor-Based Online Coherency Identification in Voltage Stability AssessmentADEWOLE, A. C.   , TZONEVA, R. |
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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
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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[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
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
