Modern power system state estimation methods

Yu Liu, Yuzhang Lin, Kang Yue

Research output: Chapter in Book/Report/Conference proceedingChapter


State estimation is an essential tool that greatly benefits the modeling, monitoring, operation, control and protection of modern power systems with increasing penetrations of converter based resources. This chapter introduces the principles of static and dynamic state estimation, with traditional measurements from SCADA systems, synchrophasor measurements from PMUs as well as sampled value measurements from Merging Units. Static state estimation assumes steady-state operation of the system, while dynamic state estimation also considers dynamic processes such as electromechanical and electromagnetic transients. Applications of static and dynamic state estimation are also discussed.

Original languageEnglish (US)
Title of host publicationEncyclopedia of Electrical and Electronic Power Engineering
Subtitle of host publicationVolumes 1-3
ISBN (Electronic)9780128232118
StatePublished - Jan 1 2022


  • Adaptive state estimation (ASE)
  • Discretization methods
  • Dynamic state estimation (DSE)
  • Dynamic state estimation based protection (DSEBP)
  • Error parameter estimation (EPE)
  • Kalman filter
  • Merging units (MUs)
  • Non-Gaussian
  • Phasor measurement units (PMUs)
  • Sampled value (SV) measurements
  • State estimation (SE)
  • Static state estimation (SSE)
  • Transmission line protection
  • Weighted least absolute value (WLAV)
  • Weighted least square (WLS)

ASJC Scopus subject areas

  • General Engineering


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