Microgrid dynamics characterization using the automated state model generation algorithm

Brian B. Johnson, Ali Davoudi, Patrick L. Chapman, Peter W Sauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work presents a unified method for dynamic modeling and stability analysis of microgrid power systems. Using the automated state model generation algorithm, a state-space model of the microgrid power system is derived. The model may be used to conduct time-domain simulations and analyze system response to large transients. Additionally, eigenvalues of the system may be analyzed with respect to inverter control gains to assess small-signal stability. The proposed methodology is verified for a large-signal transient study and small-signal stability analysis using dual and single-inverter microgrid systems, respectively. The presented method is general and may be applied to balanced three-phase circuit topologies and inverter controllers without the need to derive circuit state equations.

Original languageEnglish (US)
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
Pages2758-2761
Number of pages4
DOIs
StatePublished - Aug 31 2010
Event2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
Duration: May 30 2010Jun 2 2010

Other

Other2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Country/TerritoryFrance
CityParis
Period5/30/106/2/10

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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