State and Parameter Estimation for Microgrids

Yuzhang Lin, Yu Liu, Xiaonan Lu, Heqing Huang

Research output: Chapter in Book/Report/Conference proceedingChapter


Advanced applications of microgrid operation require accurate knowledge about the system operating state and model parameters. This information may not be directly and completely available to system operators. State and parameter estimation are powerful technologies for inferring unknown states and models of microgrids from available measurements. This chapter addresses the motivation, concept, methodology, and validation of state-of-the-art state and parameter estimation technologies for enabling microgrid visibility and situational awareness. Inverter-based resources and network components are two main types of components in the discussion. The versatility of the presented technologies is demonstrated via theoretical derivations or experimental results under a variety of application and operational scenarios.

Original languageEnglish (US)
Title of host publicationMicrogrids
Subtitle of host publicationTheory and Practice
Number of pages26
ISBN (Electronic)9781119890881
ISBN (Print)9781119890850
StatePublished - Jan 1 2024


  • anomaly detection
  • cyber-physical system
  • event detection
  • microgrid dynamics
  • parameter estimation
  • protection
  • situational awareness
  • state estimation

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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