Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation

Yu Liu, Abhinav Kumar Singh, Junbo Zhao, A. P.Sakis Meliopoulos, Bikash Pal, Mohd Aifaa Bin Mohd Ariff, Thierry Van Cutsem, Mevludin Glavic, Zhenyu Huang, Innocent Kamwa, Lamine Mili, Abdul Saleem Mir, Ahmad Taha, Vladimir Terzija, Shenglong Yu

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5909-5921
Number of pages13
JournalIEEE Transactions on Power Systems
Volume36
Issue number6
DOIs
Publication statusPublished - 1 Nov 2021
Externally publishedYes

Keywords

  • control
  • converter-based resources
  • Dynamic state estimation
  • Kalman filter
  • parameter estimation
  • protection
  • sampled value measurements
  • stability
  • synchronous generation
  • synchrophasor measurements

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