Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

Marcos Netto, Junbo Zhao, Zhenyu Huang, Samson Yu, Antonio Gómez-Expósito, Shaobu Wang, Innocent Kamwa, Shahrokh Akhlaghi, Lamine Mili, Vladimir Terzija, A. P. Meliopoulos, Bikash Pal, Abhinav Singh, Ali Abur, Tianshu Bi, Alireza Rouhani

Research output: Contribution to journalArticlepeer-review

126 Scopus Citations


Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances in the capability, scalability, and affordability of computing and communications. This paper discusses the advantages of DSE as compared to static state estimation, and the implementation differences between the two, including the measurement configuration, modeling framework and support software features. The important roles of DSE are discussed from modeling, monitoring and operation aspects for today's synchronous machine dominated systems and the future power electronics-interfaced generation systems. Several examples are presented to demonstrate the benefits of DSE on enhancing the operational robustness and resilience of 21st century power system through time critical applications. Future research directions are identified and discussed, paving the way for developing the next generation of energy management systems and novel system monitoring, control and protection tools to achieve better reliability and resiliency.
Original languageAmerican English
Pages (from-to)2462-2472
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - 2021

NREL Publication Number

  • NREL/JA-5D00-79945


  • converter interfaced generation
  • dynamic state estimation
  • kalman filtering
  • low inertia
  • monitoring
  • parameter estimation
  • power system stability
  • static state estimation
  • synchronous machines
  • synchrophasor measurements


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