Eigenvalue analysis of microgrids using linearization and system identification techniques

Kali A. Liaka, Kleopatra Z. Tsagkari, Panagiotis N. Papadopoulos, Theofilos A. Papadopoulos, Grigoris K. Papagiannis

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

1 Citation (Scopus)

Abstract

In this paper the dynamic behavior of a microgrid is investigated using eigenanalysis and system identification techniques. A detailed nonlinear model of the microgrid is developed in Matlab/Simulink and is used to obtain a linearized approximation to perform eigenanalysis. Moreover, the system eigenvalues are also analyzed by applying a system identification technique on the dynamic responses. The results from both methods are compared and evaluated. A microgrid with rotating and inverter-interfaced units is studied and results for various operating scenarios, such as changes in the synchronous generators torque, load changes and changes in the inverters setpoints, are presented. The influence of each parameter change on the system eigenvalues is highlighted.

Original languageEnglish
Title of host publicationPower Engineering Conference (UPEC), 2014 49th International Universities
Place of PublicationPiscataway, NJ.
PublisherIEEE
ISBN (Electronic)9781479965571
DOIs
Publication statusPublished - 22 Oct 2014
Event49th International Universities Power Engineering Conference, UPEC 2014 - Cluj-Napoca, Romania
Duration: 2 Sep 20145 Sep 2014

Conference

Conference49th International Universities Power Engineering Conference, UPEC 2014
CountryRomania
CityCluj-Napoca
Period2/09/145/09/14

Keywords

  • dynamic model
  • dynamic performance
  • eigenvalue analysis
  • microgrid
  • system identification

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  • Cite this

    Liaka, K. A., Tsagkari, K. Z., Papadopoulos, P. N., Papadopoulos, T. A., & Papagiannis, G. K. (2014). Eigenvalue analysis of microgrids using linearization and system identification techniques. In Power Engineering Conference (UPEC), 2014 49th International Universities [6934673] IEEE. https://doi.org/10.1109/UPEC.2014.6934673