Measurement-based analysis of the dynamic performance of microgrids using system identification techniques

Panagiotis Papadopoulos, Theofilos A. Papadopoulos, Paul Crolla, Andrew J. Roscoe, Grigoris K. Papagiannis, Graeme M. Burt

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)
217 Downloads (Pure)


The dynamic performance of microgrids is of crucial importance, due to the increased complexity introduced by the combined effect of inverter interfaced and rotating distributed generation. This paper presents a methodology for the investigation of the dynamic behavior of microgrids based on measurements using Prony analysis and state-space black-box modeling techniques. Both methods are compared and evaluated using real operating conditions data obtained by a laboratory microgrid system. The recorded responses and the calculated system eigenvalues are used to analyze the system dynamics and interactions among the distributed generation units. The proposed methodology can be applied to any real-world microgrid configuration, taking advantage of the future smart grid technologies and features.
Original languageEnglish
Pages (from-to)90-103
Number of pages14
JournalIET Generation, Transmission and Distribution
Issue number1
Early online date15 Sep 2014
Publication statusPublished - 8 Jan 2015


  • microgrid
  • laboratory
  • power system
  • smart grid


Dive into the research topics of 'Measurement-based analysis of the dynamic performance of microgrids using system identification techniques'. Together they form a unique fingerprint.

Cite this