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

• Published in: IET generation, transmission & distribution transmission & distribution, 2015-01, Vol.9 (1), p.90-103
• Main Authors: Papadopoulos, Panagiotis N, Papadopoulos, Theofilos A, Crolla, Paul, Roscoe, Andrew J, Papagiannis, Grigoris K, Burt, Graeme M
• Format: Article
• Language: English
• Subjects: Distributed generation; distributed generation unit; distributed power generation; Dynamic tests; Dynamical systems; Dynamics; Eigenvalues; eigenvalues and eigenfunctions; Electric power grids; inverter interface effect; invertors; laboratory microgrid system; measurement‐based analysis; Methodology; microgrid dynamic performance analysis; power system measurement; power system parameter estimation; Prony analysis; rotating distributed generation; smart grid technology; smart power grids; state‐space black‐box modelling technique; system eigenvalues; system identification techniques
• ISSN: 1751-8687; 1751-8695; 1751-8695
• DOI: 10.1049/iet-gtd.2014.0555

The dynamic performance of microgrids is of crucial importance, because of the increased complexity introduced by the combined effect of inverter interface and rotating distributed generation. This study presents a methodology for the investigation of the dynamic behaviour of microgrids based on measurements using Prony analysis and state-space black-box modelling 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 analyse 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.