Article (Scientific journals)
Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation
Liu, Yu; Singh, Abhinav Kumar; Zhao, Junbo et al.
2021In IEEE Transactions on Power Systems, 36 (6), p. 5909 - 5921
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Keywords :
control; converter-based resources; Dynamic state estimation; Kalman filter; parameter estimation; protection; sampled value measurements; stability; synchronous generation; synchrophasor measurements; Comprehensive comparisons; Control and protection; Power system controls; Protection and security; Real time; Sampled values; System state; Energy Engineering and Power Technology; Electrical and Electronic Engineering
Abstract :
[en] 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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Liu, Yu ;  ShanghaiTech University, Shanghai, China
Singh, Abhinav Kumar ;  University of Southampton, Southampton, United Kingdom
Zhao, Junbo ;  Department of Electrical and Computer Engineering, Mississippi State University, Starkville, United States
Meliopoulos, A. P. Sakis ;  School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, United States
Pal, Bikash ;  Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
Ariff, Mohd Aifaa Bin Mohd ;  Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), Batu Pahat, Malaysia
Van Cutsem, Thierry  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Systèmes et modélisation
Glavic, Mevludin ;  Department of Electrical Engineering and Computer Science, University of Liege, Liege, Belgium
Huang, Zhenyu ;  Pacific Northwest National Laboratory, Richland, United States
Kamwa, Innocent ;  Laval University, Quebec, Canada
Mili, Lamine ;  Bradley Department of Electrical and Computer Engineering, Virginia Tech, Falls Church, United States
Mir, Abdul Saleem ;  University of Southampton, Southampton, United Kingdom
Taha, Ahmad ;  Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, United States
Terzija, Vladimir;  Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, United Kingdom
Yu, Shenglong ;  School of Engineering, Deakin University, Melbourne, Australia
More authors (5 more) Less
Language :
English
Title :
Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation
Publication date :
November 2021
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
36
Issue :
6
Pages :
5909 - 5921
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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