Advanced grid operational tools based on state estimation

Yu Liu, Yuzhang Lin, Junbo Zhao

Research output: Chapter in Book/Report/Conference proceedingChapter


With the integration of distributed energy resources and many other intelligent devices, there are increasing challenges in modeling, monitoring and protecting today’s power systems. The traditional state estimators need to be enhanced to deal with more complex situations and new developments are required to track system dynamic changes. In this chapter, a systematic framework for the detection, identification, and correction of power system model parameters is presented. A new monitoring tool based on dynamic state estimation is developed. In particular, a unified robust dynamic state estimation framework is proposed to monitor system real-time operating conditions while dealing with various data quality issues. Adaptive protection schemes based on dynamic state estimation are also developed, which can systematically examine the health condition of components of interest in real-time. Some tutorial examples are provided to demonstrate the benefits of new developments.

Original languageEnglish (US)
Title of host publicationNew Technologies for Power System Operation and Analysis
Number of pages46
ISBN (Electronic)9780128201688
StatePublished - Jan 1 2020


  • Dynamic state estimation
  • Kalman filter
  • LNLM test
  • Lagrange multipliers
  • Non-gaussian
  • Parameter estimation
  • Power system protection
  • Robust estimation

ASJC Scopus subject areas

  • General Engineering


Dive into the research topics of 'Advanced grid operational tools based on state estimation'. Together they form a unique fingerprint.

Cite this