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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/22217
Title: Dynamic State Estimation for Power System Control and Protection
Authors: Liu Y.
Singh A.K.
Zhao J.
Meliopoulos A.P.S.
Pal B.
Ariff M.A.B.M.
Van Cutsem T.
Glavic M.
Huang Z.
Kamwa I.
Mili L.
Mir, Abdul Saleem
Taha A.
Terzija V.
Yu S.
Published in: IEEE Transactions on Power Systems
Abstract: Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and protection applications of DSE, comprehensively presenting different facets of control and protection challenges arising in modern power systems. It is demonstrated how these challenges are effectively addressed with DSE-enabled solutions. As precursors to these solutions, reformulation of DSE considering both synchrophasor and sampled value measurements and comprehensive comparisons of DSE and observers have been presented. The usefulness and necessity of DSE based solutions in ensuring system stability, reliable protection and security, and resilience by revamping of control and protection methods are shown through examples, practical applications, and suggestions for further development. © 1969-2012 IEEE.
Citation: IEEE Transactions on Power Systems, 36(6): 5909-5921
URI: https://doi.org/10.1109/TPWRS.2021.3079395
http://repository.iitr.ac.in/handle/123456789/22217
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: control
converter-based resources
Dynamic state estimation
Kalman filter
parameter estimation
protection
sampled value measurements
stability
synchronous generation
synchrophasor measurements
ISSN: 8858950
Author Scopus IDs: 57192560335
55547111316
55925517600
57220779643
55835710000
57209411060
7004004510
6602364769
57202861538
7005147273
7003600460
57188820587
57203241232
7004443467
57202452147
Author Affiliations: Liu, Y., ShanghaiTech University, Shanghai, China
Singh, A.K., University of Southampton, Southampton, United Kingdom
Zhao, J., Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, United States
Meliopoulos, A.P.S., School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
Pal, B., Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
Ariff, M.A.B.M., Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Batu Pahat, Malaysia
Van Cutsem, T., Department of Electrical Engineering and Computer Science, University of Liege, Liege, Belgium
Glavic, M., Department of Electrical Engineering and Computer Science, University of Liege, Liege, Belgium
Huang, Z., Pacific Northwest National Laboratory, Richland, WA, United States
Kamwa, I., Laval University, Quebec, Canada
Mili, L., Bradley Department of Electrical and Computer Engineering, Virginia Tech, Falls Church, VA, United States
Mir, A.S., University of Southampton, Southampton, United Kingdom
Taha, A., Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States
Terzija, V., Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, United Kingdom
Yu, S., School of Engineering, Deakin University, Melbourne, VIC, Australia
Funding Details: This work was supported by the Department of Energy Advanced Grid Modeling Program.
Corresponding Author: Zhao, J.; Department of Electrical and Computer Engineering, United States; email: junbo@ece.msstate.edu
Appears in Collections:Journal Publications [EE]

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